JP2020099415A - Pedometer and pedometer program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To accurately grasp the inclination of the body during walking by a small and inexpensive pedometer, and to easily grasp the deviation of the axis of the trunk caused by the distortion and non-uniformity of the skeleton, and rehabilitation and exercise. We provide pedometers and programs for pedometers that are useful for improving and improving functions. SOLUTION: In a pedometer 1 in which a 3-axis acceleration sensor 10 is attached to a user G to detect the posture of the user G, a personal data setting means 20, a high-band gravity acceleration detecting means 31H, and a low-band gravity acceleration are used. A user G includes a detection means 31L, a low-band left-right acceleration detection means 32, a low-band front-back acceleration detection means 33, a step count counting means 35, a left-right inclination detection means 36, and a front-back inclination detection means 37. The posture state data S9 is detected from the left-right inclination data S7 and the front-back inclination data S8. [Selection diagram] Fig. 1

Description

The present invention relates to a pedometer and a program for a pedometer, and more particularly to a pedometer and a program for a pedometer that facilitate detection and recording of a posture of a user while walking or in daily life.

Due to various factors such as aging and brain diseases, the number of people with disabilities who have difficulty in motor function and balance function is increasing. On the other hand, it is recommended that a moderate amount of exercise, especially walking, is used to recover the decreased motor function and decreased equilibrium function. There may be adverse effects. Therefore, it is extremely important to grasp the state of the walking posture, and a technique related to this is disclosed in Patent Document 1 below.

In Patent Document 1, a main body portion, an acceleration sensor for detecting an acceleration of the main body portion, a calculation unit for calculating an index value indicating a walking posture, an index value in the index indicating a walking posture, and a walking level. And the output means for outputting the walking posture level to which the index value calculated by the calculation means as the result of the walking posture determination, the stride length, the center of gravity balance, and the step interval. There is disclosed a walking posture determination device that displays a walking posture on a screen on a graph according to at least one of the indexes to enable improvement and correction of the posture.

JP, 2011-78534, A

In the conventional technique disclosed in Patent Document 1, since the walking posture is evaluated based on the stride, the balance of the center of gravity, and the step, there is a problem that the inclination of the body caused by the skeletal distortion or the nonuniformity cannot be grasped. ..

The present invention solves the above-mentioned problems of the prior art, the device is small and inexpensive, and is portable in daily life, and accurately detects the inclination of the body of the user during walking or daily life. An object of the present invention is to provide a pedometer and a pedometer program that can easily record.

The configuration of the present invention for solving the above-mentioned problems will be described in detail. The invention according to claim 1 is a pedometer for mounting a 3-axis acceleration sensor on a user and detecting the posture of the user, Based on an acceleration signal from the acceleration sensor, a high-band gravity acceleration detecting means for outputting a high-band component of the acceleration signal in the gravity direction of the user as a high-band gravity acceleration signal, and the acceleration signal from the triaxial acceleration sensor, A low-band gravity acceleration detecting means for outputting a low-band component of the acceleration signal in the gravity direction of the user as a low-band gravity acceleration signal, and a lateral acceleration signal of the user based on the acceleration signal from the triaxial acceleration sensor. Low-band lateral acceleration detection means for outputting the low-band component as a low-band lateral acceleration signal, and a low-band longitudinal acceleration signal for the low-band component of the longitudinal acceleration signal of the user based on the acceleration signal from the triaxial acceleration sensor. As a low-band longitudinal acceleration detection unit, a step count unit that outputs the step count data of the user based on the high-band gravity acceleration signal, the low-band gravity acceleration signal, and the low-band lateral acceleration signal Left and right inclination degree detecting means for calculating the left and right inclination degree data of the user, and front and rear inclination degree detecting means for calculating the front and rear inclination degree data of the user from the low band gravity acceleration signal and the low band longitudinal acceleration signal. It is a pedometer characterized by having.

Further, the invention according to claim 2 is provided with an attitude state detecting means for detecting the attitude state data of the user from the lateral inclination data and the longitudinal inclination data. It is a pedometer.

Further, in the invention according to claim 3, the posture state data is composed of an 8-bit digital signal, the left-right inclination data is composed of upper 4 bits of the 8-bit, and the front-rear inclination data is composed of the 8-bit. The pedometer according to claim 1 or 2, wherein the pedometer is configured by the lower 4 bits of.

Further, the invention according to claim 4 is a pedometer program for mounting a triaxial acceleration sensor on a user and detecting the posture of the user, wherein the user is based on an acceleration signal from the triaxial acceleration sensor. A high-band gravity acceleration detection step of outputting a high-band component of the acceleration signal in the gravity direction as a high-band gravity acceleration signal, and a low band of the acceleration signal in the gravity direction of the user based on the acceleration signal from the triaxial acceleration sensor. A low-band gravitational acceleration detection step of outputting a component as a low-band gravitational acceleration signal, and outputting a low-band component of a left-right acceleration signal of the user as a low-band lateral acceleration signal based on the acceleration signal from the triaxial acceleration sensor. A low-band lateral acceleration detection step, and a low-band longitudinal acceleration detection step of outputting a low-band component of a longitudinal acceleration signal of the user as a low-band longitudinal acceleration signal based on an acceleration signal from the triaxial acceleration sensor. A step counting step of outputting step number data of the user based on the high band gravity acceleration signal, and a left and right inclination for calculating left and right inclination data of the user from the low band gravity acceleration signal and the low band left and right acceleration signal Degree detection step, and a front-back inclination detection step of calculating front-back inclination data of the user from the low-band gravity acceleration signal and the low-band front-back acceleration signal. Is.

According to the present invention, it is possible to capture the inclination of the body during walking with a small and inexpensive pedometer, which makes it easy to grasp the blurring of the trunk axis caused by the distortion and nonuniformity of the skeleton, and the rehabilitation A pedometer and a pedometer program useful for improving and improving motor function are realized.

It is a block diagram showing the whole composition of the pedometer concerning the present invention. It is a top view which shows an example of the display part of the pedometer which concerns on this invention. It is an external view explaining the usage example of the pedometer according to the present invention. It is a schematic diagram for demonstrating the operation principle in the pedometer which concerns on this invention. 6 is a flowchart for explaining the operation of the pedometer according to the present invention.

Hereinafter, a specific configuration of the pedometer 1 according to the present invention will be described with reference to FIGS. 1 to 5.
According to the present invention, the left and right and front and rear inclinations of the posture of the user are detected in 15° units from the output data of the triaxial acceleration sensor 10 in the pedometer 1 provided for the user, and the inclination is classified into 13 stages and displayed. It was done like this. In the following description, "walking" includes "running" as much as jogging. Further, the embodiment described below shows an example of a pedometer and a pedometer program for embodying the technical idea of the present invention, and the present invention is not limited to the following embodiment. Absent. In particular, the relative arrangement of each component described in the embodiments and the like are not intended to limit the scope of the present invention thereto only unless specifically stated, but are merely illustrative examples. .. In addition, the size, positional relationship, and the like of each member illustrated in the drawings may be exaggerated for clarity of explanation. Further, the same portions and the same components are given the same reference numerals, and duplicated description will be omitted.

[Description of configuration: FIG. 1]
The configuration of the pedometer 1 according to the present invention will be described with reference to FIG. FIG. 1 is a block diagram showing the overall configuration of a pedometer 1 according to the present invention.

In FIG. 1, a pedometer 1 is mounted on a user, and a 3-axis acceleration sensor 10 that outputs acceleration signals in 3-axis directions perpendicular to each other generated by the body motion or posture of the user, and the height, weight, and age of the user. And personal data setting means 20 for outputting personal data S2 including sex and the like, and arithmetic means 30 for calculating data relating to the posture of the user from the acceleration signal output from the triaxial acceleration sensor 10 and the personal data S2. The display unit (notifying unit) 40, the storage unit 50, and the power source 60 are included. For the sake of explanation, in FIG. 1, an external information terminal 90 that transmits and receives data to and from the pedometer 1 and an electromagnetic field W for communication are shown by broken lines.

The triaxial acceleration sensor 10 is configured by a MEMS (Micro Electro Mechanical Systems) technology, detects an acceleration signal applied in the gravitational direction of a user in an upright posture as a y-axis acceleration signal S1y, and an acceleration signal applied in a walking direction is a z-axis acceleration. It is attached to the pedometer 1 so as to detect as a signal S1z and to detect an acceleration signal applied in the left-right direction perpendicular to the walking direction as an x-axis acceleration signal S1x.

In the following description, the y-axis acceleration signal S1y has the gravity direction on the plus side, the z-axis acceleration signal S1z has the traveling direction on the plus side, and the x-axis acceleration signal S1x has the left-hand direction on the plus side.

The personal data setting means 20 is composed of a contact switch, and presets personal data S2 including the height, weight, age, sex, etc. of the user of the pedometer 1 before starting use.

The arithmetic means 30 is composed of a microprocessor, controls the entire operation of the pedometer 1, and outputs the x-axis acceleration signal S1x, the y-axis acceleration signal S1y, and the z-axis acceleration signal S1z output from the triaxial acceleration sensor 10. Based on the above, various elements from the high band gravity acceleration detecting means 31H to the posture state detecting means 38 for analyzing the number of steps and posture of the user are provided in the form of software.

The storage unit 50 is a non-volatile memory such as a flash memory and stores various data relating to the number of steps and posture and date information. The communication unit 70 transmits/receives data to/from an external information terminal 90 by an electromagnetic field. The storage unit 50 and the communication unit 70 may be incorporated in the calculation unit 30.

The high-band gravitational acceleration detection means 31H receives the y-axis acceleration signal S1y output from the 3-axis acceleration sensor 10 and performs a moving average process to obtain a signal having a spectrum of about 0.5 Hz or more included in the y-axis acceleration signal S1y. It is output as a high-band gravity acceleration signal S3H.

The low-band gravitational acceleration detection means 31L receives the y-axis acceleration signal S1y output from the triaxial acceleration sensor 10 and performs moving average processing to obtain a signal having a spectrum of approximately 0.005 Hz or less included in the y-axis acceleration signal S1y. The low-band gravity acceleration signal S3L is output.

The low-band lateral acceleration detection means 32 inputs the x-axis acceleration signal S1x output from the triaxial acceleration sensor 10 and performs moving average processing to obtain a signal having a spectrum of approximately 0.005 Hz or less included in the x-axis acceleration signal S1x. The low-band lateral acceleration signal S4 is output.

The low-band longitudinal acceleration detection means 33 inputs the z-axis acceleration signal S1z output from the triaxial acceleration sensor 10 and performs a moving average process to obtain a signal having a spectrum of approximately 0.005 Hz or less included in the z-axis acceleration signal S1z. The low-band longitudinal acceleration signal S5 is output.

The step counting means 35 inputs the high-band gravity acceleration signal S3H, determines that the user has walked when its amplitude exceeds a predetermined threshold value, integrates the number of times the threshold value is exceeded, and outputs it as step number data S6.

The left-right inclination detection means 36 inputs the low-band gravity acceleration signal S3L output by the low-band gravity acceleration detection means 31L and the low-band left-right acceleration signal S4 output by the low-band left-right acceleration detection means 32. The tilt in the left-right direction is calculated, rounded in units of 15°, and output as the left-right tilt degree data S7.

More specifically, the left/right inclination detecting means 36 calculates the left/right inclination data S7 based on the formula S7=Round(Ktan ⁻¹ (S4/S3L)/15) to calculate the inclination of the user in the left/right direction. Rounded in 15° units, such as 15°, 30°, 45°,..., 90°, and outputs 13 levels of values including an angle of 0°, plus direction and minus direction as left/right inclination data S7. To do. The rounding unit may be other than 15°. In the above formula, "Round" is an operator that rounds off the result of the calculation formula.

The 13-step value output by the left-right inclination detecting means 36 is composed of a 4-bit digital signal. That is, since a 4-bit digital signal can represent 15 kinds of values, the left-right inclination data S7 is 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, A, B, C. It consists of 13 levels, 0, 1, 2, 3, 4, 5 is the inclination in increments of 15°, 6 is the angle of 0°, 7, 8, 9, A, B, C, It is so constructed that each inclination of 15° in the minus direction is expressed.

The longitudinal gradient detecting means 37 inputs the low-band gravity acceleration signal S3L output by the low-band gravity acceleration detecting means 31L and the low-band longitudinal acceleration signal S5 output by the low-band longitudinal acceleration detecting means 33, and inputs the front-back inclination of the user. The inclination in the direction is calculated, rounded in units of 15°, and output as front-rear inclination data S8. The front-back inclination data S8 is composed of values in 13 levels of 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, A, B, and C. However, it is calculated based on the following equation, S8=Round(Ktan ⁻¹ (S5/S3L)/15).
The other description of the front-rear inclination data S8 is the same as that of the left-right inclination detecting means 36, and will be omitted.

The posture state detecting means 38 inputs the left-right inclination degree data S7 output by the left-right inclination degree detecting means 36 and the front-rear inclination degree data S8 output by the front-rear inclination degree detecting means 37 to determine the three-dimensional posture of the user. The indicated posture state data S9 is output. The posture state data S9 is a 1-byte digital signal that is stored in the storage means 50 and consists of 4 bits for both upper and lower bits. The horizontal inclination data S7 is stored in the upper 4 bits of the posture state data S9, and The inclination data S8 is not stored in the lower 4 bits of the posture state data S9, and the posture state data S9 which is a 1-byte digital signal expresses the posture state of the user.

The display unit (notification unit) 40 is composed of a liquid crystal display, and includes a step count display unit 40s, a posture state display unit 40p, a left/right inclination graph 42a, and a front/rear inclination graph 42b. As the battery 60, a button-type primary battery is used in the embodiment, but a secondary battery may be used. The communication unit 70 has a function of transmitting the result of calculation by the microprocessor (calculation unit) 30 to the external information terminal 90 together with the calendar information and receiving a control signal from the external information terminal 90.

[Description of structure: FIG. 2]
Next, the structure of the pedometer 1 according to the present invention will be described with reference to FIG. FIG. 2 is a plan view of the pedometer 1.

As shown in FIG. 2, the pedometer 1 is provided with an electric component board 83 and a button battery (not shown) inside a case 81 sized to rest on a palm, and has a display means (notifying means) 40 and a personal data setting means 20 on the front surface. It is equipped with and. The electric component board 83 is equipped with a triaxial acceleration sensor 10, a microprocessor (calculation means) 30, a storage means 50 using a flash memory, and a communication means 70, which are not shown in the drawing.

The case 81 has an antenna (not shown) for communicating with the information terminal 90.

The display unit (notifying unit) 40 is composed of a liquid crystal display element, and includes a step count display unit 40s and an attitude state display unit 40p. The step count display section 40s displays the step count data S6 output from the step count counting means 35, and the posture state display section 40p displays the lateral inclination data S7 having a value of 0 to C indicating the lateral inclination of the user and the user. The posture state data S9 having a two-digit value composed of the front-back inclination degree data S8 having a value of 0 to C indicating the front-back inclination of is displayed. In the example shown in FIG. 2, the left-right inclination data S7 is S7=5, the user inclines to the left hand side by 15° or less, and the front-rear inclination data S8 is S8=7. It shows that it is inclined by 15° or less.

The left/right inclination graph 42a and the front/rear inclination graph 42b are bar graphs in which the right direction and the upper direction are positive sides in the view of the drawing for intuitively grasping the left/right inclination and the front/rear inclination. The display point of the bar graph moves as the posture tilts. In the example shown in FIG. 2, since the display point of the left/right inclination graph 42a is moved one step from the center to the right, the left/right inclination data S7 is S7=5, and the display point of the front/rear inclination graph 42b is from the center. Since it has moved one step downward, the front-back inclination data S8 can be recognized as S8=7.

[Explanation of usage example: FIG. 3]
Next, a method of mounting the pedometer 1 according to the present invention on a user will be described with reference to FIG. 3A and 3B are external views showing a state in which the pedometer 1 is worn on the abdomen of the user G with the band B, and FIG. 3A is an external view seen from the front, FIG. 3B is an external view seen from the side.

As shown in FIGS. 3(a) and 3(b), the pedometer 1 is in a state in which the user G is standing upright, and the vertical direction is the Y axis, and the directions in which both arms are facing when the hands are extended left and right are X. The front-back direction orthogonal to the axis, the Y-axis, and the X-axis is detected as the Z-axis.

[Explanation of operation principle: FIG. 4]
The operation principle of the pedometer 1 according to the present invention will be described with reference to FIG. FIG. 4 is a schematic diagram showing the relationship between the inclination of the pedometer 1 worn by the user G and the acceleration signal output by the triaxial acceleration sensor 10.
4(a) and 4(c) show a state in which the user G stands still and upright, and FIG. 4(b) shows a state in which the user G is tilted in the right hand direction by θh degrees from the vertical line. FIG. 7D shows a state in which the user G is inclined forward by θf degrees from the vertical line.

As shown in FIG. 4A, when the user G stands still and stands upright, the x-axis acceleration signal S1x, the y-axis acceleration signal S1y, and the z-axis acceleration signal S1z output from the 3-axis acceleration sensor 10 of the pedometer 1. Can be represented as S1x=0, S1y=M, and S1z=0, respectively. Here, M is a numerical value in an arbitrary unit that represents a gravity acceleration value.

As shown in FIG. 4B, when the user G is tilted in the right-hand direction by θh°, the x-axis acceleration signal S1x, the y-axis acceleration signal S1y, and the z-axis acceleration signal output from the 3-axis acceleration sensor 10 of the pedometer 1 are output. The signals S1z can be represented as S1x=−Mx, S1y=My, and S1z=0, respectively.

More specifically, since the user G is tilted θh° in the right hand direction, a component force of gravity acceleration is generated in the x-axis acceleration signal S1x, and the x-axis acceleration signal S1x changes from 0 to −Mx. Mx is a component force of gravitational acceleration, and the user G has a minus sign because he is tilted to the right. The y-axis acceleration signal S1y changes from M to My. My is a gravitational acceleration reduced by the user G inclining by θh degrees.

The relationship between Mx, My, and θh will be described with reference to FIG. As shown in FIG. 4B, since Mx and My are component forces of the gravitational acceleration M orthogonal to each other, tan θh=Mx/My holds. From this relational expression, θh=Ktan ⁻¹ (Mx/My), and θh can be obtained from the output of the acceleration sensor 10 of the pedometer 1 when the user G tilts. Here, K is a constant for converting an angle in radians into a numerical value in “°”.

In the state shown in FIG. 4D, that is, when the user G is tilted in the front-back direction by θf°, the description is omitted because it is similar to the above.
The tilt angle θf in the front-rear direction can be calculated according to the formula of θf=Ktan ⁻¹ (Mz/My).

The above is a description of the acceleration signal output by the triaxial acceleration sensor 10 when the user stands still and upright, but basically the same as above when the user walks. More specifically, when the user G walks, a spike-shaped acceleration signal due to a walking motion is added to the x-axis acceleration signal S1x, the y-axis acceleration signal S1y, and the z-axis acceleration signal S1z. The output of is a time series signal in which a spike wave whose amplitude changes in an alternating manner is superimposed on a constant value due to gravitational acceleration.

The time-series signal output from the triaxial acceleration sensor 10 is applied to the low-band gravity acceleration detecting means 31L, the low-band lateral acceleration detecting means 32, and the low-band longitudinal acceleration detecting means 33 to obtain a signal having a low-band spectrum. By extracting, the acceleration components in the gravity direction, the left-right direction, and the front-back direction can be obtained.

Further, by calculating the ratio of the gravitational acceleration components in the left-right and front-rear directions and the acceleration signal in the gravitational direction, it is possible to calculate the inclinations of the triaxial acceleration sensor 10, the pedometer 1, and the user G.
The above is the principle of the present invention.

[Explanation of display example: FIG. 2]
Next, a display example of the pedometer 1 according to the present invention will be described with reference to FIG. As shown in FIG. 2, the step count display unit 40s of the notification means (display means) 40 displays the number of steps of the user. Since the personal data setting means 20 also has the operation function of the pedometer 1, the personal data setting means 20 can change the type of display such as the daily unit, the week unit, or the step count of a predetermined section.
Although not shown, the notification unit 40 uses the body data such as the weight, height, and age of the user input by the personal data setting unit 20 to display the metabolic energy consumed by the user G. It is also possible to provide.

Further, the attitude value display unit 40p displays the attitude state data S9 output from the attitude state detecting unit 38 on the liquid crystal display. For example, if the posture state data S9=66, the inclination is 0 on both the left and right sides and the front and rear sides, that is, the state is upright. , Indicates that it is tilted within 15 degrees toward the back.

Further, the posture state data S9 visually displays the left-right inclination data S7 and the front-rear inclination data S8 by the left-right inclination graph 42a and the front-rear inclination graph 42b.
More specifically, if the right/left inclination data S7 or the front/rear inclination data S8 is 6, the center of the left/right inclination graph 42a or the front/rear inclination graph 42b is turned on, and the value of the left/right inclination data S7 or the front/rear inclination data S8 is displayed. If changes, the display moves according to the change. Further, when the user G falls down on his or her stomach, the value of the front-rear inclination data S8 becomes 0, and when the user falls down on the back, the value of the front-rear inclination data S8 becomes C. Therefore, the front-rear inclination data S8 is transferred to the external information terminal 90. It is also possible to transmit and use the pedometer 1 according to the present invention as a rescue tool for the elderly and the like.

[Flow-Explanation of Chart: FIG. 5]
The operation of the pedometer 1 according to the present invention will be described with reference to FIG. FIG. 5 is a flow chart for explaining the operation of the microprocessor (calculation means) 30.

<S1 step>
The x-axis acceleration signal S1x, the y-axis acceleration signal S1y, and the z-axis acceleration signal S1z output from the triaxial acceleration sensor 10 are captured by the digital sampling method and stored in the storage unit 50.

<S2 step>
In parallel with digital sampling of the x-axis acceleration signal S1x, the y-axis acceleration signal S1y, and the z-axis acceleration signal S1z from the three-axis acceleration sensor 10, the x-axis acceleration signal S1x, the y-axis acceleration signal S1y, and the z-axis acceleration signal S1z are obtained. , A wide band signal and a low band signal are filtered using the moving average method. More specifically, a high-band gravity acceleration signal S3H and a low-band gravity acceleration signal S3L are extracted from the y-axis acceleration signal S1y, a low-band lateral acceleration signal S4 is extracted from the x-axis acceleration signal S1x, and a z-axis acceleration signal S1z is extracted. The low band longitudinal acceleration signal S5 is extracted.

<S3 step>
From the low-band gravity acceleration signal S3L and the low-band horizontal acceleration signal S4, the horizontal inclination data S7 is calculated via the horizontal inclination detecting means 36 and displayed on the horizontal inclination graph 42a of the notifying means (display means) 40.

<S4 step>
From the low-band gravitational acceleration signal S3L and the low-band longitudinal acceleration signal S5, the longitudinal gradient data S8 is calculated via the longitudinal gradient detecting means 37 and displayed on the longitudinal gradient graph 42b of the notifying means (display means) 40.

<S5 step>
The left-right inclination data S7 and the front-back inclination data S8 are rounded in increments of 15° in the plus direction and the minus direction, respectively, and an angle of 0 is added to divide into 13 stages. In addition, the horizontal inclination data S7 and the longitudinal inclination data S8 in the 13 stages are digitized and displayed on the posture value display section 40p, and the step count data S6 is calculated from the high band gravity acceleration signal S3H and displayed on the step count display section 40s. LCD display.

<S6 step>
The posture state data S9 is stored in the storage means 50 as follows. That is, the posture state data S9 is composed of 1 byte of 8 bits, the left and right inclination data S7 are stored in the upper 4 bits of the 8 bits, and the longitudinal inclination data S8 is stored in the upper 4 bits.
Based on the above operation flow, the posture of the user G is displayed numerically and visually. It is also possible to transmit the posture state data S9 to the external information terminal 90 by the communication means 70, and use the information terminal 90 to analyze and analyze the posture state of the user G in more detail.

As described above, according to the present invention, it is possible to capture the inclination of the body with a small and inexpensive pedometer, and it is easy to grasp the blurring of the axis of the trunk caused by the distortion and nonuniformity of the skeleton. , It is extremely useful for improving rehabilitation and motor function. In addition, since the posture of the user is decomposed at an angle of 15° in the case of the present embodiment, the accuracy in estimating the posture from the front, rear, left, and right tilt angles is significantly improved. Further, the posture state data S9 is composed of 1 byte and 8 bits and is extremely efficient in data processing and memory operation.

1: Pedometer 10: 3-axis acceleration sensor 20: Personal data setting means 30: Microprocessor (calculation means)
31H: High-band gravity acceleration detecting means 31L: Low-band gravity acceleration detecting means 32: Low-band lateral acceleration detecting means 33: Low-band longitudinal acceleration detecting means 35: Step counting means 36: Horizontal inclination detecting means 37: Anteroposterior inclination detecting Means 38: Posture state detection means 40: Notification means (display means)
40s: Step count display unit 40p: Posture value display unit 42a: Left/right inclination graph 42b: Front/rear inclination graph 50: Storage unit 70: Communication unit 81: Case 83: Electrical equipment board 90: Information terminal S1x: x-axis acceleration signal S1y: y-axis acceleration signal S1z: z-axis acceleration signal S2: personal data S3H: high-band gravity acceleration signal S3L: low-band gravity acceleration signal S4: low-band lateral acceleration signal S5: low-band longitudinal acceleration signal S6: step count data S9: posture state Data S7: Left-right inclination data S8: Front-rear inclination data θh: Left-right inclination angle θf: Front-rear inclination angle W: Electromagnetic field θh, θf: Inclination angle B: Belt G: User

Claims (4)

In a pedometer for mounting a three-axis acceleration sensor on a user and detecting the posture of the user,
High-band gravity acceleration detecting means for outputting a high-band component of the acceleration signal in the gravity direction of the user as a high-band gravity acceleration signal based on the acceleration signal from the triaxial acceleration sensor,
Low-band gravity acceleration detecting means for outputting a low-band component of the acceleration signal in the gravity direction of the user as a low-band gravity acceleration signal based on the acceleration signal from the triaxial acceleration sensor,
Low-band lateral acceleration detecting means for outputting a low-band component of the lateral acceleration signal of the user as a low-band lateral acceleration signal based on the acceleration signal from the triaxial acceleration sensor;
Low-band longitudinal acceleration detection means for outputting the low-band component of the longitudinal acceleration signal of the user as a low-band longitudinal acceleration signal based on the acceleration signal from the triaxial acceleration sensor,
A step counting means for outputting the step number data of the user based on the high-band gravity acceleration signal,
A lateral inclination degree detecting means for calculating the lateral inclination data of the user from the low-band gravity acceleration signal and the low-band lateral acceleration signal,
Front-back inclination detection means for calculating front-back inclination data of the user from the low-band gravity acceleration signal and the low-band longitudinal acceleration signal,
Pedometer characterized by having. The pedometer according to claim 1, further comprising a posture state detecting unit that detects posture state data of the user from the left-right inclination data and the front-back inclination data. The posture state data is composed of an 8-bit digital signal, the left-right inclination data is composed of the upper 4 bits of the 8-bit, and the front-back inclination data is composed of the lower 4 bits of the 8-bit. The pedometer according to claim 1 or 2. A pedometer program for mounting a three-axis acceleration sensor on a user and detecting the posture of the user,
A high-band gravity acceleration detecting step of outputting a high-band component of the acceleration signal in the gravity direction of the user as a high-band gravity acceleration signal based on the acceleration signal from the triaxial acceleration sensor;
A low-band gravity acceleration detecting step of outputting a low-band component of the acceleration signal in the gravity direction of the user as a low-band gravity acceleration signal based on an acceleration signal from the triaxial acceleration sensor;
A low-band lateral acceleration detection step of outputting a low-band component of the lateral acceleration signal of the user as a low-band lateral acceleration signal based on the acceleration signal from the triaxial acceleration sensor;
A low band longitudinal acceleration detecting step of outputting a low band component of the longitudinal acceleration signal of the user as a low band longitudinal acceleration signal based on the acceleration signal from the triaxial acceleration sensor;
A step counting step of outputting step data of the user based on the high band gravity acceleration signal,
A horizontal inclination detection step of calculating the horizontal inclination data of the user from the low-band gravity acceleration signal and the low-band horizontal acceleration signal,
A front-back inclination detection step of calculating front-back inclination data of the user from the low-band gravity acceleration signal and the low-band longitudinal acceleration signal;
A pedometer program characterized by having.