JP2012118724A - Electronic apparatus, pedometer, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To more precisely determine whether a user is walking or running.SOLUTION: An acceleration sensor 106 detects acceleration in a first direction to output a first signal. An acceleration sensor 107 detects acceleration in a second direction orthogonal to the first direction to output a second signal. An acceleration sensor 108 detects acceleration in a third direction orthogonal to a flat plane uniquely identified in the first direction and the second direction to output a third signal. A CPU 102 calculates the number of steps by using one or more signal among the first signal, the second signal, and the third signal. Also, the CPU 102 determines whether the user is walking or running on the basis of a moving average value of the first signal, a moving average value of the second signal, and moving average value of the third signal. The CPU 102 performs processing appropriate to walking when it determines that the user is walking and performs processing appropriate to running when determining that the user is running.

Description

  The present invention relates to an electronic device, a pedometer, and a program for measuring the number of steps during walking or running.

  2. Description of the Related Art Conventionally, there are pedometers that detect body movements by walking using a body movement sensor such as an acceleration sensor and count the detected body movements to detect the number of steps when the user travels or walks. There is also a device for calculating calorie consumption by walking or running based on the number of steps during walking or running and the stride input in advance. However, since the stride during walking and running is clearly different, it is necessary for the user to manually specify whether the user is walking or running in order to calculate calorie consumption.

  Further, in order to prevent erroneous counting of the number of steps, there is a pedometer that provides a time (mask time) in which the number of steps is not counted for a certain time after detecting one step. Since the pitch (walking pitch, running pitch) is different between running and walking, the optimal mask time is different. Specifically, since the pitch is slower during walking than during traveling, the optimal mask time during walking is longer than the optimal mask time during traveling. Therefore, in order to set the optimum mask time, it is necessary for the user to manually specify whether the user is walking or running.

  As a step count measuring apparatus that solves this problem, a step count measuring apparatus that changes the mask time according to the type of body movement is known (for example, see Patent Document 1). There are also known momentum measuring devices that can classify living body behavior into “sleeping”, “sitting”, “standing”, “walking”, and “running” and know the calories burned for each behavior (for example, , See Patent Document 2).

JP-A-8-77322 JP-A-8-131425

  In the step count measuring device of Patent Document 1, the type of body motion is determined according to the amount of body motion (the magnitude of acceleration amplitude of the acceleration sensor). However, it is difficult to accurately distinguish whether the vehicle is walking or running only from the magnitude of the acceleration amplitude of the acceleration sensor. In order to determine the amplitude, it is necessary not to miss the amplitude peak. Therefore, in order not to miss the amplitude peak, the step count measuring device must have a peak hold circuit, or the sampling period of acceleration measurement must be made finer, resulting in an increase in circuit scale or current consumption. There is a problem of end.

  Also, in the momentum measuring apparatus of Patent Document 2, the behavior patterns “walking” and “running” are classified according to the magnitude of the acceleration amplitude of the acceleration sensor. Therefore, as in the step counting device of Patent Document 1, it is difficult to accurately classify the behavior patterns “walking” and “running” only from the magnitude of the acceleration amplitude of the acceleration sensor. In order to determine the amplitude, it is necessary not to miss the amplitude peak. For this reason, in order not to miss the amplitude peak, the momentum measuring device must be provided with a peak hold circuit, or the sampling period of acceleration measurement must be made fine, resulting in an increase in circuit scale or an increase in current consumption. There is a problem of end.

  The present invention has been made in view of the above circumstances, and an object thereof is to provide an electronic device, a pedometer, and a program that can more accurately determine whether the vehicle is walking or running.

  The present invention detects a first acceleration sensor that detects an acceleration in a first direction and outputs a first signal corresponding to the acceleration, and detects an acceleration in a second direction orthogonal to the first direction. , Detecting a second acceleration sensor that outputs a second signal corresponding to the acceleration, and an acceleration in a third direction orthogonal to a plane uniquely identified by the first direction and the second direction. And one or a plurality of signals among the third acceleration sensor that outputs a third signal corresponding to the acceleration, the first signal, the second signal, and the third signal. Based on the number of steps calculation unit that calculates the number of steps by using the moving average value of the first signal, the moving average value of the second signal, and the moving average value of the third signal Walking / running determination unit for determining whether the vehicle is running or the vehicle is running A processing unit that performs a process suitable for walking when it is determined to be present, and a processing unit that performs a process suitable for travel when the walking / running determination unit determines that it is running. It is an electronic device.

  In the electronic device of the present invention, the process suitable for walking is a process of selecting a walking step and calculating a walking distance using the step and the number of steps calculated by the step calculation unit, The process suitable for traveling is a process for selecting a stride for travel and calculating a travel distance using the stride and the step count calculated by the step count calculation unit.

  In the electronic device of the present invention, the process suitable for walking is a process of calculating energy consumption using a formula for calculating energy consumption for walking, and the process suitable for traveling is a process for traveling. It is a process for calculating an energy consumption amount using a formula for calculating the energy consumption amount.

  Further, in the electronic device of the present invention, the step count calculation unit calculates a step count using a mask time, and the process suitable for walking uses the mask time used when the step count calculation unit calculates the step count. The process suitable for traveling is a process for changing the mask time used when the step calculation unit calculates the number of steps to a mask time for traveling. To do.

  The present invention also provides a first acceleration sensor that detects an acceleration in a first direction and outputs a first signal corresponding to the acceleration, and an acceleration in a second direction orthogonal to the first direction. A second acceleration sensor that detects and outputs a second signal corresponding to the acceleration; and an acceleration in a third direction orthogonal to a plane uniquely identified by the first direction and the second direction. And one or more of a third acceleration sensor that outputs a third signal corresponding to the acceleration, the first signal, the second signal, and the third signal Based on the number of steps calculation unit that calculates the number of steps using the signal, the moving average value of the first signal, the moving average value of the second signal, and the moving average value of the third signal, A walking / running determination unit that determines whether the vehicle is walking or running, and the walking / running determination unit includes A processing unit that performs processing suitable for walking when it is determined that the vehicle is running, and a processing unit that performs processing suitable for travel when the walking / running determination unit determines that the vehicle is traveling. It is a characteristic pedometer.

  According to the present invention, a first acceleration detecting step of detecting an acceleration in a first direction and outputting a first signal corresponding to the acceleration to a computer, and a second orthogonal to the first direction. A second acceleration detecting step for detecting an acceleration in a direction and outputting a second signal corresponding to the acceleration; and a second orthogonal to a plane uniquely identified by the first direction and the second direction. A third acceleration detecting step of detecting an acceleration in the direction of 3 and outputting a third signal corresponding to the acceleration; the first signal; the second signal; and the third signal. Among them, a step calculation step for calculating the number of steps using one or a plurality of signals, a moving average value of the first signal, a moving average value of the second signal, and a moving average of the third signal Based on the value, determine whether you are walking or running When the walking / running determination step and the walking / running determination step determine that the vehicle is walking, a process suitable for walking is performed. When the walking / running determination step determines that the vehicle is traveling, the vehicle is suitable for driving. And a processing step for performing processing.

  According to the present invention, the first acceleration sensor detects the acceleration in the first direction and outputs a first signal corresponding to the acceleration. The second acceleration sensor detects an acceleration in a second direction orthogonal to the first direction, and outputs a second signal corresponding to the acceleration. The third acceleration sensor detects an acceleration in a third direction orthogonal to a plane uniquely specified by the first direction and the second direction, and outputs a third signal corresponding to the acceleration. To do. The step count calculation unit calculates the step count using one or a plurality of signals among the first signal, the second signal, and the third signal. The walking / running determination unit is walking or running based on the moving average value of the first signal, the moving average value of the second signal, and the moving average value of the third signal. Determine whether. In addition, the processing unit performs processing suitable for walking when the walking / running determination unit determines that it is walking, and performs processing suitable for driving when the walking / running determination unit determines that it is running. Do.

  Thereby, in order to determine whether it is walking or running based on the moving average value of the first signal, the moving average value of the second signal, and the moving average value of the third signal, It is possible to determine whether the user is walking or running more accurately.

It is the external view which showed the external appearance of the pedometer in one Embodiment of this invention. It is the block diagram which showed the structure of the pedometer in this embodiment. In this embodiment, it is the schematic which showed the direction of the X-axis direction in the case where the pedometer is mounted | worn with the user, the Y-axis direction, and the Z-axis direction. In this embodiment, it is the graph which showed the magnitude | size of the moving average acceleration of a X, Y, Z-axis direction which a pedometer detects when a user is walking. In this embodiment, it is the graph which showed the magnitude | size of the moving average acceleration of a X, Y, Z-axis direction which a pedometer detects when a user is drive | working. It is the flowchart which showed the process sequence of the candidate detection process which the pedometer in this embodiment performs. It is the flowchart which showed the process sequence of the pedometer step count measurement process which the pedometer in this embodiment performs. It is the flowchart which showed the process sequence of the walking run determination process which the pedometer in this embodiment performs.

  Hereinafter, an embodiment of the present invention will be described with reference to the drawings. In this embodiment, an example of a pedometer will be described as an example of an electronic device. FIG. 1 is an external view showing the external appearance of the pedometer in the present embodiment. In the illustrated example, the pedometer 100 includes a display unit 105 on the top surface and an input unit 103 on the side surface. The display unit 105 includes a display surface, and displays the number of steps on the display surface. The input unit 103 receives input from the user of the pedometer 100. In the present embodiment, the same plane as the display surface of the display unit 105 included in the pedometer 100 is defined as the XY plane, and the direction perpendicular to the display surface of the display unit 105 is defined as the Z-axis direction. The pedometer 100 is an example of a wristwatch-type pedometer used by being worn on the user's arm.

  FIG. 2 is a block diagram showing the configuration of the pedometer 100 in the present embodiment. In the illustrated example, the pedometer 100 includes an oscillation unit 101, a CPU 102 (central processing unit, step count calculation unit, walking / running determination unit, processing unit), an input unit 103, a display control unit 104, and a display unit 105. , An acceleration sensor 106 (first acceleration sensor), an acceleration sensor 107 (second acceleration sensor), an acceleration sensor 108 (third acceleration sensor), an AD converter 109, and a storage unit 110.

  The oscillating unit 101 generates a clock signal that is a reference for timing and a reference clock signal for operation of the CPU 102. The CPU 102 performs a step count calculation process, a walking run determination process for determining whether the user is walking or running, control of each electronic circuit element constituting the pedometer, a timing operation, and the like. The input unit 103 receives an input for instructing the start or stop of the step count measurement from the user. In response to the control signal from the CPU 102, the display control unit 104 causes the display unit 105 to display the number of steps, the walking / traveling distance, the time, the energy consumption, and the like. The display unit 105 is configured by a liquid crystal display (LCD), and displays the number of steps, walking / traveling distance, time, energy consumption, and the like.

  The acceleration sensors 106 to 108 detect X, Y, and Z components of orthogonal coordinate axes that are orthogonal to each other, and output an acceleration signal having a magnitude corresponding to the acceleration of each component. In the present embodiment, the acceleration sensor 106 detects the acceleration X in the X-axis direction. The acceleration sensor 107 detects the acceleration Y in the Y-axis direction. The acceleration sensor 108 detects an acceleration Z in the Z-axis direction. The acceleration sensors 106 to 108 may be constituted by, for example, one MEMS (Micro Electro Mechanical Systems) triaxial acceleration sensor, or three uniaxial accelerations arranged in three orthogonal directions. You may comprise by a sensor.

  The storage unit 110 stores a program executed by the CPU 102, data required in the course of processing performed by each unit included in the pedometer 100, and the like. In the present embodiment, for example, the CPU 102 operates as a step count calculation unit, a walking / running determination unit, and a processing unit of the present invention.

  Next, directions in the X-axis direction, the Y-axis direction, and the Z-axis direction when the pedometer 100 is worn by the user will be described. FIG. 3 is a schematic diagram showing the directions of the X-axis direction, the Y-axis direction, and the Z-axis direction when the pedometer 100 is worn by the user in the present embodiment. As shown in the figure, when the pedometer 100 is mounted on the user's arm, the direction from the elbow to the back of the hand is the Y-axis direction, the direction perpendicular to the back of the hand is the Z-axis direction, and the Y-axis direction And the direction perpendicular to the plane uniquely determined by the Z-axis direction is the X-axis direction.

  Next, the magnitude of the moving average acceleration in the X, Y, and Z axis directions detected by the pedometer 100 when the user is walking will be described. FIG. 4 is a graph illustrating the magnitude of the moving average acceleration in the X, Y, and Z axis directions detected by the pedometer 100 when the user is walking in the present embodiment. In the illustrated example, the horizontal axis represents time, and the vertical axis represents the magnitude of the moving average acceleration [mG], which is the average of the accelerations over the last 2 seconds. A curve 401 indicates the magnitude of the moving average acceleration X in the X axis direction, a curve 402 indicates the magnitude of the moving average acceleration Y in the Y axis direction, and a curve 403 indicates the moving average acceleration in the Z axis direction. The size of Z is shown.

  As shown in the figure, when the user is walking, the absolute value of the moving average acceleration in the Y-axis direction is 750 mG or more, and the absolute value of the moving average acceleration in the X-axis direction and the moving average acceleration in the Z-axis direction are Each absolute value is 750 mG or less. Accordingly, when the absolute value of the moving average acceleration in the Y-axis direction is 750 mG or more, and the absolute value of the moving average acceleration in the X-axis direction and the absolute value of the moving average acceleration in the Z-axis direction are 750 mG, respectively, Can be determined to be walking.

  Next, the magnitude of the moving average acceleration in the X, Y, and Z axis directions detected by the pedometer 100 when the user is traveling will be described. FIG. 5 is a graph showing the magnitude of the moving average acceleration in the X, Y, and Z axis directions detected by the pedometer 100 when the user is traveling in the present embodiment. In the illustrated example, the horizontal axis represents time, and the vertical axis represents the magnitude of the moving average acceleration [mG], which is the average of the accelerations over the last 2 seconds. A curve 501 indicates the magnitude of the moving average acceleration X in the X axis direction, a curve 502 indicates the magnitude of the moving average acceleration Y in the Y axis direction, and a curve 503 indicates the moving average acceleration in the Z axis direction. The size of Z is shown.

  As illustrated, when the user is traveling, the absolute value of the moving average acceleration in the X-axis direction is 700 mG or more, and the absolute value of the moving average acceleration in the Y-axis direction and the moving average acceleration in the Z-axis direction are Each absolute value is 700 mG or less. Accordingly, when the absolute value of the moving average acceleration in the X-axis direction is 700 mG or more, and the absolute value of the moving average acceleration in the Y-axis direction and the absolute value of the moving average acceleration in the Z-axis direction are 700 mG, respectively, Can be determined to be running.

  When determining whether the user is walking or running based on the amplitude of the output of the acceleration sensor as in the past, it is difficult to accurately detect the amplitude because the amplitude interval is short. If the amplitude cannot be detected accurately, the user cannot accurately determine whether the user is walking or running. However, the pedometer 100 according to the present embodiment is based on the moving average acceleration in the X-axis direction, the moving average acceleration in the Y-axis direction, and the moving average acceleration in the Z-axis direction. Determine if it is inside. If the amplitudes of the acceleration sensors 106 to 108 can be detected to some extent, the moving average acceleration in the X-axis direction, the moving average acceleration in the Y-axis direction, and the moving average acceleration in the Z-axis direction can be accurately calculated. Therefore, the pedometer 100 can more accurately determine whether the user is walking or running.

  Next, a processing procedure of candidate detection processing in which the pedometer 100 detects a walking signal candidate will be described. FIG. 6 is a flowchart showing a processing procedure of candidate detection processing executed by the pedometer 100 according to the present embodiment. The pedometer 100 repeatedly executes candidate detection processing. In the following description, an example in which a walking signal candidate is detected using the output of the acceleration sensor 106 will be described. However, a walking signal candidate may be detected using the output of the acceleration sensor 107 or the acceleration sensor 108. Alternatively, walking signal candidates may be detected using a plurality of outputs from the outputs of the acceleration sensors 106 to 108.

  (Step S101) The CPU 102 determines whether or not it is the timing (sampling timing) for performing the processing after step S102. If the CPU 102 determines that it is the sampling timing, the process proceeds to step S102; otherwise, the process of step S101 is executed again. For example, when the sampling timing is 50 ms, the CPU 102 executes the processing after step S102 every 50 ms. That is, the interval (sampling interval) at which the CPU 102 performs the processing after step S102 is 50 ms. The sampling timing is desirably 50 ms to 100 ms.

  (Step S <b> 102) The CPU 102 acquires the output of the acceleration sensor 106 at the sampling interval, which is converted into a digital signal by the AD converter 109. Thereafter, the process proceeds to step S103. For example, when the sampling timing is 50 ms, the AD converter 109 outputs the output value of the acceleration sensor 106 every 50 ms, and the CPU 102 acquires the output value of the acceleration sensor 106 output by the AD converter 109 every 50 ms.

  (Step S103) The CPU 102 determines whether or not the output value of the acceleration sensor 106 at the sampling interval acquired in Step S102 has changed from a value equal to or smaller than a threshold value to a value equal to or larger than the threshold value. If the CPU 102 determines that the output value of the acceleration sensor 106 at the sampling interval acquired in step S102 has changed from a value equal to or less than the threshold value to a value equal to or greater than the threshold value, the process proceeds to step S106, and otherwise. Advances to step S104. For example, when the threshold value is 1200 mG and the output of the acceleration sensor 106 changes from 1150 mG to 1250 mG, the CPU 102 determines that the output value of the acceleration sensor 106 has changed from a value less than the threshold value to a value greater than or equal to the threshold value. .

(Step S104) The CPU 102 determines whether or not the process of step S103 has been performed a predetermined number of times. When the CPU 102 determines that the process of step S103 has been performed a predetermined number of times, the process proceeds to step S105, and otherwise, the process returns to step S101. For example, the fixed number of times is 10 times.
(Step S105) The CPU 102 determines that the user has stopped walking, and ends the process.

  (Step S <b> 106) The CPU 102 determines whether or not a predetermined time has elapsed since it was determined that the signal is a previous walking signal candidate. If the CPU 102 determines that a certain time (mask time) has elapsed since it was determined as a candidate for the previous walking signal, the process proceeds to step S107. Otherwise, the process returns to step S101. A method for determining the mask time will be described later.

  (Step S107) The CPU 102 determines that the output value of the acceleration sensor 106 acquired in Step S102 is a walking signal candidate. Thereafter, the process ends.

  Next, the process procedure of the step count measurement process in which the pedometer 100 measures the number of steps will be described. FIG. 7 is a flowchart showing a processing procedure of the step count measurement process executed by the pedometer 100 according to the present embodiment. The pedometer 100 repeatedly executes the step count measurement process.

(Step S201) The CPU 102 determines whether or not the walking signal candidates detected in the detection process are continuous (confirm continuity). Thereafter, the process proceeds to step S202. For example, when walking signal candidates within 1 second intervals are detected six times or more within 6 seconds, it is determined that walking signal candidates are continuous.
(Step S202) The CPU 102 counts the number of walking signal candidates detected by the detection process after adding the number of steps in the process of the previous step S205 as the number of provisional steps. Thereafter, the process proceeds to step S203.

(Step S203) When the CPU 102 determines that the walking signal candidates are continuous in the process of step S201, the CPU 102 determines that the output value of the acceleration sensor 106 is a signal due to walking. If the CPU 102 determines that the output value of the acceleration sensor 106 is a signal due to walking, the process proceeds to step S204. Otherwise, the process ends.
(Step S204) The CPU 102 determines that the user is walking. Thereafter, the process proceeds to step S205.
(Step S205) The CPU 102 adds the number of provisional steps counted in step S202 to the number of steps. Thereafter, the process ends.

  Next, a walking / running determination process in which the pedometer 100 determines whether the user is walking or running will be described. FIG. 8 is a flowchart showing the processing procedure of the walking / running determination process executed by the pedometer 100 according to the present embodiment. The pedometer 100 repeatedly executes the walking / running determination process.

  (Step S301) The CPU 102 determines whether or not it is a timing (sampling timing) for performing the processing after step S302. If the CPU 102 determines that it is the sampling timing, the process proceeds to step S302; otherwise, the process of step S301 is executed again. For example, when the sampling timing is set to 50 ms, the CPU 102 executes the processing after step S302 every 50 ms. That is, the interval (sampling interval) at which the CPU 102 performs the processing after step S302 is 50 ms. The sampling timing is desirably 50 ms to 100 ms.

  (Step S <b> 302) The CPU 102 acquires the outputs of the acceleration sensors 106, 107, and 108 for the past 2 seconds, which are converted into digital signals by the AD converter 109. Thereafter, the process proceeds to step S303. For example, when the AD converter 109 outputs the output values of the acceleration sensors 106, 107, and 108 every 50 ms, the CPU 102 outputs the output values of the 40 acceleration sensors 106 output by the AD converter 109 during the past 2 seconds. The output values of the 40 acceleration sensors 107 and the output values of the 40 acceleration sensors 108 are acquired. In the present embodiment, an example in which the outputs of the acceleration sensors 106, 107, and 108 in the past 2 seconds are acquired will be described. However, the present invention is not limited to this, and an arbitrary period may be used.

  (Step S303) The CPU 102 obtains the average value (moving average acceleration in the X-axis direction) of the acceleration sensor 106 in the past 2 seconds and the average value of the output value of the acceleration sensor 107 in the past 2 seconds, which are acquired in Step S302. (A moving average acceleration in the Y-axis direction) and an average value of the output values of the acceleration sensor 108 in the past 2 seconds (moving average acceleration in the Z-axis direction) are calculated. Thereafter, the process proceeds to step S304.

  (Step S304) The CPU 102 is walking based on the moving average acceleration in the X-axis direction, the moving average acceleration in the Y-axis direction, and the moving average acceleration in the Z-axis direction calculated in Step S303. To determine whether the vehicle is running. Thereafter, the process proceeds to step S305. As a method for determining whether the user is walking or running, for example, as described with reference to FIGS. 4 and 5, the absolute value of the moving average acceleration in the Y-axis direction is 750 mG or more, and X When the absolute value of the moving average acceleration in the axial direction and the absolute value of the moving average acceleration in the Z axis direction are 750 mG, the user determines that the user is walking, and the absolute value of the moving average acceleration in the X axis direction. Is 700 mG or more and the absolute value of the moving average acceleration in the Y-axis direction and the absolute value of the moving average acceleration in the Z-axis direction are 700 mG, it is determined that the user is traveling. If neither is true, the determination is the same as the previous determination. In addition, the determination criterion that the vehicle is walking and the determination criterion that the vehicle is running may be arbitrarily set according to the environment.

  (Step S305) When the CPU 102 determines in step S304 that the user is walking, the CPU 102 performs processing suitable for walking, and when the user determines that the user is traveling, the CPU 102 is traveling. Process suitable for Thereafter, the process ends. Specifically, when the CPU 102 determines that the user is walking, the mask time is set to a time suitable for walking (for example, 300 ms), and when the user determines that the user is running, the mask time is set to The time is suitable for traveling (for example, 200 ms). Further, when the CPU 102 determines that the user is traveling, the CPU 102 calculates the walking distance using the walking step length (for example, 50 cm to 60 cm) and the counted number of steps, and determines that the user is traveling. In this case, the travel distance is calculated using the step length (for example, 90 cm to 110 cm) by the travel and the counted number of steps.

In addition, when the CPU 102 determines that the user is walking, the CPU 102 calculates energy consumption using a calculation formula suitable for walking. When the user determines that the user is traveling, the CPU 102 is suitable for driving. The energy consumption is calculated using the calculated formula. For example, the following formula is used as a calculation formula (Reference: 3rd Exercise Requirements / Exercise Guidelines Study Committee Materials Exercise Guidelines 2006 for Health Promotion-For Prevention of Lifestyle-related Diseases-Health Promotion Exercise Standards 2006 for Physical Activity, Physical Activity, Physical Fitness) The exercise during walking is set to 3.0 METs, and the exercise during running is set to 7.0 METs.
Energy consumption (kcal) = 1.05 x exercise (mets / hour, METs) x body weight (kg)

  As described above, according to this embodiment, the pedometer 100 is based on the magnitudes of the moving average acceleration in the X-axis direction, the moving average acceleration in the Y-axis direction, and the moving average acceleration in the Z-axis direction. Can determine whether the user is walking or running more accurately than the method of determining using the amplitude of acceleration.

  In addition, since the pedometer 100 determines whether the user is walking or running using the moving average acceleration, it is not necessary to include a peak hold circuit for preventing the acceleration peak from being missed. Also, it is not necessary to make the sampling period of acceleration measurement fine. Therefore, the pedometer 100 can further reduce the circuit scale and power consumption.

  Also, the pedometer 100 performs a process suitable for walking when it is determined that the user is walking, and performs a process suitable for driving when the user determines that the user is traveling. Therefore, a more accurate processing result can be obtained. For example, the walking pitch, stride, exercise, and the like differ between when the user is traveling and when walking. When the pedometer 100 determines that the user is walking, the pedometer 100 performs various processes using the walking pitch, step length, exercise, etc. during walking, and when the user determines that the user is running. Various processes are performed using walking pitch, stride, exercise, and the like during walking. Therefore, the pedometer 100 can obtain a more accurate processing result.

  Note that all or some of the functions of each unit included in the pedometer 100 in the embodiment described above are recorded on a computer-readable recording medium and a program for realizing these functions. You may implement | achieve by making a computer system read a program and executing it. Here, the “computer system” includes an OS and hardware such as peripheral devices.

  The “computer-readable recording medium” refers to a portable medium such as a flexible disk, a magneto-optical disk, a ROM, and a CD-ROM, and a storage unit such as a hard disk built in the computer system. Further, the “computer-readable recording medium” dynamically holds a program for a short time, like a communication line when transmitting a program via a network such as the Internet or a communication line such as a telephone line. It is also possible to include those that hold a program for a certain time, such as a volatile memory inside a computer system serving as a server or client in that case. The program may be a program for realizing a part of the functions described above, and may be a program capable of realizing the functions described above in combination with a program already recorded in a computer system.

  The present invention is not limited to the embodiment described above, and various modifications can be made without departing from the spirit of the present invention. For example, in the above-described embodiment, the wristwatch type pedometer as shown in FIG. 1 is described as an example of the electronic device. However, the present invention is not limited to this, and the electronic device is used by being worn on the user's arm. Any electronic device may be used.

  DESCRIPTION OF SYMBOLS 100 ... Pedometer, 101 ... Oscillation part, 102 ... CPU, 103 ... Input part, 104 ... Display control part, 105 ... Display part, 106-108 ... Acceleration sensor 109: AD converter, 110: Storage unit

Claims (6)

A first acceleration sensor that detects acceleration in a first direction and outputs a first signal corresponding to the acceleration;
A second acceleration sensor that detects acceleration in a second direction orthogonal to the first direction and outputs a second signal corresponding to the acceleration;
A third acceleration sensor for detecting an acceleration in a third direction orthogonal to a plane uniquely specified by the first direction and the second direction and outputting a third signal corresponding to the acceleration; ,
A step number calculating unit that calculates the number of steps using one or more of the first signal, the second signal, and the third signal;
Walking for determining whether walking or running based on the moving average value of the first signal, the moving average value of the second signal, and the moving average value of the third signal A travel determination unit;
A processing unit that performs processing suitable for walking when the walking / running determination unit determines that it is walking, and a processing unit that performs processing suitable for driving when the walking / running determination unit determines that it is running ,
An electronic device characterized by comprising: The process suitable for walking is a process of selecting a walking stride and calculating a walking distance using the stride and the step count calculated by the step count calculation unit.
The process suitable for the travel is a process of selecting a stride for travel and calculating a travel distance using the stride and the step count calculated by the step count calculation unit. Electronics. The process suitable for walking is a process of calculating energy consumption using a formula for calculating energy consumption for walking,
The electronic apparatus according to claim 1, wherein the process suitable for traveling is a process of calculating an energy consumption amount using a calculation formula of an energy consumption amount for traveling. machine. The step count calculation unit calculates a step count using a mask time,
The process suitable for walking is a process of changing the mask time used when the step calculation unit calculates the number of steps to a mask time for walking,
The process suitable for the travel is a process of changing the mask time used when the step count calculation unit calculates the step count to a mask time for travel. Item 1. An electronic device according to item 1. A first acceleration sensor that detects acceleration in a first direction and outputs a first signal corresponding to the acceleration;
A second acceleration sensor that detects acceleration in a second direction orthogonal to the first direction and outputs a second signal corresponding to the acceleration;
A third acceleration sensor for detecting an acceleration in a third direction orthogonal to a plane uniquely specified by the first direction and the second direction and outputting a third signal corresponding to the acceleration; ,
A step number calculating unit that calculates the number of steps using one or more of the first signal, the second signal, and the third signal;
Walking for determining whether walking or running based on the moving average value of the first signal, the moving average value of the second signal, and the moving average value of the third signal A travel determination unit;
A processing unit that performs processing suitable for walking when the walking / running determination unit determines that it is walking, and a processing unit that performs processing suitable for driving when the walking / running determination unit determines that it is running ,
Pedometer characterized by having. On the computer,
A first acceleration detecting step of detecting an acceleration in a first direction and outputting a first signal corresponding to the acceleration;
A second acceleration detecting step of detecting an acceleration in a second direction orthogonal to the first direction and outputting a second signal corresponding to the acceleration;
A third acceleration detecting step of detecting an acceleration in a third direction orthogonal to a plane uniquely specified by the first direction and the second direction and outputting a third signal corresponding to the acceleration; When,
A step number calculating step for calculating a step number using one or more signals of the first signal, the second signal, and the third signal;
Walking for determining whether walking or running based on the moving average value of the first signal, the moving average value of the second signal, and the moving average value of the third signal A travel determination step;
A processing step that performs a process suitable for walking when it is determined that the vehicle is walking in the walking / running determination step, and a process that performs a process suitable for travel when it is determined that the vehicle is traveling in the walking / running determination step; ,
A program for running

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