JP2004030464A - Walking support device and center server - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a walking support apparatus which receives health control support at walking and jogging by communicating with a center server with the use of the walking support apparatus in particular and also offers walking support to a visually handicapped person, or the like and to provide the center server regarding the walking support apparatus for visually handicapped persons, or the like and a walking support program. <P>SOLUTION: When a user passes through support points 1 to 11 on a walking course in moving along the walking course, the user reads walking support information that corresponds to each of the support points 1 to 11 to receive the walking support. The user registers his/her own health control information in advance, and when the user passes through the support points 1 to 11, the user receives a message that corresponds to his/her walking condition by measuring, for example, a pulse, blood pressure and body temperature, and adding each variation value of the pulse, blood pressure and body temperature up to the next support point to these measured results to be compared with the preregistered health control information. These walking support apparatus and walking support program are significant to health control. <P>COPYRIGHT: (C)2004,JPO

Description

[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention relates to a walking support device for a visually impaired person or the like, and a walking support program.
[0002]
[Prior art]
In recent years, walking and jogging have been actively performed since the health boom, and it is thought that the pedometer (registered trademark) and the use of a pulse meter, a sphygmomanometer, a thermometer attached to a wristwatch, and the like have increased. However, they only report the measured value at that time. For example, during walking or jogging, even if the pulse, blood pressure, etc. are measured using a pulse meter, a sphygmomanometer, etc., the data is exactly the data at the time of measurement. It does not provide administrative support.
[0003]
On the other hand, the following systems have been proposed as support systems for visually impaired persons today. In this system, a voice guidance device is provided in a public facility or a place where many visually impaired people drop in, and communicates with a small receiver / transmitter held by the visually impaired person. For example, when a visually impaired person approaches a facility provided with a voice guidance device and enters a range where radio waves from the voice guidance device reach, a notification that voice guidance is possible is received. If the visually impaired person desires voice guidance in response to this notification, he can receive voice guidance thereafter by pressing a predetermined button provided on the small receiver / transmitter.
[0004]
Note that the above support system is not limited to visually impaired persons, but can also be used by hearing impaired persons, for example, by changing voice guidance to display guidance.
On the other hand, a visually impaired person or a hearing impaired person can use navigation using a GPS (global positioning system). For example, it measures its own position by GPS and receives walking assistance by voice or display.
[0005]
[Problems to be solved by the invention]
However, the above conventional example has the following problems.
First, a conventional pedometer (registered trademark) and a pulse meter, a sphygmomanometer, and a thermometer attached to a wristwatch support the user's health management information on the measurement result and the user's health when the current walking is continued. No health care support will be provided. For example, if you continue walking, your pulse and blood pressure will increase, causing health problems, and supporting health management during walking, such as predicting an increase in pulse and blood pressure from the state of the walking course in the future. Not performed.
[0006]
On the other hand, when the above-mentioned visual assistance system is used, the information received at the facility provided with the voice guidance device is all the same voice information, and different voice support cannot be received for each user. Users have different health conditions, and the walking direction and walking speed are also different. Therefore, it is desirable to be able to receive walking support for each user.
[0007]
In addition, when using the GPS, the user can confirm his / her own position, but cannot perform voice guidance or display guidance based on the position, and cannot receive walking support corresponding to a walking course.
Accordingly, the present invention provides a walking support device and a center server that use a walking support device and receive walking support through communication with a center server to support walking for visually impaired persons and the like.
[0008]
[Means for Solving the Problems]
According to the first aspect of the present invention, there is provided a registration unit for registering health management information of a user in advance in association with personal information, a walking state of the user extracted by a terminal device, and the use of the user. Receiving means for receiving the measurement result of the user's health management information, comparing the measurement result of the user's health management information received by the receiving means with the pre-registered health management information, and creating support information according to the comparison result This can be attained by providing a center server having support information creating means for transmitting the support information to the walking support device and transmitting the support information to the user.
[0009]
Here, the personal information and the health management information are registered in advance in the database of the center server. Then, when the user receives walking support, the health management information such as pulse, blood pressure, and body temperature is measured by a sensor provided in the walking support device, and sent to the center server via the network.
[0010]
The center server compares the measurement information with the pre-registered health management information. For example, if the measurement result exceeds a predetermined threshold from a normal value, the center server creates support information and transmits the support information to the walking support device.
With this configuration, the walking support device can notify the user of the support information and perform walking support including health management.
[0011]
According to a second aspect of the present invention, in the invention according to the first aspect, the comparison is performed by extracting terrain information of a moving range of a user who moves within a predetermined time while the walking user moves, and extracting the extracted terrain information. Based on the above, the health management information after a predetermined time is calculated, and the support information is created.
[0012]
With this configuration, it is possible to perform walking support including the user's subsequent action range, and it is possible to provide a more convenient walking support system for the user.
According to the third aspect of the present invention, there is provided a position information of a support position for a walking course set based on map information, a support information obtaining unit for obtaining support information from a center server, and input personal information. A registration unit for registering the health management information in association with, a comparison unit for measuring the health management information of the user and comparing the registered health management information in correspondence with the personal information, This can be achieved by providing a walking support device having a notification unit that notifies the user of health information.
[0013]
Here, the map information is stored in a storage unit such as a ROM in the walking support device, the map information is displayed on a display unit, and a walking course desired by the user is set. The setting of the walking course is set in accordance with an operation signal input by key operation or the like, and the data of the walking course after the setting is stored in an EEPROM or the like.
[0014]
The user moves according to the walking course set as described above, detects a support position on the walking course, reads out support information at the support position, and displays the information on the display unit. Also, the support information is notified to the user by voice. Here, the support information is content relating to the state of the walking course, and is, for example, support information such as a gentle uphill, a gentle downhill, an intersection, a railroad crossing, and the like.
[0015]
With this configuration, a user such as a visually impaired person can receive support during walking, and can use it as useful advice during walking.
According to a fourth aspect of the present invention, in the third aspect of the present invention, the health management information is added to the measurement result, and when the addition result exceeds the health management information registered corresponding to the personal information, a notification is issued. Configuration.
[0016]
For example, health management information such as pulse, blood pressure, and body temperature during normal times is stored in advance, and this health management information is compared with health management information during walking on a walking course. If there is a difference equal to or more than the predetermined value, a warning display is displayed.
According to a fifth aspect of the present invention, in the third or fourth aspect, for example, an acceleration sensor is provided, and the walking pattern of the user is stored based on a detection output of the acceleration sensor. This is a configuration for storing the walking speed at which the user walks.
[0017]
That is, an acceleration sensor is also provided in the walking support device, and the walking pattern of the user is stored based on the detection output of the acceleration sensor, and the walking speed corresponding to the walking pattern is further stored.
With this configuration, a more convenient walking support device can be provided.
[0018]
According to the sixth aspect of the present invention, there is provided a program used in a computer mounted on a center server connected to a walking support device via a network. Function for registering the health management information of the user, the function of receiving the walking state of the user extracted by the walking support device, and the measurement result of the health management information of the user, and measurement of the received health management information of the user The computer has a function of comparing a result with the pre-registered health management information and generating support information according to the comparison result, and a function of transmitting the support information to the walking assist device and informing the user of the support information. This can be achieved by providing a walking support program to be realized.
[0019]
The present invention is an invention of a walking support program. With such a configuration, the walking support device can display the support information on a display unit and perform walking support including health management.
According to the invention described in claim 7, the above-mentioned problem is a program used in a computer provided in a walking support device connected to a server via a network, and relates to a walking course set based on map information. Position information of the support position, a function of acquiring the support information from the center server, a function of registering the health management information corresponding to the input personal information, and a function of detecting the support position when walking on the walking course And a function of reading the support information at the support position and notifying the user of the information, and a function of measuring the health management information of the user at the support position and comparing the measured health management information with the registered health management information corresponding to the personal information And a function of notifying the user of health information based on the comparison result.
[0020]
The present invention is also an invention of a walking support program. With this configuration, a user such as a visually impaired can receive useful walking support.
[0021]
BEST MODE FOR CARRYING OUT THE INVENTION
Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.
<First embodiment>
FIG. 1 is a system configuration diagram of a walking support system including a walking support device and a center server of the present invention. The system shown in FIG. 1 includes a walking support device 1 (1a, 1b,...) As a terminal device, a support device 2 (2a, 2b, 2c,...), A center server 3, and a portable / PHS center 4. It is composed of The support device 2, the center server 3, and the portable / PHS center 4 are connected via a network, and the walking support device 1 is directly connected to the support device 2 by wireless communication, and is connected to the network via the portable / PHS center 4. Connected.
[0022]
The user of the walking support device 1 is, for example, a person who needs walking support, such as a visually impaired person, a hearing impaired person, or an elderly person, or a person who enjoys walking or jogging.
FIG. 2 shows an external configuration of the walking support device 1. In addition, the walking support device 1 holds the visually impaired person or the hearing impaired person or the person who enjoys walking or jogging during walking or jogging, and informs the user of information on walking environment or health management as support information to the user. It supports walking and jogging. For example, the support information can alert the user during walking or jogging to perform health management.
[0023]
The walking support device 1 has a large operation / display unit 5 on the front. The operation / display unit 5 displays walking support information and a map, which will be described later, and can display necessary keys to input necessary information. Further, the walking support device 1 includes a light emitting unit 6 and performs, for example, flushing when passing through a support point described later. Further, a small speaker 7 is provided on a side surface of the walking support device 1, and walking support by voice is also possible.
[0024]
The walking support device 1 having the above external configuration has an internal configuration shown in FIG. The walking support device 1 includes a CPU 10, a ROM 11, an EEPROM 12, a RAM 13, an input unit 14, a display unit 15, an external storage unit 16, an acceleration sensor 17, a direction sensor 18, a GPS 19, a barometric pressure sensor 20, a communication control unit 21, and a notification unit 22. Have been. Note that the notification unit 22 is a collective term for the light emitting unit 6 and the speaker 7, and a vibrator function (not shown).
[0025]
The CPU 10 performs an operation state determination process, a walking pattern determination process, a movement direction calculation process, a position calculation process, and an altitude calculation process described later. The ROM 11 stores a map information database (DB) and a walking pattern database (DB).
The EEPROM 12 records a user's motion pattern and is used for matching with a walking pattern registered in the ROM 11 in advance. It also has an area for storing personal information and health management information of the user, and a database of personal information and health management information is created by a registration process described later. The RAM 13 is used as a work area and includes various registers and various tables.
[0026]
The input unit 14 is, for example, a touch key formed on the operation / display unit 5, and inputs information such as a user's name, gender, and age, and health management information described later. Further, as described above, the display section 15 displays an input screen for the information, walking support information, map information, and the like. The external storage unit 16 is configured by a hard disk or the like, and can store various data necessary for the walking support processing.
[0027]
The acceleration sensor 17 detects a user's action (action) from accelerations in the X-axis direction, the Y-axis direction, and the Z-axis direction. The azimuth sensor 18 is a sensor that can detect the azimuth for each of the X-axis, Y-axis, and Z-axis components, and detects the direction in which the user holding the walking support device 1 moves. Based on the detection data of the direction sensor 18 and the detection data of the acceleration sensor 17, it is possible to grasp the trajectory of the user's action.
[0028]
The GPS 19 receives radio waves from a predetermined number or more of satellites and outputs the received signal to the CPU 10. The CPU 10 calculates the position of the user according to this information. Further, the atmospheric pressure sensor 20 detects the atmospheric pressure at the place where the user is located, and transmits the detected atmospheric pressure to the CPU 10. The CPU 10 performs altitude calculation processing based on the supplied atmospheric pressure data, and detects the altitude of the place where the user is located. Note that a device capable of directly detecting altitude can be provided instead of the barometric pressure sensor 20, and in this case, the altitude calculation processing by the CPU 10 is unnecessary.
[0029]
The communication control unit 21 has a function of performing transmission / reception control with the portable / PHS center 4 when supplying the information of the walking assistance device 1 to the network as described above. This communication may be a configuration using PHS communication, Bluetooth (BLUETOOTH), infrared communication, or even wired.
[0030]
On the other hand, the support device 2 is provided in various places in the city to support people who need walking support such as the visually impaired and the elderly, such as walking support and sales support, which are difficult to perform alone. For example, transmission / reception devices provided at ticket offices of public facilities and transportation facilities, ATMs and CD machines of banks and post offices, railroad crossings and intersections, road construction sites, and the like. When the walking support device 1 approaches, the support device 2 transmits support information, and intervenes in communication between the walking support device 1 and the center server 3. Communication between the walking support device 1 and the support device 2 is performed, for example, by Bluetooth (BLUETOOTH) or infrared communication.
[0031]
The center server 3 is connected to a network via the Internet or the like, and exchanges information with the walking support device 1 of the present example. FIG. 4A is a schematic diagram of the center server 3. As shown in FIG. 1, the center server 3 is a computer including a CPU, a ROM, a RAM, and the like. A storage device 9 such as a magnetic disk is connected, and data is stored in the storage device 9 as necessary. The data stored in the device 9 is read. In addition, the center server 3 executes processing described later according to a program stored in a ROM or the like.
[0032]
FIG. 2B is an internal system of the server 3 and includes a CPU 3a, a RAM 3b, a ROM 3c, an input unit 3d such as a keyboard, a display unit 3e, a communication control unit 3f, and a storage device 9. In the storage device 9, the position information of the support points in the predetermined area and the support information at the support points are registered. For example, FIG. 3C shows a database of support points in a predetermined area, in which data of latitude, longitude, and support contents (support information) of the support points are registered. Here, as the data of the support content (support information), for example, data such as "I'm here now. It will be a slight downhill from here." Or "There is a crossing of 〇〇." .
[0033]
In the present embodiment, since the walking support device 1 itself performs arithmetic processing and the like, a detailed description of the center server 3 will be given in the description of the second embodiment later.
Also, in FIG. 1 described above, a portable / PHS (personal handy phone system) center 4 is an interface (I / F) for supplying information transmitted from the walking assist device 1 to a network. Information is exchanged using the communication server.
In the above configuration, the processing of this example will be described below.
[0034]
First, the user's personal information and health management information are registered in the walking support device 1. FIG. 5 is a flowchart illustrating this registration process. First, the user displays, for example, touch keys on the operation / display unit 5 of the walking support device 1 shown in FIG. 2 and registers personal information (step (hereinafter, referred to as S) 1). Here, the user sequentially inputs his / her name, gender, age, address and contact information. This information is stored in the aforementioned EEPROM 12.
[0035]
FIG. 6 shows an example of personal information registered in the EEPROM 12 by the above input. For example, personal information whose name is “〇 × △ child”, gender is “female”, age is “54 years old”, address and contact information is “Tokyo ...”, and name is “〇 × △ child” Personal information of “male”, gender “male”, age “55 years old”, and address / contact information “Tokyo ...” is registered.
[0036]
Next, health management information is registered corresponding to the personal information (S2). For example, information on body temperature, pulse, and blood pressure in normal times is input. FIGS. 7A and 7B are examples of health management information registered in the EEPROM 12 by the input processing. FIG. 6A shows the health management information of the user whose name is “〇 × △ child”, and FIG. 7B shows the health management information of the user whose name is “〇 × △ male”. In FIGS. 7A and 7B, the information of the body temperature, pulse, and blood pressure registered in the items of “high” and “low” use, for example, a calculation formula defined in advance from the above-mentioned normal information. This is used in later health management. Note that a configuration may be adopted in which the user inputs the information by himself without using the calculation formula.
[0037]
For example, when the user shown in FIG. 5A is “〇 × △ 子”, “high” with respect to normal body temperature (36.4 ° C.), pulse (65), and blood pressure (70/125). The information is body temperature (36.8 ° C.), pulse (110), and blood pressure (85/135), and “low” information is body temperature (36.0 ° C.), pulse (61), and blood pressure (/ 105). When the user is “〇 × △ male”, it is as shown in FIG.
[0038]
Further, the personal information shown in FIG. 6 and the health management information shown in FIGS. 7A and 7B are linked by a link code ID1 or ID2, and one database can be searched for the other database.
When the registration of the personal information and the health management information is completed, the user's operation pattern is registered next. FIG. 8 is a flowchart illustrating this registration process. First, a process of detecting a user's motion pattern is performed (S3), and it is determined from the detection result of the motion pattern whether the user is walking (S4).
[0039]
FIG. 9 is a flowchart illustrating a specific example of the operation pattern detection process (S3). First, when the user holds the walking support device 1 and performs a walking operation, a signal waveform detected by the acceleration sensor 17 is input to the CPU 10, and the CPU 10 extracts acceleration of each coordinate axis (S3-1). FIGS. 10A to 10C are diagrams illustrating signal waveforms supplied from the acceleration sensor 17 in the X-axis direction, the Y-axis direction, and the Z-axis direction. The signal waveform supplied from the acceleration sensor 17 has a peak as shown in FIGS. 3A to 3C, the peak interval in the horizontal axis represents the period, and the peak interval in the vertical axis (amplitude). ) Indicates acceleration. For example, in the case of the X-axis direction shown in FIG. 7A, the peak interval (period) in the horizontal axis direction of the peaks x1 and x4 is | tx1−tx4 |, and the peak interval (acceleration) in the vertical axis direction is | gx1−gx4 |. Similarly, the peak interval (period) of the peaks x4 and x2 in the horizontal axis direction is | tx4−tx2 |, and the peak interval (acceleration) in the vertical axis direction is | gx4−gx2 |.
[0040]
Next, with respect to the signal waveform having the above configuration, first, a peak point is extracted for one coordinate (S3-2). The peak point is extracted by, for example, serially receiving input data in the X-axis direction, and determining a point at which the input data (acceleration) changes from increasing to decreasing and a point at which the input data (acceleration) changes from decreasing to increasing. Extract as
[0041]
Next, a peak interval (cycle) in the horizontal axis direction is calculated from the obtained peak point data (S3-3). For example, in the example shown in FIG. 10A, peak points such as x1 to x6 are extracted, and their peak intervals are | tx1-tx4 |, | tx4-tx2 |, | tx2-tx5 |, | tx5-tx3 | , | Tx3−tx6 |, and the respective intervals are calculated.
[0042]
Next, a peak interval (acceleration) in the vertical axis direction is calculated from the obtained peak point data (S3-4). For example, in the example shown in FIG. 9A, the peak intervals (acceleration) are | gx1−gx4 |, | gx4-gx2 |, | gx2-gx5 |, | gx5-gx3 |, | gx3-gx6 | These peak intervals (accelerations) are calculated.
[0043]
Next, an average value of the peak interval in the horizontal axis direction and the peak interval in the vertical axis direction (hereinafter, referred to as a cycle or an acceleration, respectively) is obtained (S3-5). Here, the average value of the period is set to tx0, and the average value of the acceleration is set to gx0.
Next, it is determined whether the calculation of the cycle and the acceleration in the Y-axis direction and the Z-axis direction is performed (S3-6), and the same processing is performed for the Y-axis direction and the Z-axis direction to calculate the cycle and the acceleration ( S3-6 is NO, S3-2 to S3-6). Therefore, in the case of FIG. 10B, the cycle in the Y-axis direction is | ty1-ty4 |, | ty4-ty2 |, | ty2-ty5 |, | ty5-ty3 |, and | ty3-ty6 | Yes, the average value of the cycle ty0 is calculated. The accelerations are | gy1-gy4 |, | gy4-gy2 |, | gy2-gy5 |, | gy5-gy3 |, and | gy3-gy6 |, and similarly, the average value gy0 of the acceleration is calculated. In the Z-axis direction, there is no peak point, the cycle is 0, and the acceleration is | gz |.
[0044]
Next, a database (DB) in which the operation pattern is registered is searched (S3-7), and it is determined whether a matching operation pattern exists (S3-8).
FIG. 13 is a database in which information of the above-mentioned operation patterns is recorded, and operation pattern information such as “walk on a flat ground”, “walk on a light downhill”, “walk on a gentle uphill” and the like is registered.
[0045]
Here, if there is no matching operation pattern (S3-8: NO), the process proceeds to another process. If there is a matching motion pattern (YES in S3-8), it can be determined that the user is walking. Therefore, returning to the flowchart shown in FIG. 8, if the user is walking (YES in S4), it is determined whether the detected pattern is registered in the walking pattern information (S5). If it is determined that the user is not walking (S4: NO), the process proceeds to another process.
[0046]
Next, in the determination of whether or not the walking pattern information has been registered (S5), in the first process, the walking pattern information has not been registered (S5: NO). Therefore, in this case, an operation pattern registration process is performed (S6). FIG. 11 is a diagram specifically illustrating this processing. First, the calculation results of the above-described cycle in each axis direction and acceleration are displayed (S6-1). Next, an operation name is input (S6-2). For example, if the operation is walking on flat ground, the operation name “walk on flat ground” is input. If the operation is light downhill walking, the operation name “light downhill walking” is input, and if the operation is gentle uphill walking, the operation name “gently uphill walking” is input.
[0047]
Here, FIG. 12 is an example of an operation pattern registration screen, in which the respective calculation results in the X-axis direction, the Y-axis direction, and the Z-axis direction are displayed, and the user inputs the operation name in the operation name input area 25. . For example, an operation name such as “walking on a flat ground”, “walking lightly downhill”, “walking slowly uphill” is input.
[0048]
Next, when the registration button 26b shown in the figure is checked, the CPU 10 records the information of the operation name in the EEPROM 12 together with the calculation result (S6-3). As described above, FIG. 13 is a database in which the operation pattern information is registered. The operation pattern name corresponding to the operation and the respective outputs of the acceleration sensor 17 in the X-axis direction, the Y-axis direction, and the Z-axis direction for the operation pattern. , The acceleration and the cycle are respectively recorded. Each operation performed on a daily basis is registered as the operation pattern information, and information on the walking operation is also registered in the walking pattern information.
[0049]
Next, the acceleration and the cycle are registered in the walking pattern information, and the operation name of the operation pattern is registered in the item of the walking environment (S7, S8). When correcting the input information of the operation name, the operation is performed by operating the return button 26a.
FIG. 15 is a database created by the above input, in which the acceleration and the cycle are respectively recorded in the X-axis direction, the Y-axis direction, and the Z-axis direction corresponding to the walking pattern. FIG. 7A shows a walking pattern in which the user is “〇 × △ child”, and FIG. 7B shows an example in which the user is “〇 × △ male”. Details will be described later.
[0050]
Next, after registering the information on the operation name and the like, the process is performed according to the flowchart shown in FIG. 14, and the walking speed is firstly calculated (S9). In this walking speed calculation process, for example, the position of two points is detected based on the output of the GPS 19 described above, the distance between the two points is calculated from map data, and the walking speed is calculated from the travel time between the two points. I do. Further, the walking speed can be obtained using an acceleration sensor. In this case, the output pattern of the acceleration sensor and the walking speed are stored in advance in association with each other, and when the output pattern matches the measured output pattern of the acceleration sensor, the walking speed corresponding to the output pattern is extracted. The walking speed data thus calculated is registered in the walking pattern information of FIG. 15 (S10).
[0051]
Next, changes in body temperature, pulse, and blood pressure per unit time are measured and registered in the walking pattern information of FIG. 15 (S11). In this measurement, the amount of change per unit time is calculated from the results measured at regular intervals by a body temperature sensor, a pulse meter, and a sphygmomanometer provided at a position where the sensor touches the user's body. It is sent to the support device 1 by Bluetooth (BLUETOOTH), infrared communication, or wire.
[0052]
FIG. 16A is an external view of a wristwatch 30 provided with a temperature sensor, a pulse meter, and a sphygmomanometer. The temperature sensor and the like touch the skin of the user, for example, are disposed on the back of the wristwatch 30. In addition, the wristwatch 30 is provided with a liquid crystal display unit 31 for displaying data of body temperature measured by a temperature sensor, pulse measured by a pulse meter, and blood pressure measured by a sphygmomanometer.
[0053]
FIG. 2B is a circuit configuration diagram of the wristwatch 30. The CPU 32, the RAM 33, the ROM 34, the temperature sensor 35, the pulsimeter 36, the sphygmomanometer 37, the input unit 38, the communication control unit 40, the timing unit 41, and The liquid crystal display unit 31 is configured. Note that the CPU 32 performs a timing process and a process of input data from the sensor according to a program stored in the ROM 34. For example, the temperature sensor 35, the pulsimeter 36, and the sphygmomanometer 37 perform measurement processing according to a user's measurement instruction supplied from the input unit 38, and output measurement data to the CPU 32. The measurement data is output to the liquid crystal display unit 31 under the control of the CPU 32, and the display shown in FIG. Further, the measurement data is sent to the walking support device 1 by the communication control unit 40, and is used for processing on the walking support device 1 side. Further, at this time, as described above, communication between the walking support device 1 and the wristwatch 30 is performed by Bluetooth (BLUETOOTH), infrared communication, or the like.
[0054]
The information (health management information) measured as described above is registered in the database shown in FIG. The data shown in the figure is an example in which body temperature, pulse, and blood pressure per unit time are registered. For example, the pulse of the walking pattern A is measured every minute and changes +0.5 after 3 minutes. Is measured, the value is converted to 10 per hour.
[0055]
On the other hand, in the above-described determination (S5 shown in FIG. 8), when the information on the searched walking pattern is already registered (S5: YES), a new calculation is performed in the database of the walking pattern (walking pattern information in FIG. 15). The registered information of the acceleration and the cycle is input, and the registered data is updated (S12). At this time, changes in body temperature, pulse, and blood pressure per unit time are measured and updated to the walking pattern information in FIG. 15 (S13). This measurement is as described above. Data measured by the temperature sensor 35, the pulse meter 36, and the sphygmomanometer 37 provided in the wristwatch 30 are transmitted to the walking support device 1 and registered in the database.
[0056]
As described above, FIG. 15A is an example showing the registration data of the user “〇 × △ child” registered by the above processing, and the walking pattern differs depending on the walking environment. Naturally, the walking pattern is different in the hill walking or the gentle uphill walking, and information is registered for each walking pattern. For example, the walking pattern A is a flat-ground walking, the acceleration in the X-axis direction is ± 0.5, the cycle is 0.5, the acceleration in the Y-axis direction is ± 0.5, the cycle is 0.5, and Z The axial acceleration is 1 ± 0.5, the cycle is 0.5, and the walking speed is 4 km / h. It should be noted that "light downhill walking", "gently uphill walking" and the like are also as shown in FIG.
[0057]
Further, a transition value of the health management information per unit time is recorded as the health management information. For example, in the case of a pulse, the rate is + 10 / h in the case of "walking on a flat ground", -5 / h in the case of "light walking downhill", and + 15 / h in the case of "loose walking uphill". Although specific numerical values are not shown in the figure, data is similarly registered for blood pressure and body temperature.
[0058]
Further, as described above, the transition value of the health management information is, here, data obtained by quantifying a value that increases / decreases every hour, and is set according to the severity of the walking motion.
FIG. 4B shows the registered data of the user “〇 × △ male”. As in FIG. 4A, the data is registered in correspondence with level walking, light downhill walking, or gentle uphill walking. Have been.
[0059]
As described above, the personal information and the health management information are registered in the walking support device 1, the walking information such as the walking pattern and the walking speed is registered, and then the walking course used by the user is registered. FIG. 17 is a flowchart for explaining this processing.
[0060]
First, a map is displayed on the operation / display unit 5 of the walking support device 1 (step (hereinafter, referred to as ST) 1). In this process, the CPU 10 reads out the map information from the map information database in the ROM 11 and displays the map information.
Next, the user specifies a walking course or a walking area (ST2). For example, the user traces a walking course on the map, or designates the course by sequentially specifying points of the walking course. FIG. 18A shows an example of a walking course designated by a user. When a walking area is designated, for example, a surrounding area on a map is designated.
[0061]
Next, the user checks the setting button (not shown) to transmit the information to the center server 3 (ST3). This information is transmitted to the center server 3 via the network as described above, and the center server 3 receives this information (ST4).
[0062]
The center server 3 searches the database of the center server 3 according to the received information on the walking course or the walking area (ST5). Then, the walking support information included in the walking course or the walking area is extracted from the database (ST6) and transmitted to the walking support device 1 (ST7).
[0063]
The walking support device 1 receives the information transmitted from the center server 3 and stores the walking support registration data in an area allocated to the EEPROM 12 (ST8, ST9). FIG. 18B is an example of a case where the walking support device receives and stores the walking support information supplied from the center server 3. Information on support points 1 to 11 existing along the walking course designated by the user is described. For example, latitude and longitude of the support points 1 to 11 and specific support contents are described.
[0064]
Next, the terrain information of the course is read from the map information registered in the ROM 11 of the walking support device 1, a corresponding pattern of the walking pattern information (FIG. 15) is selected for the terrain information, and Register (ST10). In this case, if the terrain information of the course is included in the ROM 11 of the walking support device 1, this information is used, and if not, the necessary terrain information is further read from the center server 3.
[0065]
Next, the walking speed is extracted from the registered walking pattern, the required time between each supporting point is calculated from the distance between the supporting points, and registered in the walking support registration data (ST11). Note that the distance between the support points can be known from the latitude and longitude data of each of the support points 1 to 11 shown in FIG. 18A, and the walking speed of each walking pattern is shown in FIGS. It is possible to know from the data registered in b), and it is possible to easily calculate and register the required time between the support points from both the data.
[0066]
Next, based on the health management information registered in the above-described walking pattern information (FIG. 15), the variation value of each health management information is registered in the walking support registration data (FIG. 18) (ST12). That is, in the area of pulse fluctuation, blood pressure fluctuation, and body temperature fluctuation in FIG. 18B, the value of the health management information that fluctuates from the start of walking in that section to the start of walking in the next section is calculated and registered. For example, at the support point 1, since the walking pattern is B and the required time between the points is 3 minutes, the pulse fluctuation of ○ × ○ child is −5 / h extracted from the walking pattern information (FIG. 15A). It becomes -0.25 / h when converted to 3 minutes.
[0067]
As described above, when the registration of the walking support information shown in FIG. 18B is completed, the user actually walks on the walking course and receives the walking support.
FIG. 19 is a flowchart illustrating a process when actually walking and receiving walking support. First, detection processing of a user's motion pattern is performed (step (hereinafter, referred to as STP) 1). This operation pattern detection processing is the same as that described above, and is executed according to the flowchart shown in FIG. 20 (processing (STP1-1 to STP1-8) shown in FIG. 20). If there is a matching pattern (STP1- 8 is YES), the registered data of the corresponding pattern is updated, the operation name is extracted and temporarily stored (STP1-9, STP1-10).
[0068]
On the other hand, if there is no matching pattern (NO in STP1-8), the extracted operation pattern is, for example, an operation pattern other than walking (for example, an operation pattern such as sitting, stopping, etc.), and it is determined whether or not to register (step S8). STP1-11), when registering, the operation pattern is registered, and the input operation name is temporarily stored (STP1-12, STP1-13). The registration of the operation pattern in this case is based on FIGS. 11 to 13 already described.
[0069]
Next, returning to the processing of the flowchart shown in FIG. 19, if it is determined in the above processing that the user is not walking (NO in STP2), another processing is performed. On the other hand, when it is determined that the user is walking (STP2: YES), the current position of the user is detected (STP3).
[0070]
FIG. 21 is a flowchart illustrating the current position detection process. To obtain the current position, first, it is determined whether to obtain position data from the support device 2 (2a, 2b, 2c, ...) (STP3-1). Here, the assisting device 2 transmits accurate position information at a certain position, and is installed at a public facility such as a station or a post office, a bank, a railroad crossing, or the like where a user can easily visit. , Accurate position information can be obtained.
[0071]
FIGS. 22A and 22B are flowcharts illustrating an operation in which the walking support device 1 obtains position information while receiving support data from the support device 2. During walking, the walking support device 1 determines access to the support device 2 at a predetermined cycle (step (hereinafter, denoted by W in FIGS. 22A and 22B) 1). The support data is received from the support device 2 (W1 is YES, W2). The support data is, for example, information on a facility where the support device 2 is installed, and is information such as a timetable or an inquiry about a store in front of a station in a station.
[0072]
Next, position data is received from the assisting device 2 that has accessed (W3, STP3-2). The walking support device 1 performs a walking support process of the user based on the acquired information (W4), and further performs a correction process of the detection position of the GPS 19 (W5). By this processing, for example, the GPS 19 can correct an error in position detection using a satellite, and can always detect an accurate position.
[0073]
On the other hand, the support device 2 waits for access to the walking support device 1 (W6), and when the walking support device 1 is accessed (W6: YES), transmits the above-described support data (W7), and further transmits position data. (W8). Further, the walking support device 1 (user) notifies the center server 3 of information indicating that the user is at the position of the support device 2 (W9). With this configuration, the center server 3 can know the exact position of the walking support device 1.
[0074]
In addition, even when there is no access to the support device 2, the position of the walking support device 1 can be measured by accessing the GPS 19 (YES in STP3-3). In this case, the GPS 19 receives three or more satellite radio waves, the CPU 10 performs a position calculation process (STP3-4), and the position of the walking support device 1 is always specified (STP3-5). Note that even when the user is in a place where satellite radio waves cannot be received (NO in STP3-3), the detection output of the acceleration sensor 17 and the azimuth sensor 18 can be used to perform position detection processing. It is always specified (STP3-6, STP3-5). In this case, the azimuth of each output (X axis, Y axis, Z axis) of the acceleration sensor is detected based on the output of the azimuth sensor, and the walking speed and the walking direction on the coordinate axis can be obtained from the output pattern of the acceleration sensor. (For example, while walking at 4 km / h in the X-axis direction). The walking direction on this coordinate axis is converted into a walking direction, and the current position is detected based on a locus from a reference point on the map.
[0075]
The user walks on the walking course while watching the support information displayed on the walking support device 1. During this time, the passage of the support point is determined (STP4). When the vehicle passes the support point (STP4: YES), the walking support processing is performed (STP5). For example, when passing through the support point 1, as shown in FIG. 23A, the light-emitting unit 6 emits flashing light to activate a vibrator (not shown) to vibrate the entire walking support device 1. Therefore, the user knows that he has reached the position of the support point. The user looks at the map displayed on the operation / display unit 5 and confirms that he is at the support point 1.
[0076]
In addition, the information on the above-mentioned support contents is also read out to the operation / display unit 5 and registered at the support point 1 in FIG. 18 (b). Is displayed. Therefore, the user can read the support information and know in advance the state of the walking course to pass. Note that the above message is also given by voice from the speaker 6. For example, even when the user is a visually impaired person, the state of the walking course can be known.
[0077]
When the user passes through the support point 2, a message “There is a crossing of 〇〇” registered at the support point 2 in FIG. 18B is displayed, and the user steps on the support point. We can know the existence of the sword and call the user's attention. Further, when passing through each of the other support points 3 to 11, the corresponding support information is displayed and sounded from the database to alert the user. Therefore, a visually impaired person, a hearing impaired person, an elderly person, and the like can receive effective walking support by holding the walking support device 1.
[0078]
Next, health management measurement is performed (STP6). FIG. 24 is a flowchart specifically explaining this processing. First, the pulse, blood pressure, and body temperature are measured (step (hereinafter, referred to as U) 1). Then, the measured pulse, blood pressure, and body temperature data are compared with the health management information (U2). Here, the health management information is stored in the EEPROM 12 in advance, and is the information shown in FIGS. 7A and 7B described above. Therefore, the CPU 10 reads the health management information shown in FIGS. 7A and 7B and compares it with the measured pulse, blood pressure, and body temperature (U3).
[0079]
If the pulse, blood pressure, and body temperature are not normal values, a warning is issued (U3 is NO, U4). For example, as shown in FIG. 25A, a message “Pulse exceeds the set value. Please rest” is displayed.
Next, health management information corresponding to the current support point is extracted from the walking support registration data (U5). That is, the fluctuation value of each health management information is read from the database stored in the walking support registration data (FIG. 18B). Then, the fluctuation value is added to the measured pulse, blood pressure, and body temperature data (U6). For example, from the support point registration data (FIG. 18), the pulse fluctuation value when passing through the support point 1 is -0.25. This -0.25 is added to the pulse of the measurement result.
[0080]
Next, it is determined whether the data added by the above processing exceeds the normal value of the user (U7). This determination is made by comparing with the data of the health management information registered in FIG. 7. For example, in the case of the pulse whose name is “〇 × △ 子”, if the measured value is 70, the measured value is changed to (−0. 25) is added to be 70.25, and the pulse at the end of walking in the section of the support point 1 (at the start of the support point 2) is 70.25. The added value 70.25 may be considered as a substantially normal value. In this case, the determination (U7) is YES, and the process ends.
[0081]
On the other hand, in the above case, when the added value becomes 110 or more or 61 or less, it exceeds the normal value. Accordingly, the determination at this time (U7) is NO, and a warning is issued (U8). For example, as shown in FIG. 25B, a display such as "Slightly higher pulse. Slow down the pace a little."
[0082]
Although the above-mentioned fluctuation value is less than 1 because the time required between points is short, the actual time required between points is expected to be longer, and the fluctuation value at that time is a value exceeding 1. Become.
The same applies to blood pressure and body temperature, not limited to the above pulse. It is determined whether or not the measurement result exceeds the data registered in the health management information. Arouse. Therefore, for example, when approaching an uphill, the pulse and blood pressure exceed the normal values, and when a warning is issued, the user pays attention, for example, takes a break or slows down the walking speed. Therefore, health management can be efficiently performed by using the walking support device of this example.
[0083]
By performing the processing as described above, the user can leave the measurement results of the actual pulse, blood pressure, and body temperature in the walking course in the database, and can use these information effectively thereafter.
26 (a) and 26 (b) show that the user himself registered information corresponding to the walking course. In this case, registration point 1 (registration 1) is set between support points 2 and 3, longitude, latitude, and support content are registered, and registration point 2 (registration 2) is set between support points 9 and 10. Similarly, the longitude, latitude, and support contents are registered. With such a configuration, it is possible to register the support content according to the user's needs. Therefore, a system that is more user-friendly can be provided.
<Second embodiment>
Next, a second embodiment of the present invention will be described.
[0084]
In the above-described embodiment, the processing of the health management information is performed on the side of the walking support apparatus 1, but in the present embodiment, the processing is performed on the side of the center server 3, support information is created in accordance with the processing result, and the support information is generated. And displays it on the display unit.
The system configuration of FIG. 1 described in the above embodiment, the configuration of the walking support device 1 shown in FIGS. 2 and 3, and the basic configuration of the center server 3 shown in FIGS. Can be similarly used. However, in this example, a database for storing the personal information and the health management information described above is constructed on the center server 3 side.
[0085]
FIG. 27 is a diagram showing a configuration of a database constructed in the center server 3, which is a database of personal information. The database shown in FIG. 3 includes, for example, storage areas for name, gender, age, address and contact information, and height, weight, life activity, and calorie consumption (Kcal / day). For example, the name is “〇 × △ child”. , Gender is “female”, age is “54 years old”, address / contact information is “Tokyo ...”, height is “156 cm”, weight is “50 kg”, life activity is “active”, and calorie consumption is “1500”. (Kcal / day) "is registered. Incidentally, personal information is similarly registered for the user (name) “〇 × △ 雄”.
[0086]
In addition, health management information is also registered corresponding to the personal information. FIGS. 28 (a) and 28 (b) are health management information databases. FIG. 28 (a) shows health management information of a user “$ × △ child”, and FIG. Is the health management information of “〇 × △ 雄”. In FIGS. 7A and 7B, the information of the body temperature, the pulse and the blood pressure registered in the items of “high” and “low” are calculated from the above-mentioned normal information as in the case of FIG. It is also entered by the user himself and used in later health management.
[0087]
Also, the personal information shown in FIG. 27 and the health management information shown in FIGS. 28 (a) and (b) are linked by the link code ID1 or ID2 as described above, and one database can be searched for the other database. .
Hereinafter, the processing operation of this example will be described.
[0088]
First, FIG. 29 is a flowchart illustrating the registration processing of this example. In this example, the user's personal information and health management information are registered in the storage device of the center server 3. First, the user displays, for example, touch keys on the operation / display unit 5 of the walking support device 1 shown in FIG. 2 and inputs personal information (step (hereinafter, referred to as V) 1). Here, the user sequentially inputs his / her name, gender, age, address / contact information, height, weight, and life activity information. Next, health management information is input in correspondence with the personal information (V2), and the personal information and health management information are transmitted to the center server 3 (V3).
[0089]
On the other hand, the center server 3 receives the above information (V4) and registers it in the corresponding area of the database (V5). By this registration process, personal information is sequentially registered in the database shown in FIG. 27, and data of height, weight, and life activity are also stored in the database. Also, health management information is registered in the database shown in FIGS.
[0090]
Next, the calorie consumption per day (Kcal / day) is calculated based on the data of the height, the weight, and the living activity (V6). For example, it is possible to calculate the daily calorie consumption by calculating the standard weight based on the BMI (Body Mass Index) method and multiplying the daily calorie consumption per kilogram of body weight. The daily calorie consumption per kilogram of body weight is determined in advance depending on the type of work, and 25-30 for general clerks and managers, 30-35 for service and transportation workers, agriculture, fishing 35 to 40 for construction workers, and 40 to 45 for athletes. For example, in the case of ○ × △ child, since the weight is 50 kg and the height is 156 cm, the BMI is 20.5 from (Equation 1).
[0091]
50 ÷ (1.56) square = 20.5 (Equation 1)
When the standard weight is calculated using this BMI, it is about 50 kg from (Equation 2).
(1.56) square × 20.5 ≒ 50 (formula 2)
Accordingly, the daily calorie consumption when ○ × △ child is a general clerk is 1250 Kcal to 1500 Kcal from (Equation 3) and (Equation 4).
[0092]
50 × 25 = 1250 (Equation 3)
50 × 30 = 1500 (Equation 4)
Then, the calculated calorie consumption (Kcal / day) is registered in the area shown in FIG. 27 (V7). For example, 1500 (Kcal / day) is registered in the case of the above-mentioned user “〇 × △ child”.
[0093]
When the personal information and the health management information have been registered as described above, the walking support processing by the center server 3 is performed. FIG. 30 is a flowchart illustrating the walking support processing. First, the walking support device 1 performs a process of detecting a motion pattern of the user (V8). This processing is the processing described with reference to FIG. 9 described above. The information detected by the acceleration sensor 17 is processed by the CPU 10, the cycle in each direction of the X axis, the Y axis, and the Z axis and the acceleration are calculated, and the cycle in each direction is calculated. This is a process of comparing the average value of the acceleration and the acceleration with the database of the operation pattern and detecting the same.
[0094]
Next, it is determined whether the motion pattern obtained by the above processing is a walking pattern (V9). Here, if it is determined that the pattern is a walking pattern (V9: YES), speed information corresponding to the output of the acceleration sensor 17 is extracted from the table (V10).
Here, this table is the table shown in FIG. 15, and corresponding speed information is extracted from the table. If it is determined that the user is not walking (V9 is NO), the process proceeds to another process.
[0095]
Next, the walking support device 1 measures health management information (V11). In this measurement, for example, the pulse, blood pressure, and body temperature are measured by various sensors (not shown) provided at positions touching the user's body, and this information is transmitted to the walking support device 1 by communication means such as Bluetooth (BLUETOOTH). Sent. The temperature sensor, the pulse meter and the sphygmomanometer used in this example are, for example, those provided in the wristwatch 30 described above with reference to FIG.
[0096]
Next, the current position of the user is detected (V12). This detection process is performed by the GPS 19.
Next, the user's position information, motion pattern, walking speed, and health management information measured by the above processing are transmitted to the center server 3 via the network (V13).
[0097]
FIG. 31 is a flowchart for explaining the subsequent processing on the center server 3 side. The information transmitted from the walking support device 1 is received by the center server 3 and secured in the memory (V14). The center server 3 performs a health management measurement process based on the various information received (V15).
[0098]
FIG. 32 is a flowchart illustrating the health management measurement process. First, the health management information registered in advance in the center server 3 is compared with the newly received health management information, and the newly received health management information reaches the value “high” or “low” of the previously registered health management information. Is determined (V15-1). For example, if the user name is “〇 × △ 子” and the newly measured values are body temperature (36.4 ° C.), pulse (120), and blood pressure (70/125), the pulse from FIG. Exceeding "high". Therefore, in this case, it is determined that there is an abnormality (V15-2 is present). The same applies to the case where the value of the body temperature or the blood pressure exceeds the value of “high” or “low”, not limited to the pulse.
[0099]
If it is determined that the health management information is abnormal, support information A is created (V15-3). As the support information A, for example, as shown in FIG. 33, a message “Pulse exceeds the set value. Please rest” or another display example shown in FIG. 33 is displayed.
[0100]
As for the walking pattern information and the walking support information, the data shown in FIGS. 15 and 18 is also stored and managed on the server side.
On the other hand, when it is determined that there is no abnormality in the health management information (No in V15-2), it is determined whether the received operation pattern is the same as the previous one (V15-4). Here, if the received operation pattern is the same pattern as the previous one (V15-4: YES), it is understood that the user has repeated the same operation and is walking in the same walking pattern. Therefore, in this case, the amounts of change in the pulse, blood pressure, and body temperature per unit time are calculated (V15-5). This calculation process is the same as that described in the first embodiment. For example, in the case of the user “〇 × △ child”, “walking on flat ground” is + 10 / h per unit time, and “light”. In the case of "downhill walking", it is -5 / h, and in the case of "gently uphill walking", it is + 15 / h. Therefore, information on the amount of change is obtained by selecting one of the operation patterns of the user.
[0101]
Next, the time until the health management information registered in the center server 3 reaches “high” or “low” is calculated from the amount of change and the current health management information (V15-6). For example, if the current pulse of the user “〇 × △ 子” is 100, the pulse rises by 10 if the user walks on a flat ground for another hour. Therefore, in this case, if the same walking is continued for another hour, the pulse will reach the “high” value. In the case of "loose uphill walking", the value is + 15 / h, and if the same walking is continued for further 40 minutes, the "high" value is reached.
[0102]
Next, the result is created as support information B (V15-8). FIG. 34A shows an example of the support information B. For example, a message such as "If you walk at this pace, the pulse exceeds the set value after 40 minutes. Please rest a little." The display is not limited to the above display, and a display as shown in FIG.
[0103]
On the other hand, in the determination (V15-4), if the received operation pattern is not the same pattern as the previous one (V15-4 is NO), the user's operation pattern has changed, and the terrain information extraction processing is executed ( V15-7). FIG. 35 is a flowchart specifically explaining this processing.
[0104]
First, the current position on the map is extracted based on the position information (V15-7-1), and the distance traveled in, for example, 10 minutes is calculated (V15-7-2). This calculation can be obtained by multiplying the walking speed of the user by the walking time (for example, 10 minutes). The walking speed information is transmitted from the walking support device 1 in advance.
[0105]
Next, topographic information in a range corresponding to the distance calculated from the current position toward the traveling direction is extracted (V15-7-3). This terrain information is registered in the center server 3, and this information is searched for and extracted.
Next, a pulse 10 minutes later is calculated from the extracted topographical information, the current pulse, and the distance (V15-7-4). For example, when the extracted terrain information is “steep uphill”, the pulse fluctuation rate of the child ○ × △ is + 25 / h, and the pulse value received from the walking support apparatus 1 is assumed to rise by about 4 in 10 minutes. Add 4 to calculate the pulse after 10 minutes. Also, the corresponding information is read out and calculated in the case of “gently uphill” or “light downhill”.
[0106]
Next, the calculation result is compared with the registered pulse, and if the calculation result exceeds the registered pulse, the support information C is created (V15-7-5 is YES, V15-7-6). The support information C is, for example, the same information as that in FIG.
After creating the support information A to C corresponding to the walking state of the user as described above, the operation pattern is recorded in the action record data together with the time data (V16). Further, the calorie consumption (Kcal / day) for each operation pattern is calculated and recorded in the action record data (V17). FIG. 36 shows an example of action record data, in which an action pattern and calorie consumption (Kcal / day) are recorded in the corresponding area.
[0107]
Next, the total calorie consumption is compared with the registered calorie consumption, and when the total calorie consumption exceeds the registered calorie consumption (V18, V19: YES), support information D is created (V20). FIG. 37 shows an example of the support information D, which indicates that "the required calorie consumption per day 1800 (Kcal / day) has exceeded 500 (Kcal / day)."
[0108]
The support information A to D created by the above processing is transmitted from the center server 3 to the walking support device 1 (V21). On the other hand, when the walking support device 1 receives the support information from the center server 3 (V22 shown in FIG. 30), it notifies the support information (V23). For example, it is displayed on the display unit and is notified to the user by voice.
[0109]
That is, the user knows the support information by displaying or notifying by voice. Therefore, the user can, for example, stop the subsequent walking or reduce the walking speed to perform a safe walking by the support information created by the center server 3. Further, in this example, information on calorie consumption can also be obtained, and health management can be realized from this point as well.
[0110]
In addition, the walking support apparatus 1 performs a detection process of the current position (V24), and determines whether or not it is the support points 1 to 11 (V25), as in the above-described embodiment. If the support points are 1 to 11 (YES in V25), the same walk support processing as in the first embodiment is received (V26).
[0111]
As described above, in the present embodiment, the center server 3 performs the arithmetic processing based on the health management information, the position information, and the speed information measured by the walking support device 1 to create support information, and the display unit of the walking support device 1 In this way, the user is assisted in walking and health management by displaying the information or by sound notification.
[0112]
Further, according to the present example, action record data can be created, and the action record data is displayed, for example, according to a user's instruction. FIG. 38 is a flowchart illustrating a process of downloading the behavior record data recorded in the center server 3 to the walking support device 1. First, the user inputs a desired date and time for displaying the action record data (V27), and transmits it to the center server 3 (V28). Upon receiving the data, the center server 3 searches the action record data stored in the memory, reads out the data at the designated date and time, and transmits the data to the walking support device 1.
[0113]
Upon receiving the data (V29), the walking support device 1 displays the action record data on the display unit. At this time, information on calorie consumption is also included.
Therefore, the user can know the past record, can be used as a material for setting a new walking course, can know the information of calorie consumption, for example, can be used for health management, and can also be used for diet planning .
[0114]
【The invention's effect】
As described above, according to the present invention, it is possible to perform walking support based on health management information registered in advance for each user, the walking state of the user measured by the walking support device, and the health management information. it can.
[0115]
That is, based on the health management information registered in advance, walking support and jogging support taking into account changes in the walking environment of the user are performed, and support information can be created and used for health management.
In addition, since the walking support is performed for each user and the support information is also generated for each user, it is possible to perform walking support, which was conventionally impossible, for each user. Therefore, it is possible to provide information required by the user, which meets the user's request, and to perform walking support.
[0116]
Furthermore, using the support information created by the center server, the support information can be displayed on the display unit of the walking support device to perform walking support and health management for the user.
[Brief description of the drawings]
FIG. 1 is a system configuration diagram of the present invention.
FIG. 2 is an external configuration diagram of the walking support device.
FIG. 3 is an internal configuration of the walking support device.
FIG. 4 is a schematic diagram of a center server.
FIG. 5 is a flowchart when registering personal information and health management information in the walking support device.
FIG. 6 is a diagram illustrating a database of personal information.
FIG. 7 is a database of health management information.
FIG. 8 is a flowchart illustrating an operation pattern registration process.
FIG. 9 is a flowchart illustrating a process of determining an operation state.
10A is a diagram illustrating a signal waveform in the X-axis direction supplied from the acceleration sensor, and FIG. 10B is a diagram illustrating a signal waveform in the Y-axis direction supplied from the acceleration sensor; FIG. 3C is a diagram illustrating a signal waveform in the Z-axis direction supplied from the acceleration sensor.
FIG. 11 is a flowchart illustrating an operation pattern registration process.
FIG. 12 is a diagram showing an operation pattern registration screen.
FIG. 13 is an example of a table for storing operation pattern information.
FIG. 14 is a flowchart for calculating a walking speed.
FIG. 15 is a diagram showing walking pattern information.
16A is a diagram illustrating a configuration of a wristwatch provided with a temperature sensor, a pulse meter, and a sphygmomanometer, and FIG. 16B is a diagram illustrating an internal circuit configuration.
FIG. 17 is a flowchart illustrating a course registration process.
FIG. 18A is an example of a walking course setting screen, and FIG. 18B is an example of walking support information.
FIG. 19 is a flowchart illustrating walking support.
FIG. 20 is a flowchart illustrating an operation state determination process.
FIG. 21 is a flowchart illustrating a current position detection process.
22A is a flowchart illustrating a processing operation of the walking support device, and FIG. 22B is a flowchart illustrating a processing operation of the support device.
23A is a diagram illustrating a state of the walking support device when passing a support point, and FIG. 23B is a diagram illustrating a display state of an operation / display unit of the walking support device.
FIG. 24 is a flowchart illustrating a process of health management measurement.
FIG. 25 is a diagram illustrating a display state of the walking support device.
FIG. 26A is an example of a setting screen of another walking course, and FIG. 26B is an example of other walking support information.
FIG. 27 is a diagram illustrating a personal information database constructed on the center server side.
FIG. 28 is a diagram illustrating a database of health management information constructed on the center server side.
FIG. 29 is a flowchart illustrating registration processing of personal information and the like.
FIG. 30 is a flowchart illustrating walking support.
FIG. 31 is a flowchart illustrating processing on the center server side.
FIG. 32 is a flowchart illustrating a health management measurement process.
FIG. 33 is a diagram showing an example of support information A.
FIG. 34 is a diagram showing an example of support information B.
FIG. 35 is a flowchart illustrating processing on the center server side.
FIG. 36 is a diagram showing an example of action record data.
FIG. 37 is a diagram showing an example of support information D.
FIG. 38 is a flowchart illustrating download processing of action record data.
[Explanation of symbols]
1, 1a, 1b walking support device
2, 2a, 2b, 2c Support machine
3 center server
4 Mobile / PHS center
5 Operation / display section
6 Light emitting unit
7 Speaker
10 CPU
11 ROM
12 EEPROM
13 RAM
14 Input section
15 Display
16 External storage unit
17 acceleration sensor
18 Direction sensor
19 GPS
20 Atmospheric pressure sensor
21 Communication control unit
22 Notification section
30 watches
31 LCD display
32 CPU
33 RAM
34 ROM
35 Temperature sensor
36 pulse meter
37 Sphygmomanometer
38 Input section
40 Communication control unit
41 Timing section

Claims (7)

Registration means for registering the user's health management information in advance in association with personal information;
A receiving unit that receives a walking state of the user extracted by the terminal device, and a measurement result of the health management information of the user,
A support information creating unit that compares the measurement result of the user's health management information received by the receiving unit with the pre-registered health management information, and creates support information according to the comparison result;
Transmitting means for transmitting the support information to the walking support device, and informing the user of the support information;
A center server comprising: The comparison is performed by extracting terrain information of a moving range of a user in which a walking user moves within a predetermined time, calculating health management information after a predetermined time based on the extracted terrain information, 2. The center server according to claim 1, wherein support information is created. Position information of a support position for the walking course set based on the map information, and support information obtaining means for obtaining the support information from the center server;
A registration unit for registering health management information in accordance with the entered personal information;
Comparing means for measuring the health management information of the user and comparing the health management information registered in correspondence with the personal information;
Notifying means for notifying the user's health information from the comparison result in the comparing means;
A walking support device comprising: 4. The walking support device according to claim 3, wherein the health management information is added to the measurement result, and when the addition result exceeds the health management information registered in association with the personal information, a notification is performed. 4. The apparatus according to claim 1, further comprising an acceleration sensor, storing a walking pattern of the user based on a detection output of the acceleration sensor, and further storing a walking speed corresponding to the walking pattern. Walking support device. A program used for a computer mounted on a center server connected to the walking support device via a network,
A function to register the user's health management information in advance corresponding to personal information,
A function of receiving a walking state of the user extracted by the walking support device, and a measurement result of the health management information of the user,
A function of comparing the received measurement result of the user's health management information with the pre-registered health management information, and creating support information according to the comparison result;
A function of transmitting the support information to the walking support device and informing the user of the support information;
Walking support program that causes the computer to realize the above. A program used in a computer equipped with a walking assistance device connected to a server via a network,
A function of acquiring position information of a support position for a walking course set based on map information and support information from a center server,
A function to register health management information in accordance with the personal information entered,
A function of detecting the support position when walking on the walking course;
A function of reading the support information at the support position and notifying the user of the information;
A function of measuring the user's health management information at the support position, and comparing the health management information with the registered health management information corresponding to the personal information,
A function of notifying the user's health information from the comparison result,
Walking support program that causes the computer to realize the above.

Images