JP5692710B2 - Running analysis support device and program - Google Patents

Description

  The present invention relates to a running method analysis support apparatus and program, and more specifically to a technique suitable for analyzing a running method when traveling a short distance on a straight line.

  Patent Document 1 discloses a technique for managing and utilizing running data during training for track and field athletes by an information processing device and analyzing it scientifically. What is disclosed in this Patent Document 1 is a handy GPS receiver that records the running position / time data in an internal recording unit, and the recorded position / time data is input after the running is finished, and the analysis result is displayed in a graph or a table. It consists of two devices, a personal computer for processing and displaying. The handy GPS receiver is a runner portable device for calculating current position / current time data at fixed time intervals based on information transmitted from a plurality of GPS communication satellites and recording it in a recording unit inside the handy GPS receiver. . The runner travels with the GPS receiver carried. As a result, the position / time of the running runner is recorded in the recording unit inside the handy GPS receiver, and the recorded data is input to the personal computer after the running is completed.

  The personal computer inputs the position / time data recorded in the recording unit inside the handy GPS receiver by connecting the handy GPS receiver with a dedicated line after the end of travel, and the ratio, distance and speed with the past data. The relationship is analyzed and processed so that it can be displayed as a graph and a table.

JP 2001-188805 A

  The invention disclosed in Patent Document 1 manages the running state of a long-distance runner such as a marathon, or manages a movement trajectory or the like in a competition such as running in a ground such as soccer. Although suitable, it is insufficient for analysis of athletes who travel the short distances targeted by the present invention. That is, in short-distance running, etc., since a single running time is as short as 10 to 20 seconds and the moving distance is as short as several tens to 100 m, the signal from the GPS communication satellite Therefore, the accuracy required for analysis and the time interval of measurement data cannot be obtained. Furthermore, since the runner carries out the measurement while carrying the handy GPS receiver, the receiver is in the way, and measurement based on the actual competition state cannot be performed.

  As another method, a method using a laser can be considered. For example, in the reflection type laser system, a laser transmitter / receiver is provided, a laser is emitted toward a short-distance runner, and a reflected wave from the short-distance runner is received, thereby reducing the distance from the transceiver to the short-distance runner. By repeatedly performing the measurement, the traveling speed can be measured from the change in the distance to the sprinter with the passage of time. However, such a method has a problem that the detection distance depends on the color of the clothing of the sprinter. Furthermore, since lasers have a strong directivity, it is necessary to adjust the standard severely. For example, to obtain a reflected wave by irradiating a short-distance runner 100m away, severe angle control is required. If even a slight fluctuation occurs, the reflected wave may not be obtained and measurement may be impossible. . Furthermore, since lasers are large and expensive in the first place, they cannot be used easily.

  Therefore, there is a problem that it is desired to develop a compact training aid that is suitable for analysis at the time of running for track athletes and the like having a short running distance, easy to handle, and compact.

  In order to solve the above problems, the present invention provides (1) a microwave Doppler sensor, speed calculation means for calculating a speed by frequency analysis of a Doppler signal output from the microwave Doppler sensor, and the speed calculation. Storage means for recording the speed repeatedly calculated by the means, and a speed distribution is obtained based on a history of speeds recorded in the recording means. The storage means may be an internal memory that temporarily stores data such as a buffer memory in the CPU, an internal nonvolatile memory, or a removable external memory such as the memory card of the embodiment. The recording may be performed for each run, or a plurality of runs may be continuously recorded, and an analysis may be performed such as obtaining a speed distribution for a plurality of runs later. . Analysis including calculation of velocity distribution may be performed by this apparatus, or may be performed by a separately prepared personal computer or the like.

  The directivity of the microwave Doppler sensor has a certain degree of straightness but allows a certain width. Therefore, even if the microwave Doppler sensor is directed to the runner relatively roughly so as to follow the running direction to some extent, the runner can be reliably detected. This eliminates the need for severe (strict) direction adjustment. For example, when fixing the device to a tripod or the like, it is only necessary to install the device along the traveling direction. It can be easily measured. In addition, it is good to provide the fixing mechanism which fixes to a tripod in this apparatus, and also to provide the grip part which can be measured in the state hold | gripped with the hand. And the speed history (speed distribution) during the run of the runner can be obtained by calculating the repetition speed and recording it in the storage device. The speed distribution during the run of the runner can be obtained from numerical data, graphs, etc., and the run state of the runner can be confirmed objectively and an accurate plan can be made for the subsequent practice. The directivity of the microwave Doppler sensor should be set as narrow as possible.

  (2) It is preferable to include a speed distribution calculating means for obtaining the speed distribution and an output means for outputting the speed distribution obtained by the speed distribution calculating means.

  (3) The output means may display the obtained velocity distribution in a graph showing the relationship between time and velocity and / or the relationship between distance and velocity. You can intuitively understand the state of speed over the elapsed time from the start of driving or the distance (position) that you have traveled, and whether the acceleration to reach the maximum speed is good or how the speed changes during driving (stable It is preferable because it can be easily understood scientifically and objectively.

  (4) The speed distribution may be a result of obtaining a speed 4 to 20 times per second (10 times is sufficient). If it is four times, the information necessary for the analysis of the running speed of the runner can be secured, which is preferable in terms of reducing the memory capacity in the storage means. If it is less than this, sufficient results may not be obtained. And if it is recorded about 10 times, sufficient results can be obtained. For example, considering drawing with a graph as in the invention of (3), even if the measured speed is simply plotted with dots, it is preferable because it looks like a line. If more than 20 times, more detailed information (speed change, etc.) can be collected, but the degree of improvement of the effect obtained as the amount of data increases decreases, and memory capacity is wasted (cost-effective) Is reduced).

  (5) The speed distribution is for the run of the runner, and the Doppler sensor may be installed behind the run start point of the runner by a reference distance (several meters: for example, 5 m). By installing it at the rear, the signal level is greatest at the start of travel and is easy to detect. If the reference distance is too long, the signal level of the Doppler signal becomes small from the beginning and is difficult to detect. Therefore, the reference distance is preferably about 5 m. On the other hand, it is better to be close for detection, but if it is too close, the runner may be concerned about the device.

  (6) The microwave Doppler sensor may be installed at a height within a range corresponding to the height of the runner's back. The height within the range may be, for example, 50 cm or more and 150 cm or less, but is not limited thereto. In the measurement in the region where the microwave Doppler sensor and the runner are close to each other, if it is lower than this, the signal fluttering around the leg increases, and if it is higher than this, it is easy to pass overhead. Therefore, this range is preferable because the back can be aimed.

  (7) The microwave Doppler sensor is placed behind the traveling start position of the runner to be measured, and the speed calculated based on the Doppler signal after the signal level of the Doppler signal exceeds a reference value is calculated. It may be recorded in the storage means. For example, if the microwave Doppler sensor is installed behind the measurement object to start traveling, the signal level of the Doppler signal based on the measurement object is high. At this time, it is unlikely that another person passes between the measurement object and the sensor. Further, the signal level of the Doppler signal from a person traveling around is low. Thus, when a signal exceeding a certain reference value is received, it is determined that the person to be measured has started running (the start timing can be found). Discard the data acquired before that.

  (8) Based on the invention of (7) above, a starter signal (acquisition of sound, interlocked with trigger) is acquired, and the acquired starter signal and before and after the timing when the reference value is exceeded. It is preferable to provide start determination means for comparison. The start determination includes determination of the presence / absence of flying, and determination of how well the vehicle can start traveling (degree of deviation) when not flying.

  (9) Start detection means for detecting the start of travel is provided, and the latest speed is reached after a reference time (several seconds (for example, 2 seconds) has elapsed since the start detection means detects the start of travel). It is preferable to determine whether to record the calculated speed in the storage means based on the difference between the calculated speed and the average value. For example, the start of traveling can be made when the reference value is exceeded as in the invention of (7). The determination of whether or not the speed is close to the average value may be made by directly comparing the speeds or by indirectly comparing the speed spectrum before calculating the speed as shown in the embodiment. In the case of the same person, except for the initial acceleration period, the speed change is not so large, so that the person can be locked and the influence of signals from other people running around can be suppressed.

  (10) Start detection means for detecting the start of travel is provided, and after the start detection means detects the start of travel, an average value of the latest speeds is calculated after a change in speed per unit time is below a reference value. It is preferable to determine whether to record the calculated speed in the storage means based on the difference between the calculated speed and the average value. The acceleration time varies from person to person. Even if the reference time is manually changed and set in the invention of (9), there is a case where the speed is already stabilized before the reference time elapses depending on the running method at that time, and there is a case where the acceleration time is elapsed even if the reference time elapses. The set reference time and speed may not match the timing when the speed stabilizes. Changing the setting is complicated and there is a possibility that sufficient measurement and analysis cannot be performed due to a setting error. Therefore, it is only necessary to monitor the change in speed and lock it when it is stabilized within a certain range.

  (11) The speed based on the signal level change exceeding the reference value after detecting the start of running should be prevented from being recorded. Since the distance between the runner as the measurement object and the microwave Doppler sensor gradually changes, the signal level also changes gradually. If the signal level changes significantly, it can be estimated that the signal from another person has been detected. Therefore, by not using the signal for analysis, it is possible to reliably detect the signal of the measurement object. it can.

  (12) It is preferable that the speed calculated by the speed calculation means is based on a signal that is equal to or lower than a first reference speed (for example, 5 km / h) corresponding to the walking speed, and is not easily recorded. Thereby, the influence of the signal from the person who walks is suppressed. However, it is difficult to record and is not cut (deleted) to zero. This is because the actual running speed of the runner rises from 0 at the start of running, so if the first reference speed or less is cut, the signal of the important measurement object cannot be detected. Thereby, the person who is running can be extracted more certainly.

  (13) It is preferable that the speed obtained by the speed calculating means is less likely to be recorded based on a signal that is equal to or lower than a second reference speed (for example, 10 km / h) corresponding to medium / long distance running. The speed in non-short-distance running such as long-distance (marathon), middle-distance running, jogging in up, etc. is slower than that in short-distance running. Therefore, the influence of the signal from the person who is running instead of the short-distance running is suppressed.

  (14) When the speed calculated by the speed calculation means has been below the reference speed value for a set time or longer, recording in the storage means may be terminated. If it does not continue above a certain speed, it is considered that the ride has been completed, and it can be determined that the data after that is unnecessary. At this time, a secondary end condition such as the longest time may be determined. This is in order to keep picking up signals from other people and preventing them from ending.

  (15) Recording to the storage means may be terminated after the set time has elapsed. The setting time is, for example, 10 seconds (considering 50m), 15 seconds (considering 100m), 20 seconds (considering 100m hurdles or 100m of children (small, middle, high school, etc.)) and can be changed. Good. The start of the set time may be performed from the start of analysis by detecting the start when there is a function of detecting the start of traveling.

  (16) When the cumulative travel distance obtained by integrating the speed over time exceeds a set distance, the recording in the storage means may be terminated. If the cumulative travel distance greatly exceeds the planned travel distance, it can be considered that the travel that you want to measure has already been completed, so by not recording unnecessary data, unnecessary consumption of memory capacity is unnecessary. Insufficient analysis based on data can be suppressed.

  (17) A function for extracting at least one of the maximum speed, maximum speed arrival time, maximum speed arrival distance, maximum speed holding time, and maximum speed holding distance may be provided. In practice, the maximum speed holding time is preferably a period during which the speed within a certain range is maintained with respect to the maximum speed. In the graph display, although the tendency at the time of driving can be understood, the specific value is difficult to understand. Therefore, it is easy to understand by extracting the feature amount data at the time of running and displaying the numerical value as text instead of the graph display or together with the graph display. Moreover, it becomes easy to compare the state at the time of several times of running by digitizing.

  (18) Comparing means for comparing the velocity distribution with model data may be provided. The model data is data such as a speed distribution of a person who serves as a model with the top runner. Since the data of the top runner is in, for example, a textbook, it may be used, or the data of a person who serves as a model for the top runner may be actually measured and acquired. The comparison result can take various forms, such as overlapping graphs, or text display of numerical deviations in the feature amount data such as the maximum speed reach distance and holding time.

  (19) It is preferable to provide a function of outputting the accumulated travel distance obtained by integrating the speed over time. For example, the output can display a graph of the cumulative distance with respect to time. This graph display can be performed independently or can be output together with the velocity distribution.

  (20) A wireless display may be provided as output means for outputting the velocity distribution. In this way, for example, by running the wireless display with the runner carried, the running result can be confirmed at hand immediately after running without returning to the installation position of the main body equipped with the microwave Doppler sensor or the like. In addition, coaches and leaders away from the main body equipped with microwave Doppler sensors etc. have a wireless indicator, so that leaders away from the main body need the necessary information such as speed distribution in real time. Can be confirmed and considered. When a leader or the like has, for example, by installing a plurality of the present apparatuses, the states of a plurality of runners can be managed collectively.

  (21) A program of the present invention is a program for causing a computer to realize the functions of the running method analysis support apparatus described in (1) to (20).

  In the present invention, since the speed of the runner is obtained using the microwave Doppler sensor, the aim can be relatively rough, easy to handle, and a compact training aid. And since the speed distribution at the time of driving | running | working of a runner can be obtained from numerical data, a graph, etc., a runner and a leader need to be able to objectively understand the run state of a runner.

1 shows a preferred embodiment of a running analysis support apparatus according to the present invention. It is a figure which shows an example of a practice field. It is a flowchart which shows the function of a calculating part. It is a figure which shows a measurement result (before correction | amendment). It is a figure which shows a measurement result. It is a figure which shows the example of a display of a display part. It is a figure which shows an example of a band filter.

  Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings. FIG. 1 shows a preferred embodiment of the present invention. The running way analysis support apparatus 10 includes a microwave Doppler sensor 11, an amplifier 12 that amplifies a Doppler signal output from the microwave Doppler sensor 11, and an arithmetic unit 13 that executes arithmetic processing based on the output of the amplifier 12. And a display unit 14 for outputting a calculation result by the calculation unit 13 and a storage device 15. Each of these components may be stored in the same case, or may be divided into a plurality of cases and stored. When divided into a plurality of cases, communication can be performed by wire or wireless. In addition, the display unit 14 may be configured as a portable display device using radio so that it can be confirmed at a remote place. Moreover, when providing this portable display, the display part 14 may be provided also in the main body side, and it may be made to confirm in both the main body side and the distant place. Furthermore, in addition to the display part 14, you may provide an audio | voice output means as an output means.

  When the microwave Doppler sensor 11 emits a microwave toward an object moving from the transmitter, receives the reflected microwave, and compares the frequency with the transmitted wave, the microwave Doppler sensor 11 is proportional to the moving speed of the object. Thus, the sensor utilizes a phenomenon (Doppler effect) in which the frequency of the received wave shifts, and outputs a signal (Doppler signal) having a shifted frequency (Doppler frequency). Accordingly, the moving speed of the reflected object can be obtained based on the Doppler signal. Therefore, the microwave Doppler sensor 11 is installed behind the runner to be a speed measurement object so that the transceiver (antenna) of the sensor faces the runner.

  Furthermore, the running style analysis support device 10 of the present embodiment is suitable for acquiring information during running of a runner who is performing linear motion based on the output of the microwave Doppler sensor 11. That is, the direction of the microwave Doppler sensor 11 is set to be parallel to the traveling direction for a runner running straight. As a result, the runner approaches and separates from the front of the microwave Doppler sensor 11 and can accurately determine the traveling speed.

  For example, as shown in FIG. 2, an athletic field practice field is divided into a track 1 that is an orbital track, an infield 2 that is an area inside the track 1, and an outfield 3 that is an area outside the track 1. It is done. The track 1 comprises two parallel straight running paths 1a and 1a 'and two curved running paths 1b connecting them. The in-field 2 is provided with a predetermined runway 4 for performing competitions such as jumping and throwing. In FIG. 2, since it is the runway 4 for high jumping, the shape is a rectangle. In addition to the runway, the long jump and triple jump competition area 5 that requires a sandbox is often provided in the outfield 3. Further, since the track 1 is used for middle and long distance practice, a short-distance straight running path 6 is provided in parallel with a predetermined position of the outfield 3, for example, outside of one straight running path 1a of the track 1. There is also. In addition, on this straight track 6, you can practice 100m, which is a short distance run, or practice hurdles. A start line SL and a finish line FL are drawn so as to cross the straight running path 6, and the runner can practice for a predetermined distance (here, 100 m) by running between the lines. Of course, the start line is drawn at a position 110m away from the finish line FL, such as a 110m hurdle, and the start line is drawn at other distances (eg 50m). Use the start line that matches the distance you want to drive.

  And as above-mentioned, in order to perform the analysis with respect to the person who is running straight, the driving | running | working way analysis assistance apparatus 10 of this embodiment drive | works the straight runway 6 or the runway 4 for the long jump, for example. The person to be analyzed becomes the analysis target. Therefore, when analyzing a runner traveling on the straight road 6, the microwave Doppler sensor 11 is placed at a predetermined position in front of the start line SL that is the travel start point of the line on which the runner travels (backward in the travel direction). Install. The predetermined position is 5 m before the start line SL. Furthermore, the direction of the antenna of the microwave Doppler sensor 11 is adjusted so that the microwave emitted from the microwave Doppler sensor 11 is parallel to the straight path 6.

  That is, practice of other competitions is also performed during data collection, and it is not realistic to stop practice of other competitions for the practice of short distance players. Therefore, it is necessary to eliminate the influence of reflected waves from other people present around as much as possible. And when the microwave Doppler sensor 11 (running way analysis support device 10) is installed at a position 5 m before the start line SL as in this embodiment, it can be understood that other people are measuring. It is difficult to think of passing between the microwave Doppler sensor 11 and the runner on the start line SL. Therefore, the reflected wave from the runner to be measured in the start line SL is at the strongest level. As a result, even if a Doppler signal based on a reflected wave from a person existing on an adjacent traveling road or the like is detected, a difference occurs in the signal strength of each Doppler signal. That is, since the signal intensity of the Doppler signal from the runner to be measured is the highest, the Doppler signal from the runner to be measured can be discriminated and extracted.

  Further, in the present invention, if the runner is moving straight, the traveling speed can be obtained even if the traveling direction is away from the microwave Doppler sensor 11 or approaching in the opposite direction. . However, the signal level of the Doppler signal increases as the measurement object is closer. Therefore, as in the example of use illustrated in the present embodiment, the Doppler signal obtained with one run when the vehicle is on the front side of the start line SL is the largest at the start of the run, so the measurement target is This is preferable because the Doppler signal from the runner can be reliably recognized.

  At least the microwave Doppler sensor 11 is installed at a height of 50 cm or more and 150 cm or less. Within this height range, it is possible to reliably irradiate the runner's back with microwaves even in the measurement immediately after the start of running (several meters). In order to set such a height, it is preferable that the height-adjustable holding device such as a tripod is provided on the bottom surface of the housing of the microwave Doppler sensor 11 (or the main body of the device when the entire device is integrated). By attaching a connecting portion for attachment to a tripod and connecting the connecting portion to a tripod or the like, it can be fixed at a desired height. In addition, the tripod can be adjusted in height and can hold the set height, so that it can be easily adjusted and installed in accordance with the height of the runner.

  The calculation unit 13 includes a microcomputer including a CPU, ROM, RAM, nonvolatile memory, I / O, and the like. The storage device 15 stores the calculation result, and may be an internal storage device that cannot be attached or detached, or a slot portion (including a read / write function) for attaching a removable recording medium such as an SD memory card. .

  The functions in the running analysis support device 10 of the present embodiment are realized by being stored on the EEPROM of the calculation unit 13 as a program executed by the computer included in the calculation unit 13 and executed by the computer included in the calculation unit 13. The The main functions realized by the computer by the program included in the calculation unit 13 are a speed calculation function for calculating a running speed of a runner that is a measurement object by frequency analysis of a Doppler signal, and a running speed obtained by the speed calculation function. An analysis function for performing various analyzes based on the above is provided. The speed calculation function calculates the traveling speed at all times (every reference time: about 4 to 20 times per second, preferably around 10 times) when the power is turned on. Note that the continuous travel speed may be calculated when the power is turned on, but the continuous travel speed may be calculated when the pressing of the start switch of the operation switch is detected after the power is turned on. It may be possible to set which operation is performed. Then, the analysis function obtains a speed distribution based on a speed recording function for recording in the storage device 15 the one that matches the conditions among the travel speeds obtained by the speed calculation function, and the travel speed stored in the storage device 15. A speed distribution calculation function, a cumulative travel distance calculation function for obtaining a cumulative travel distance from the start of travel by integrating speed, and the like are provided. The speed distribution obtained by the speed distribution calculation function includes a traveling speed associated with the passage of time and a traveling speed associated with the traveling distance. Details of each function will be described later.

  Although not shown, an operation switch is provided on the surface of the case body. Further, a touch panel may be arranged on the display screen of the display unit 14. Although not shown, it is preferable to provide a USB terminal, a communication interface for performing wireless communication, a remote control communication device, or the like as an interface for connecting to an external device.

  The calculation unit 13 built in the main body calculates the traveling speed in a fixed cycle and records it only in the storage device 15, and sends the recorded information to an analysis device such as a personal computer for detailed analysis. May be. When sending to an analysis device such as a personal computer, data may be transferred by directly connecting the main body and the analysis device using a USB terminal or the like, or a removable storage medium such as an SD memory card is used as the storage device 15. In such a case, the data may be sent by taking out the storage medium and attaching it to the analysis device.

  Moreover, the analysis in the running method analysis support apparatus 10 of this embodiment has a single mode and a continuous mode. The single-shot mode is a mode in which the measurement is finished for each run and the result is displayed. The continuous mode is a mode for recording a plurality of runs continuously. In the case of this continuous mode, data for a plurality of travels are recorded continuously and later analyzed in a batch, and the data continues to be collected continuously, but it is determined that one travel is completed in parallel with it. In such a case, there is a case where an analysis of the one run is performed. Further, when analyzing collectively at a later time, actual calculation processing and display may be performed by another device.

In the continuous mode, an identification code is displayed on the display unit 14 for each run. The identification code is, for example, a number assigned consecutively for each run (for example, the number that is the identification code is incremented by 1 in processing step S1 and displayed on the display unit 14).
Information identifying the identification code displayed in association with the measurement result of one run is stored in association with the information. (For example, this number is stored in the storage device 15 in association with the velocity distribution data in S7.) When a graph is displayed using this data (the display unit 14 of this machine or the screen of the PC, etc.), an identification code is used. Is also displayed.

  In continuous mode, the data of the speed distribution of multiple times is recorded, so it is difficult to know which running data the graph currently displayed is, but this makes it easy to understand the correspondence between the two I can grasp it. In particular, in the case of serial numbers, it is possible to easily grasp which graph belongs to which person only if the order is memorized when continuously measuring the traveling of another person.

  FIG. 3 shows a measurement algorithm in the running way analysis support apparatus 10. Actually, the calculation unit 13 has a function of executing the flowchart shown in FIG. First, since the microwave Doppler sensor 11 operates and always outputs a Doppler signal when the power of the apparatus is turned on, the calculation unit 13 uses the Doppler signal amplified by the amplifier 12 as a predetermined short-time reference time interval. (S1).

  The calculation unit 13 performs spectrum analysis using FFT that should analyze the frequency component of the captured Doppler signal (S2). In this embodiment, spectrum analysis using FFT is performed. However, the present invention is not limited to this, and various spectrum analysis methods can be employed. For example, DCT or wavelet transform may be used. Further, instead of spectrum analysis, a frequency count method that directly measures the period of the Doppler signal may be used.

  Since the microwave Doppler sensor 11 has a certain range in the detection range due to the directivity of the antenna, it does not require severe aiming, can be measured even if the runner's course is slightly deviated, and the type of clothing (shape, material, There is an advantage that stable measurement can be performed regardless of color. On the other hand, a reflected wave from an object (person) existing around the straight road 6 may be received due to the spread of the detection range. Therefore, the Doppler signal captured in the processing step S1 includes a target signal from the runner to be measured and a non-target signal from other persons. Therefore, the calculation unit 13 separates the target signal / non-target signal. In this separation, for example, the runner on the start line SL is in front of the microwave Doppler sensor 11 (5 m ahead), and the signal level of the target signal is high. Further, it is unlikely that another person passes between the runner and the microwave Doppler sensor 11 in a state where the runner to be measured is preparing to start on the start line. Also, a Doppler signal (non-purpose signal) based on a person passing (running / walking) in the area around the straight road 6 (outfield 3, one straight road 1a of the track 1, the front of the straight road 6, etc.) The signal level of is low. Therefore, an appropriate reference value is set to discriminate between the signal level of the Doppler signal from the runner on the start line (immediately after the start) and the signal level of other non-target signals, and whether or not the reference value is exceeded. To separate the target / non-target signals.

  In addition, the runner traveling on the straight path 6 gradually moves away from the microwave Doppler sensor 11. Therefore, if the target signal, the signal level gradually decreases. Therefore, when the signal level received this time is large compared with the signal level of the target signal received last time, it can be determined that the signal is a non-target signal. For example, when a runner receives a signal from a runner of medium or long distance traveling on one straight path 1a of the track 1 near the microwave Doppler sensor 11 when the runner reaches near the finish line of the straight path 6, The signal level of the signal from the middle / long distance runner is higher than the signal level of the target signal. Note that a certain margin may be taken when it is determined that the signal level is high in consideration of errors and the like. Even when the signal level is small, if the change is large, it can be estimated as a Doppler signal from another person at a distant place, so that it is separated as a non-target signal. As the signal level of the target signal to be compared, data for the previous time may be used, or an average value of the signal levels for a plurality of times may be used.

  In addition, if there is a certain speed difference between the runner (subject) to be measured and the other person (non-subject), the spectrum obtained by performing the spectrum analysis using FFT is recognized individually. it can. There is no rapid speed change except immediately after the start of running (start) and immediately after the goal. Therefore, once the target signal (spectrum) of the runner to be measured can be specified, the other spectrum can be excluded as a non-target signal by following the target signal.

  Next, the calculating part 13 calculates | requires speed based on the frequency of the isolate | separated target signal (S4). A known technique can be used for speed calculation based on the frequency component of the Doppler signal. The function of executing the processing step for obtaining the speed in S4 is a speed calculation function. Further, a function for executing the processing steps S2 and S3 may be included in the speed calculation function. In addition, a spectrum obtained by performing spectrum analysis using FFT may have a plurality of frequencies. This occurs when there is a Doppler signal accompanying a reflected wave from a person (non-subject) other than the runner (subject) to be measured, and the speed of the subject is different from the speed of the non-subject. In this case, it suffices if the non-target signal can be eliminated in the above-described processing step S3. However, when the spectrum of a plurality of frequencies remains without being eliminated, the speed calculation process is performed for each frequency and the same. The speeds with different times may be calculated and recorded, or the speed may be calculated based on one frequency that matches the selection condition such as the one with a large level, and the speed stored may be one. Anyway.

  And the calculating part 13 records the calculated | required speed | velocity | rate in the memory | storage device 15 so that a time series can be understood (S5). Moreover, although this speed is recorded, all the speeds obtained after the power is turned on may be recorded from the beginning, but it has a function to detect the start of the runner to be measured, and after detecting the start It may be recorded. That is, when the runner is standing in front of the start line SL or holding in a posture such as crouching start, a runner may receive a Doppler signal from a person moving around the runner. When the runner to be measured is running and receiving a Doppler signal from that runner, there are cases where the non-target signal can be separated by comparison with it, but not all can be separated and eliminated. In some cases, the speed can be obtained without being separated. Therefore, the information before the start of traveling is discarded without being recorded, so that the correct analysis is performed and the consumption of useless memory is suppressed.

  The start condition for starting this recording can be that the signal level of the Doppler signal exceeds the reference value. That is, the person who is about to start running is in front of the Doppler sensor, and the signal level based on the measurement object is high. At this time, it is unlikely that another person passes between the measurement object and the sensor. Further, the signal level of the Doppler signal from a person traveling around is low. Therefore, when a signal exceeding a certain reference value is received, it is determined that the person to be measured has started running, and only subsequent data is recorded in the storage device 15.

  For example, the speed data from 6 seconds to 11 seconds shown in the countermeasure (1) in FIG. 4 is, for example, from a middle / long-distance runner traveling on one straight path 1a of the track 1. Is. On the other hand, in FIG. 4, the speed data after 11 seconds has passed is the runner to be measured. That is, the speed is 0 from 0 second to 6 seconds. This period is a state in which there is no runner to be measured, a state where the posture for starting is held and a stop, and there is no person who moves around. In such a state, for example, when a medium / long-distance runner traveling on one straight path 1a of the track 1 close to the straight path 6 for short-distance running enters the detection range of the microwave Doppler sensor 11. From the beginning, the output of the microwave Doppler sensor 11 is a signal corresponding to the running speed of such a long-distance runner. Therefore, data traveling at a sudden speed (10 to 12 km / h) in the period of 6 to 11 seconds in FIG. 4 is detected.

  Although not shown in the figure, the signal that is the basis of the speed of the section (1) that requires countermeasures, that is, the section of the section (1) obtained by performing spectrum analysis by FFT in processing step S2 and separating each frequency component. The signal level of the signal having the frequency corresponding to the speed and the signal level of the signal having the frequency corresponding to the speed after 11 seconds obtained by the spectrum analysis in the same manner are the signal levels that are the basis of the speed after 11 seconds. Is bigger. In this example, the signal level that becomes the speed of the section of the countermeasure (1) that needs to be taken before 11 seconds does not exceed the reference value, and the signal level that becomes the speed after 11 seconds is the reference value. Therefore, the data before 11 seconds is cut (not recorded). Thereby, the data based on the speed data recorded in the storage device 15 is as shown in FIG. 5, and unnecessary data can be excluded.

  The above process is repeated until the speed measurement (recording) termination condition is satisfied (Yes in S5). The end condition is a condition in which, for example, in the single-shot mode in which the measurement is ended for each run and the result is displayed, the runner can be regarded as having finished. In the continuous mode in which a plurality of runs are continuously recorded and analyzed later, for example, a preset time elapses or the power is turned off.

  The single mode end condition can be, for example, every elapse of a set time from the power-on. For example, it is difficult to match the start of driving with the power ON, and there is a possibility that the data immediately after the start may not be acquired correctly. Therefore, a certain preparation time is required until the actual start after the power is turned ON. There is a premise. Therefore, it is preferable to set a time in which an actual travel time (within 20 seconds or the like) is added to the time lag. However, in that case, if the time from when the power is turned on until when the vehicle actually starts running exceeds the estimated preparation time, the measurement (speed recording) will be completed before reaching the finish line. There is a risk. Therefore, it is preferable to set a sufficiently long time (for example, 1 minute).

  Further, in the case where a function for detecting the start of the run of the runner is provided, the end condition can be a case where a predetermined set time has elapsed since the start of the run. The set time can be, for example, 10 seconds (considering 50m), 15 seconds (considering 100m), 20 seconds (considering 100m hurdle, 100m child). This setting time may be changed by a setting switch provided on the main body, a touch panel provided overlapping the display unit 14, a remote control operation, or the like.

  Moreover, it is good also considering the case where the state where the speed calculated | required by process step S4 was less than reference | standard speed value continued more than setting time (several seconds) as an end condition. That is, the sprinter reduces the speed when passing the finish line FL. Therefore, it can be determined that the process is finished when the state below the reference speed value continues. Further, instead of simply comparing the absolute values as in the reference speed value, the end condition may be a case where the change in speed decrease is equal to or greater than a certain value. Further, when the vehicle passes the finish line, the signal level is small because it is away from the microwave Doppler sensor 11, and the Doppler signal from the person moving (running) near or at the finish line is measured. Judging from the Doppler signal from the camera, it may continue to be picked up. Accordingly, the longest time may be determined, and the recording may be terminated when the longest time is exceeded. By appropriately setting such various termination conditions, it is possible to suppress picking up Doppler signals from other people in the vicinity after the goal such as the countermeasure (3) shown in FIG. 5).

  Also, the cumulative travel distance can be obtained by integrating the speed. Therefore, the case where the cumulative travel distance exceeds the predetermined distance can be set as the end condition. In this case, for example, when practicing for a short distance (100 m), if the end condition of the cumulative travel distance is set to 100 m, the end condition may be satisfied before passing the finish line due to an error or other factors. is there. On the other hand, if it is set to a long distance such as 150 m, the stop condition will not be satisfied if the driving is stopped without driving so far, so that the recording cannot be ended. Therefore, since the vehicle does not stop immediately after passing the finish line, it is possible to set the end condition when the cumulative travel distance becomes about 110 m or 120 m.

  Further, these end conditions may be set independently, or a plurality of conditions may be used in combination. For example, when the stop condition is that the speed is lower than the reference speed value, combining the end condition based on the accumulated travel distance and the end condition based on time can prevent the signal from other people from being picked up and not end. . Further, when the cumulative travel distance is set as a stop condition, by combining the end time requirement with time, it is possible to end even if the stop is immediately after the finish line has elapsed.

  In the single shot mode, recording until the above end condition is satisfied, the storage device 15 records a speed history for each reference time from when the runner to be measured starts to run.

  The calculation unit 13 creates output data such as a speed distribution from the speed history stored in the storage device 15 (S7), and outputs the result to the display unit 14 (S8). The process of creating output data such as velocity distribution can be performed as follows.

  The basic algorithm (speed distribution calculation function) calls a time-series speed history stored in the storage device 15 and creates a graph showing a time-speed relationship. In this embodiment, as shown in FIGS. 4 and 5, a graph is created in which the horizontal axis is the elapsed time and the vertical axis is the speed. Each speed is measured at a preset reference time. Therefore, for example, when the speed is calculated 10 times per second, the difference between the speed at a certain time and the speed measured next is 1/10 second. Since each speed is recorded in association with the time series, the recorded speed is read out in time series, and the read speed is plotted at the corresponding position on the graph where the horizontal axis is time and the vertical axis is speed. Perform the process. By sampling about 10 times per second, it is possible to create a graph connected by lines as shown in FIGS. That is, in this embodiment, the process which draws the line segment which connects each plotted point is not performed. This reduces the processing algorithm load and enables high-speed processing. 4 and 5 show experimental results when the vehicle travels about 150 m in order to measure the measurable distance of the apparatus. The drawing of the graph output to the display unit 14 is not limited to plotting the corresponding points as in the present embodiment, and is displayed as a straight line or a curve (for example, a complementary line) passing through the points. May be. Further, points may be further drawn on this straight line or curve. Furthermore, instead of plotting points at corresponding positions, a bar graph may be used. In other words, a bar may be drawn from each point toward the horizontal axis, that is, a line with a velocity of 0 (y = 0).

  Furthermore, the running method analysis support apparatus 10 of the present embodiment is brought to an athletic field or other practice field, where the speed measurement and the analysis result based on it are simply output, and is generally compact, The area of the display unit 14 is not so large. And since the display part 14 shall turn on / off each point of a dot matrix and draw a character and a figure, as mentioned above, by turning ON the applicable location of each speed as one dot, Since the graph is drawn, the algorithm for plotting the corresponding position is suitable for it.

  Therefore, as is apparent from FIG. 5, the vehicle accelerates immediately after the start of travel, has an acceleration period of several seconds, the maximum speed (top speed) is how many kilometers per hour, and the time required to reach the maximum speed (maximum (Speed arrival time), how long the maximum speed is maintained (maximum speed retention time), and how the variation in speed changes is understood at a glance. FIG. 6A shows an example of a graph display on the display unit 14 of a small display screen. In the illustrated graph display, the corresponding points are plotted, but when drawn like a bar graph as described above, the entire portion surrounded by the lower line and the upper point in FIG. 6A becomes black. . In this way, the shape becomes clearer.

  On the other hand, if the screen is small, a rough tendency can be seen from the shape of the graph, but it is difficult to understand specific numerical values immediately. Therefore, the calculation unit 13 has a function of obtaining feature amount data such as the maximum speed, maximum speed arrival time, maximum speed holding time, and the like, and displaying the data (see FIG. 6B).

  Note that the maximum speed cannot be strictly maintained during traveling, and there is a certain amount of speed increase / decrease. Therefore, once the maximum speed is extracted, the calculation unit 13 maintains the maximum speed within a certain range. And the time of the section is determined as the maximum speed holding time. The fixed range for specifying the maximum speed holding time may be a fixed value such as “maximum speed −2 km / h” or a relative value up to n% of the maximum speed. Moreover, it is preferable that the values that determine the certain range can be changed by setting.

  In addition to the graph display shown in FIG. 6A, the text display shown in FIG. In this case, when displaying the graph, each point in FIG. 6B may be drawn with a point, an icon, a mark, or the like having a different aspect from the other points.

  Furthermore, when displaying a graph, the section between the maximum speed holding times may be drawn in a manner different from other sections. As a different mode, for example, the drawing color can be made different. In this way, it can be seen at a glance which section can maintain a speed within a certain range from the maximum speed. In particular, as described above, when the section holding the maximum speed is within the range of a certain speed difference with respect to the maximum speed, especially when the display screen is small, the section within the certain range becomes difficult to understand. In some cases, such a problem does not occur when rendering is performed in a different manner.

  Further, the cumulative travel distance can be obtained by integrating the speed. Accordingly, the calculation unit 13 (cumulative travel distance calculation function) has a function of obtaining the cumulative travel distance from the speed, creating a graph of the relationship of the cumulative travel distance with time, and displaying the graph. As shown in FIG. 5 and the like, this graph may be drawn together with the graph of the time-speed relationship, or may be drawn as a single graph. By calculating the cumulative travel distance, it is possible to understand at a glance which position the vehicle has traveled after.

  In the present embodiment, there is provided a function of creating a graph with the cumulative travel distance on the horizontal axis and the speed on the vertical axis. By outputting such a graph, it is possible to know how many seconds later the position of how many meters has been reached. In addition, from such a graph of cumulative travel distance-speed, obtain feature data such as the distance to reach the maximum speed (maximum speed reach distance) and the distance at which the maximum speed is maintained (maximum speed retention distance). It is preferable to provide a function for displaying text as shown in FIG. Moreover, when displaying a graph, it is preferable that the scale of the vertical axis and / or the horizontal axis can be changed. In particular, the distance scale may be selected from at least any two of 50 m, 100 m, 110 m, and 200 m. The speed scale may be selected from at least any two of 10 km / h, 20 km / h, and 40 km / h. In particular, in a portable device, the main body cannot be made very large, and the display screen becomes small accordingly. Therefore, it is preferable to set an appropriate scale because the graph can be drawn on the entire screen, so that it is easy to see.

  Further, there is no sudden speed change except immediately after the start of running and immediately after the goal, but when actually measured, a speed causing a sudden change is detected as illustrated in the countermeasure (2) required in FIG. This is because a Doppler signal from a person other than the runner to be measured is received and a speed based on the Doppler signal is calculated. In order to suppress these influences, after the reference time (several seconds (for example, 2 seconds)) in consideration of the acceleration period from the start of running, the average value of the latest speed is obtained, and there is a certain difference from the average value. The speed should not be plotted. Even if there are some points where the speed is not plotted, there is no problem because the graph is originally represented by a set of discrete plots. In addition, for a portion that is not plotted, complementary data may be calculated from the front and rear speeds (average speed of front and rear n points), and the supplemented speed may be plotted. In this way, even if a plurality of speeds are obtained based on a plurality of different frequency spectra obtained at the same time, an appropriate one remains. In addition, when the speed is obtained from the frequency of one spectrum selected from a plurality of frequency spectrums, if the selected spectrum is incorrect, the speed is not plotted, and the selected spectrum is that of the target signal. The speed is plotted. In any case, only the speed of the runner to be measured is extracted and graphed.

  In addition, as a correction process using the fact that this speed change is small, a spectrum obtained by spectrum analysis using FFT, as shown below, is not selected for the speed calculated as described above. However, correction processing may be performed. That is, after the reference time (several seconds (for example, 2 seconds)) in consideration of the acceleration period from the start of traveling, the average value of the latest speed is obtained, and the closer to the frequency spectrum corresponding to the speed of the average value, the larger An emphasis filter that multiplies the gain is set, and when a plurality of frequency spectrums are made of material, processing that leaves a high level is performed. Such processing can be performed by separation processing of a target / non-target signal. An example of specific calculation processing is as follows.

Calculate the average value VAVE of the latest speed measurement values (for example, 0.8 seconds), and for the spectrum at that time,
K (i) = 1
(However, f (i) <fAVE (i) -a, f (i)> fAVE (i) + a)
K (i) = 1 + {− | f (i) −fAVE (i) | + a} [0]
(However, fAVE (i) −a ≦ f (i) ≦ fAVE (i) + a)

Multiply
Here, f (i) = index of spectrum corresponding to all frequencies,
fAVE (i) = index of spectrum corresponding to VAVE.

  Thereby, it has the function of a filter for emphasizing the band as shown in FIG. 7, and the band follows the signal as needed. Therefore, the spectrum based on the Doppler signal from the runner to be measured becomes a large value by multiplying by a large gain, is selected as a target signal, and other signals are excluded as non-target signals. Therefore, since the speed is obtained based on the frequency of the target signal, as shown in FIG. 5, there is no large speed fluctuation as shown in the countermeasure (2) in FIG. 4, and the speed change of the runner to be measured can be reduced. Can be reproduced correctly.

  It should be noted that the reference time for obtaining the average speed may be changed. Due to differences between children and adults, differences in competition level, etc., the acceleration period immediately after the start of running until the running speed stabilizes differs. If the reference time can be changed by an operation switch provided on the main body, a remote controller or the like, the target signal can be reliably kept (the non-target signal is separated).

  In addition, it is not a fixed value from the start of driving to the elapse of the reference time, but the above average is triggered by the transition to the stable driving period, such as the change in speed per unit time is below the reference value. Processing based on speed is good. In other words, since the acceleration time varies depending on the person, even if the reference time is set manually, if the speed is already stable before the reference time elapses depending on how you run, the acceleration will continue even if the reference time elapses. The speed may not be stable during the period. Therefore, there is a possibility that sufficient measurement and analysis cannot be performed if the setting is not performed correctly. Therefore, by actually monitoring the change in the speed and locking the target signal when it is stabilized within a certain range, it is possible to continue to capture it reliably.

  Moreover, the calculating part 13 is good to be equipped with the function to attenuate a signal level, when the speed calculated | required from a frequency has high possibility that it is not the speed of the runner of a measuring object. For example, in the case of walking, even if you walk fast, the speed is about 6 km / h. For example, the first reference speed is set to 5 km / h, and the signal below the first reference speed is not the running speed of the runner to be measured. Attenuate the signal level. For example, when a spectrum of a plurality of frequencies (speeds) is detected at the same time, the signal level of the signal equal to or lower than the first reference speed is attenuated and becomes smaller. In other words, even if there is a person walking in an area relatively close to the machine, the signal level based on the reflected wave from that person will be relatively high as it is, but by performing the above attenuation processing, Get smaller. Therefore, if there is a rule that preferentially selects a signal with a high signal level when signals of a plurality of frequencies exist, the signal from the pedestrian is reduced by attenuating the signal level of the reflected wave from the pedestrian. It becomes difficult to be selected. Therefore, the influence of the signal from the person who is walking can be suppressed. However, it is attenuation and does not cut to zero. Since the running speed increases from 0 km / h at the start of running, if the first reference speed or less is cut, the signal of the important measurement object cannot be detected. Therefore, for example, when only the signal from the runner to be measured is detected, the signal can be picked up even if the signal level is small.

  Moreover, although the speed corresponding to medium / long-distance running is faster than the first reference speed, it is slower than short-distance running (for example, 12 km / h or more). Accordingly, a second reference speed (for example, 10 km / h) is set to discriminate between short-distance running and medium / long-distance running, and the signal below the second reference speed is the same as in the case of the first reference speed or less. It is good to have a function to attenuate. If such a function is provided, it is possible to suppress the influence of a signal from a person who is practicing medium / long distance running. In addition, either one or both of the control based on the first reference speed and the control based on the second reference speed may be employed. When both are employed, the amount of attenuation is preferably smaller when the speed is equal to or lower than the second reference speed.

  In addition, the processing based on the first reference speed and the second reference speed is not limited to the processing for obtaining a specific speed, and the speed is changed as in the target signal / non-target signal separation processing. A determination may be made on the corresponding frequency spectrum, and the corresponding one may be reduced.

  Furthermore, as an auxiliary function, model data for running a short distance run is recorded in the storage device 15 or the like, and data obtained with the run of the runner to be measured (a graph showing a speed distribution, a maximum speed arrival time, etc.) Etc.) and a comparison function for comparing the model data. The output of the comparison result of this comparison function is to draw the speed distribution of the model data and the speed distribution graph actually obtained by overlapping, or to display the numerical value of the feature data such as the maximum speed reach distance and holding time. The deviation can be displayed as text. The model data may be created from textbooks or the like, or may be created from measurement data at that time by having a model player actually run.

  The measurement object of the present embodiment is a person, for example, a runner who travels a short straight distance, such as a short-distance runner in track and field, a runner of 110 m hurdles, and a long jump player. The short distance is 100 m in a general competition, but even a shorter distance such as 50 m can be measured without changing the setting. In the case of short-distance running, the speed change during running, the maximum speed, the time to reach the maximum speed, the time for maintaining the maximum speed, etc. are obtained. In the case of 110m hurdles, in the same way as in the case of 100m, in addition to basic data such as speed changes during driving, speed change between hurdles, speed immediately before the hurdle (whether the hurdle is jumping without slowing down), etc. Can be analyzed. Although the microwave Doppler sensor has directivity but has a wider allowable range compared to a laser, the microwave sensor 11 can continue to supplement the runner's vertical movement enough to jump over the hurdle. Furthermore, in the case of a long jump competitor, it is possible to analyze whether it can be brought to the top speed just before the crossing. In each competition, there are ideal running patterns, etc., so if the actual running pattern of athletes is as ideal, and if it is far from ideal, what should be corrected? Whether it is good can be examined scientifically and objectively.

  Furthermore, in this embodiment, since the start of the run of the runner to be measured can be detected, as another auxiliary function, a starter signal (acquisition of sound, interlocked with trigger) is acquired, and the acquired starter It is preferable to provide a start determination function of whether or not the vehicle has started flying and whether or not the vehicle has started flying when the vehicle starts flying.

  Furthermore, in each of the above-described embodiments and modifications, the control unit may be provided with a real-time clock (clock) or a GPS receiver, and the time and position at which the speed is measured may be recorded in association with the speed data. In this way, it is easy to know when and where the measurement was made. Moreover, it is good also as a structure further provided with functions, such as a speed gun which measures the speed of a ball | bowl etc., sharing the hardware of said each embodiment and modification.

DESCRIPTION OF SYMBOLS 10 Running analysis support apparatus 11 Microwave Doppler sensor 12 Amplifier 13 Calculation part 14 Display part 15 Memory | storage device

Claims (18)

A microwave Doppler sensor that emits microwaves toward the runner to be measured;
A portable display carried by the runner to be measured;
Speed calculating means for calculating the speed of the runner to be measured based on a Doppler signal output from the microwave Doppler sensor;
A display function for displaying, on the display unit of the portable display, the running result of the runner to be measured obtained based on the speed calculated by the speed calculating means;
With
When the cumulative travel distance obtained based on the speed reaches a set distance, the speed calculation by the speed calculation means is stopped and the travel result is displayed.
A running analysis support device characterized by.   The display function is a function of displaying the speed distribution obtained based on the speed calculated by the speed calculating means in a graph on the display unit, and the maximum speed arrival time of the run of the measurement target runner for which the speed distribution is obtained, The running method analysis support apparatus according to claim 1, further comprising a feature amount display function for displaying at least one of a maximum speed holding time on the display unit.   The running amount analysis support apparatus according to claim 2, wherein the feature amount display function displays the maximum speed arrival time and the maximum speed holding time as text.   4. The running method analysis support apparatus according to claim 3, wherein the text display and the graph display are simultaneously output.   5. The running method analysis support apparatus according to claim 2, wherein the feature amount display function draws the feature amount display so as to be understood in the graph of the graph display.   6. The running method analysis support apparatus according to claim 5, wherein the drawing is performed so that the corresponding portion of the graph is drawn with a different display color. The maximum speed holding time is a period of time during which the speed is maintained within the range set for the maximum speed after extracting the maximum speed,
The running method analysis support apparatus according to any one of claims 2 to 6, further comprising a function of changing the set range.   The running method analysis support apparatus according to any one of claims 2 to 7, further comprising a comparison information display function for displaying comparison information between the speed distribution and model data on the display unit.   The comparison information display function displays the graph of the speed distribution and the graph of the model data, and displays at least one feature amount of a maximum speed arrival time, a maximum speed arrival distance, a maximum speed holding time, and a maximum speed holding distance. The driving | running | working analysis support apparatus of Claim 8 which displays the shift | offset | difference of the numerical value about.   The running method analysis support apparatus according to any one of claims 2 to 9, further comprising a function of displaying a graph of a cumulative distance with respect to time.   The running analysis analysis support apparatus according to any one of claims 2 to 10, wherein in the speed distribution graph, one axis is elapsed time and the other axis is speed. The display section draws by turning each point of the dot matrix ON / OFF,
The running method according to any one of claims 2 to 11, wherein the speed distribution graph draws the speed of the runner to be measured with respect to the elapsed time by ON / OFF of dots without complementing with a line. Analysis support device.   Drawing with the dot ON / OFF is a drawing that turns ON a point corresponding to the speed of the runner to be measured, and a bar graph with ON from the speed zero position to the speed of the runner to be measured. The running analysis support apparatus according to claim 12, wherein the running style analysis support apparatus is at least one of the drawn drawings. With a suppression function to suppress the influence of Doppler signals from people other than the runner to be measured,
The running method analysis support apparatus according to any one of claims 2 to 13, wherein the speed distribution is obtained based on a result of suppression by the suppression function. The microwave Doppler sensor is placed behind the traveling start position of the measurement subject runner,
The driving method analysis support according to claim 14, wherein the suppression function is to obtain the speed distribution based on a Doppler signal after the signal level of the Doppler signal exceeds a reference value. apparatus.   The driving method analysis support according to any one of claims 1 to 15, wherein a touch panel is arranged on the display screen of the display unit, and speed measurement by the speed calculation unit is started based on pressing of the touch panel. apparatus. The measurement ended every once traveling, the one-shot mode for displaying the results, and recorded continuously a plurality of traveling any of claims 1 to 16, characterized in that it comprises a continuous mode for displaying the results Driving analysis support device described in 1. A program for causing a computer to realize the function of the running method analysis support apparatus according to any one of claims 1 to 17 .

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