JP2021007762A - Exercise support apparatus, exercise support method, and exercise support program - Google Patents

Abstract

To provide an exercise support apparatus, exercise support method, and exercise support program capable of evaluating an exercise ability and efficiency thereof by easily and accurately estimating a subject's oxygen uptake during a daily practice and an actual race.SOLUTION: An exercise support apparatus calculates force applied to a user's body during exercise on the basis of sensor data corresponding to a moving state of the user's body output by a motion sensor of a sensor device 100; by using that the force is equal to force exerted by the body activities, calculates an average value (K value) per minute applied to 1 kg of a body weight of the user US; and estimates an amount of oxygen (an oxygen uptake VO2) ingested by the user US per 1 kg of the body weight per minute.SELECTED DRAWING: Figure 2

Description

The present invention relates to an exercise support device, an exercise support method, and an exercise support program that can grasp the motion state (exercise state) of the human body during exercise and use it for evaluation and improvement of its efficiency.

In recent years, the number of people who perform exercises such as running, walking, and cycling on a daily basis is increasing against the background of increasing health consciousness. On the other hand, in the research field of exercise that repeats relatively uniform movements for a long period of time, such as running and cycling, exercise ability and its efficiency are conventionally based on the oxygen uptake measured during exercise. A method for evaluating (for example, running economy) is known.

Here, as a method of measuring the oxygen uptake during exercise, for example, as described in Patent Document 1, the subject is wearing a mouthpiece or a mask connected to the measuring device via a sampling tube. , A method of running on a treadmill and directly collecting the exhaled breath of a running subject is widely known.

Japanese Unexamined Patent Publication No. 2003-573

As described in Patent Document 1 described above, in the method of directly measuring the oxygen uptake of a subject, in addition to the device configuration being large and stationary, the subject was equipped with a relatively heavy and bulky device. In the state, you have to run on the treadmill. In such a method, the burden on the subject is heavy, and the measurement environment and conditions are restricted, so that daily practice on a track or road (on the road) or measurement in an actual competition or race is performed. Was virtually impossible to do. Therefore, there is a problem that it is not possible to grasp and evaluate changes in oxygen uptake, athletic ability, and efficiency with the passage of mileage and time in practice and race settings that are different from the running conditions on the treadmill. Had. In addition, such devices are generally expensive and therefore have the problem that they cannot be easily used unless they are for research purposes or first-class athletes.

Therefore, in view of the above problems, it is an object of the present invention to provide an exercise support device, an exercise support method, and an exercise support program that can easily estimate the oxygen uptake of a subject.

The exercise support device according to the present invention
An acceleration sensor that measures changes in the user's operating velocity during moving motion and outputs it as acceleration data by detecting accelerations in the three axial directions that are orthogonal to each other, and an acceleration sensor in the rotation direction centered on each of the three axes. A sensor data acquisition unit that acquires the acceleration data and the angular velocity data from a sensor having a gyro sensor that measures a change in the traveling direction of the user during the moving operation and outputs it as angular velocity data by detecting the angular velocity. When,
An arithmetic processing unit that estimates the oxygen uptake per unit time of the user based on the acceleration data, and
With
The arithmetic processing unit
Based on either the acceleration data or the angular velocity data, the interval of the contact timing of one foot of the user in the movement operation is detected as one cycle.
An average waveform obtained by averaging the waveforms of the acceleration data in a plurality of cycles is calculated.
For the period from the contact timing of one foot to the contact timing of the other foot, a first waveform obtained by averaging the waveforms of the plurality of acceleration data is calculated.
For the period from the contact timing of the other foot to the contact timing of the one foot, a second waveform obtained by averaging the waveforms of the plurality of acceleration data is calculated.
By normalizing the first waveform and the second waveform based on the average waveform, and joining the normalized first waveform and the second waveform so as to be continuous in time. , Generates a normalized one-cycle average waveform in the moving motion,
The unit motion force is calculated based on the period of the normalized average waveform.
It is characterized in that the oxygen uptake is estimated based on the correlation peculiar to the user between the unit movement force and the oxygen uptake.

Further, the exercise support device according to the present invention is
An acceleration sensor that measures changes in the user's operating velocity during moving motion and outputs it as acceleration data by detecting accelerations in the three axial directions that are orthogonal to each other, and an acceleration sensor in the rotation direction centered on each of the three axes. A sensor data acquisition unit that acquires the acceleration data and the angular velocity data from a sensor having a gyro sensor that measures a change in the traveling direction of the user during the moving operation and outputs it as angular velocity data by detecting the angular velocity. When,
An arithmetic processing unit that estimates fluctuations in oxygen uptake per unit time of the user based on the acceleration data, and
With
The arithmetic processing unit
Based on either the acceleration data or the angular velocity data, the interval of the contact timing of one foot of the user in the movement operation is detected as one cycle.
An average waveform obtained by averaging the waveforms of the acceleration data in a plurality of cycles is calculated.
For the period from the contact timing of one foot to the contact timing of the other foot, a first waveform obtained by averaging the waveforms of the plurality of acceleration data is calculated.
For the period from the contact timing of the other foot to the contact timing of the one foot, a second waveform obtained by averaging the waveforms of the plurality of acceleration data is calculated.
By normalizing the first waveform and the second waveform based on the average waveform, and joining the normalized first waveform and the second waveform so as to be continuous in time. , Generates a normalized one-cycle average waveform in the moving motion,
The unit motion force is calculated based on the period of the normalized average waveform.
It is characterized in that the fluctuation of the oxygen uptake is estimated according to the fluctuation of the unit operating force.

The exercise support method according to the present invention
An acceleration sensor that measures changes in the user's operating velocity during moving motion and outputs it as acceleration data by detecting accelerations in the three axial directions that are orthogonal to each other, and an acceleration sensor in the rotation direction centered on each of the three axes. A step of acquiring the acceleration data and the angular velocity data from a sensor having a gyro sensor that measures a change in the traveling direction of the user during the moving operation and outputs the angular velocity data by detecting the angular velocity.
Based on either the acceleration data or the angular velocity data, the interval of the contact timing of one foot of the user in the movement operation is detected as one cycle.
An average waveform obtained by averaging the waveforms of the acceleration data in a plurality of cycles is calculated.
For the period from the contact timing of one foot to the contact timing of the other foot, a first waveform obtained by averaging the waveforms of the plurality of acceleration data is calculated.
For the period from the contact timing of the other foot to the contact timing of the one foot, a second waveform obtained by averaging the waveforms of the plurality of acceleration data is calculated.
By normalizing the first waveform and the second waveform based on the average waveform, and joining the normalized first waveform and the second waveform so as to be continuous in time. , Generates a normalized one-cycle average waveform in the moving motion,
A step of calculating a unit motion force based on the period of the normalized average waveform, and
A step of estimating the oxygen uptake based on the user-specific correlation between the unit movement force and the oxygen uptake of the user per unit time.
It is characterized by including.

The present invention
An exercise support program for exercise support devices
The motion support device measures an acceleration of a user's motion velocity during a moving motion by detecting accelerations in three axial directions orthogonal to each other and outputs the acceleration data as acceleration data, and each of the three axes. The acceleration data and the angular velocity data are obtained from a sensor having a gyro sensor that measures a change in the traveling direction of the user during the moving operation and outputs it as angular velocity data by detecting the angular velocity in the rotation direction around the center. It has a sensor data acquisition unit to acquire
On the computer
The acceleration data and the angular velocity data are acquired from the sensor data acquisition unit.
Based on either the acceleration data or the angular velocity data, the interval of the contact timing of one foot of the user in the movement operation is detected as one cycle.
An average waveform obtained by averaging the waveforms of the acceleration data in a plurality of cycles is calculated.
For the period from the contact timing of one foot to the contact timing of the other foot, a first waveform obtained by averaging the waveforms of the plurality of acceleration data is calculated.
For the period from the contact timing of the other foot to the contact timing of the one foot, a second waveform obtained by averaging the waveforms of the plurality of acceleration data is calculated.
By normalizing the first waveform and the second waveform based on the average waveform, and joining the normalized first waveform and the second waveform so as to be continuous in time. , Generates a normalized one-cycle average waveform in the moving motion,
The unit motion force is calculated based on the period of the normalized average waveform.
An exercise support program characterized in that the oxygen uptake is estimated based on the correlation peculiar to the user between the unit movement force and the oxygen uptake per unit time of the user.

According to the present invention, the oxygen uptake of a subject can be easily estimated.

It is the schematic which shows the 1st Embodiment of the exercise support device which concerns on this invention. It is a functional block diagram which shows the structural example applied to the exercise support apparatus which concerns on 1st Embodiment. This is verification data showing an example of the correlation between the K value applied to the exercise support device according to the first embodiment and the oxygen uptake VO ₂ . It is a flowchart which shows an example of the exercise support method which concerns on 1st Embodiment. It is a functional block diagram which shows the modification of the exercise support device which concerns on 1st Embodiment. It is explanatory drawing (the 1) of the average waveform detection processing applied to the modification of 1st Embodiment. It is explanatory drawing (the 2) of the average waveform detection processing applied to the modification of 1st Embodiment. It is a functional block diagram which shows the structural example applied to the exercise support apparatus which concerns on 2nd Embodiment. It is a figure which shows the display example (the 1) of the analysis result in the exercise support apparatus which concerns on this invention. It is a figure which shows the display example (the 2) of the analysis result in the exercise support apparatus which concerns on this invention. It is a figure which shows the display example (the 3) of the analysis result in the exercise support apparatus which concerns on this invention. It is a figure which shows the display example (the 4) of the analysis result in the exercise support apparatus which concerns on this invention. It is a figure which shows the display example (the 5) of the analysis result in the exercise support apparatus which concerns on this invention. It is a figure which shows the display example (the 6) of the analysis result in the exercise support apparatus which concerns on this invention. It is a figure which shows the display example (the 7) of the analysis result in the exercise support apparatus which concerns on this invention. It is a figure which shows the display example (the 8) of the analysis result in the exercise support apparatus which concerns on this invention. It is a figure which shows the display example (the 9) of the analysis result in the exercise support apparatus which concerns on this invention.

Hereinafter, the exercise support device, the exercise support method, and the exercise support program according to the present invention will be described in detail by showing embodiments. In the following embodiment, the case where the user (subject) of the exercise support device according to the present invention runs is described in detail, but if it is an exercise in which a relatively uniform motion is periodically repeated for a long time, It may be applied to other exercises such as walking and cycling.

<First Embodiment>
(Exercise support device)
FIG. 1 is a schematic view showing a first embodiment of the exercise support device according to the present invention. FIG. 2 is a functional block diagram showing a configuration example applied to the exercise support device according to the present embodiment. FIG. 2A is a functional block diagram showing a configuration example of a sensor device, and FIG. 2B is a functional block diagram showing a configuration example of an external display device. FIG. 3 is verification data showing an example of the correlation between the K value and the oxygen uptake VO ₂ applied to the exercise support device according to the present embodiment.

The exercise support device according to the first embodiment is acquired by the sensor device 100 mounted on the body of the user US, which is the subject, and the sensor device 100, as shown in FIGS. 1 (a) and 1 (b), for example. An index for defining and evaluating the exercise ability of the user US and its efficiency, which is calculated or estimated based on sensor data, etc. (K value, oxygen intake VO ₂ described later; hereinafter, "exercise ability evaluation index" It has an external display device 200 that displays the analysis result regarding the exercise state, including (described).

(Sensor device 100)
The sensor device 100 measures the periodic movement of the body during exercise such as running, walking, and cycling using a motion sensor, and based on the collected sensor data, sets an exercise ability evaluation index of the user US during exercise. It has a function to calculate or estimate various analysis data related to the exercise state including.

As shown in FIGS. 1A and 1B, for example, the sensor device 100 is a small electronic device having a rectangular parallelepiped shape, a curved body shape, or the like, and the movement of the body of the user US during exercise is detected by a motion sensor. It is worn in close contact with the lumbar region on the back side of the user US for accurate measurement. Here, the mounting location of the sensor device 100 may be at least as long as it is mounted in close contact with a part of the human body that moves in accordance with the movement of the body during the movement of the user US, and specifically, during the movement. It may be attached to any part of the torso and the base of the neck except for parts such as limbs and head that move violently without corresponding to the movement of the torso. Further, the sensor device 100 may be attached detachably by applying, for example, a form of being clipped to a wear TW or a belt worn by the user US, a form of being attached with an adhesive tape, or the like. , It may be attached to the human body directly via a suction cup, an adhesive member, or the like, or it may be a form incorporated in the fabric of the wear worn by the user US.

Specifically, as shown in FIG. 2A, for example, the sensor device 100 includes a sensor unit 110, a speed information acquisition unit 120, an arithmetic processing unit 130, a memory unit 150, and an interface unit (hereinafter, “” It includes a 160 (abbreviated as "I / F unit") and a power supply unit 170.

The sensor unit 110 has an acceleration sensor 112 and a gyro sensor (angular velocity sensor) 114 as motion sensors, and measures the movement of the body during exercise of the user US. The acceleration sensor 112 has a three-axis acceleration sensor, and measures a change in the operating speed of the user US during exercise by detecting acceleration in the three-axis directions orthogonal to each other. The gyro sensor 114 has a three-axis angular velocity sensor, and measures a change in the operating direction of the user US during exercise by detecting an angular velocity in the rotation direction centered on each of the three axes that define the acceleration. The acceleration data detected by the acceleration sensor 112 and the angular velocity data detected by the gyro sensor 114 are stored in the memory unit 150 in association with the time data of the elapsed time, respectively.

Here, since the force acting on the body during exercise is equivalent to the force exerted by the physical activity in the exercise due to the relationship of action and reaction, the force acting on the body by a motion sensor such as an acceleration sensor or a gyro sensor is used. To measure means to measure the force exerted by physical activity (that is, athletic ability). As for the three-axis directions of the acceleration sensor 112 and the gyro sensor 114, for example, the front-back direction of the human body during running as shown in FIG. 1A is the y-axis (the traveling direction of the user US is the − direction), and the left-right direction of the human body is The x-axis (the left direction of the user US is the + direction) is set, and the vertical direction of the human body orthogonal to the xy plane is set to be the z-axis (the overhead direction of the user US is the + direction). Further, the angular velocity generated in the clockwise direction toward the + direction of each axis is set in the + direction.

The speed information acquisition unit 120 acquires information on the moving speed (in the case of running, the running speed) of the user US during the moving exercise. The speed information acquisition unit 120 applies, for example, a method of directly receiving a signal related to speed information transmitted from a GPS satellite of a Global Positioning System (GPS) to acquire a moving speed during exercise. Can be done. In this case, the speed information acquisition unit 120 has a GPS signal reception function.

Further, the speed information acquisition unit 120 refers to, for example, the change in the traveling direction of the user US acquired by the gyro sensor 114 and the map data related to the movement route such as the running course prepared in advance, and the position on the movement route. It is also possible to apply a method of calculating the moving speed based on the moving distance and the elapsed time calculated from the change of. In this case, the speed information acquisition unit 120 has a function of saving and referencing map data and the like.

Further, the speed information acquisition unit 120 is, for example, from a wireless communication access point such as WiFi (wireless fidelity (registered trademark)), a beacon transmitter, a magnetic generator, etc. installed on or near the movement path. It is also possible to apply a method of specifying the current position by receiving a transmitted signal for specifying the position and calculating the moving speed based on the moving distance and the elapsed time. Here, the access point, beacon transmitter, and magnetic generator that transmit a signal for specifying the position may be permanently installed for commercial purposes, or may be used during a competition or race, or may be specific. It may be a temporary one that is installed only during practice. In this case, the speed information acquisition unit 120 has a function of receiving wireless communication signals and beacons, or a function of detecting magnetism such as a magnetic sensor.

The method for acquiring the moving speed of the user US during exercise may be any one of these, or any combination of these may be used in a complementary manner, or other than these. Other methods may be applied. The speed data acquired by the speed information acquisition unit 120 is associated with the time data of the elapsed time and is stored in the memory unit 150 described later.

The arithmetic processing unit 130 is an arithmetic processing unit such as a CPU (central processing unit) or MPU (microprocessor) having a timing function, and by executing a predetermined control program, the acceleration sensor 112 or the gyro sensor 114 Controls the operation of the entire sensor device 100, such as the sensing operation in the memory unit 150, the storage and reading operation of various data in the memory unit 150 described later, and the output operation of analysis data to the external display device 200 in the I / F unit 160. .. Further, the arithmetic processing unit 130 executes a predetermined algorithm program, and based on the sensor data acquired by the sensor unit 110 and the speed data acquired by the speed information acquisition unit 120, the user US during exercise. Performs a process of calculating or estimating various analytical data related to the motor state, including the motor ability evaluation index of.

As shown in FIG. 2A, for example, the arithmetic processing unit 130 includes a ground axis estimation unit 132, a grounding detection unit 134, a period detection unit 136, a K value calculation unit (unit operation force calculation unit) 138, and a VO. _{It has 2} estimation units 140 and.

The earth's axis estimation unit 132 estimates the earth's axis (vertical axis) indicating the direction of gravity perpendicular to the ground surface based on the sensor data acquired by the sensor unit 110 described above. Specifically, the earth's axis estimation unit 132 calculates a vector in the direction of gravity by averaging the accelerations in the three-axis directions detected by the acceleration sensor 112 for several cycles or a certain period of running motion. The earth's axis is specified based on this.

The ground contact detection unit 134 detects the timing when either the left or right foot of the user US touches the ground during exercise based on the sensor data detected by the sensor unit 110. Specifically, in a general running motion, the time change of the acceleration detected in the direction of gravity based on the earth's axis estimated by the earth's axis estimation unit 132 is the timing when either the left or right foot of the user US touches the ground. Since it shows a closely related waveform, the grounding detection unit 134 detects the grounding timing based on this waveform change.

As described above, the ground contact detection unit 134 not only detects the timing when either the left or right foot of the user US touches the ground during exercise, but also the left or right foot touches the ground during exercise. It may be provided with a left / right grounding detection function (see the left / right grounding detection unit 144 of a modified example described later) for determining whether or not the above.

The cycle detection unit 136 is based on the grounding timing for each step of either the left or right foot of the user US detected by the grounding detection unit 134, and the running operation on the premise that the left and right feet are alternately grounded. Calculate the time for one cycle of the running motion consisting of left-to-right or left-to-right-to-left foot movement. The method for calculating the period in the running motion is not limited to the above method, and other methods may be applied.

The K value calculation unit 138 is based on the sensor data acquired by the sensor unit 110 and the time of one cycle of the running operation calculated by the cycle detection unit 136 described above by the user US, and the user US per minute. The average value per minute of the force acting on 1 kg of the body weight of the user US, that is, the force acting on the body weight of 1 kg of the user US is calculated. In the present embodiment, the force (unit motion force) acting on 1 kg of the body weight of the user US per minute of the running motion is referred to as "K value" and is defined as one of the athletic ability evaluation indexes. ..

Specifically, the cumulative value of the force acting on the human body during one cycle of the running motion is F (force acting on the human body), which is a time function, for one cycle, as shown in the following equation (11). It is calculated by integrating over. Therefore, the cumulative value W of the force acting on 1 kg of the body weight of the user US in one cycle is calculated by dividing the integral value of F shown in the equation (11) by the body weight m of the user US. Here, since the force F expressed by the time function is a value obtained by multiplying the acceleration a and the mass (body weight m), the cumulative value W of the forces acting on the body weight of the user US for 1 kg is the acceleration a. It is calculated by integrating over one cycle. The unit of the cumulative value W of this force is (N / kg / cycle). Further, in the three-axis acceleration sensor applied to the acceleration sensor 112, accelerations in the respective axial directions of orthogonal x, y, and z are detected. Therefore, the magnitude of the acceleration (above) is obtained by obtaining the root mean square value of these. Acceleration a) is calculated.

Then, as shown in the following equation (12), the cumulative value W of the above forces is divided by the time T (unit: seconds; sec) for one cycle of the running motion calculated by the cycle detection unit 136, and 60 By multiplying by and converting to minutes, the force K acting on 1 kg of the body weight of the user US per minute, that is, acting on 1 kg of the body weight of the user US in one cycle period. The average value of the force being applied per minute is calculated. The unit of this force K is (N / kg / min).

The method for calculating the force K acting on the body weight of the user US for 1 kg per minute in the running motion is not limited to the above method. For example, based on the sensor data acquired by the sensor unit 110 of the sensor device 100, the pitch P (steps per minute; unit is step / min), which is generally used as analysis data regarding the motion state of running motion, is calculated. If this is the case, one cycle in the running operation is the sum of the intervals of the ground contact timings for two left and right steps. Therefore, as shown in the following equation (13), the acceleration a is set to one cycle (time T). By multiplying the integrated value (cumulative value W of force; see the above equation (11)) by the pitch P / 2, the force K acting on 1 kg of the body weight of the user US per minute described above. Can be calculated.

VO ₂ estimation unit 140, calculated by the K value calculation unit 138, based on the force K acting on the body weight 1kg content of the user US of the body per minute, has been previously obtained user US-specific K values By referring to the correlation between and oxygen uptake VO ₂ , the amount of oxygen (oxygen uptake VO ₂ ) that the user US ingests per 1 kg of body weight per minute in this running operation of the user US is estimated. To do. The unit of this oxygen uptake VO ₂ is (ml / kg / min). In the present embodiment, the oxygen uptake VO ₂ estimated by the VO ₂ estimation unit 140 is defined as one of the athletic ability evaluation indexes together with the above K value.

Here, when the inventors of the present application verified the correlation between the K value and the oxygen uptake VO ₂ by various experiments, the difference in the physique and gender of the user US, the cardiopulmonary function, the physiological ability such as the form during running, etc. It was found that each user US has individual characteristics.

Specifically, for example, as shown in FIGS. 3 (a) to 3 (f), the K value and oxygen uptake VO ₂ measured when six user USs having different physiological abilities run on a treadmill. The correlation coefficient is 0.97 to 0.99, and both have a relatively high linearity that the K value increases linearly as the oxygen uptake VO ₂ increases. On the other hand, the slope of the regression line and the intercept value showing the correlation between the K value and the oxygen uptake VO ₂ have different values for each individual due to the physiological ability of each individual. Specifically, in FIG. 3A, the slope is 4.26 and the intercept is 584.69, in FIG. 3B, the slope is 4.33 and the intercept is 628.84, and in FIG. 3C, the slope is 5.51. , Section 644.15, Slope 9.49 in FIG. 3 (d), Slope 396.66, Slope 6.90 in FIG. 3 (e), Slope 548.70, Slope 7. In FIG. 3 (f). 58, intercept 535.61.

According to such verification results, since the physiological ability differs for each user US, the value of oxygen uptake VO ₂ during running between user USs can be determined by comparing the K value with other user USs. Although it is not possible to compare, for example, in the same user US individual, by referring to the correlation between the K value acquired in advance and the oxygen uptake VO ₂ , the change in the K value can be seen in the form of the running form. It was found that the change in oxygen uptake VO ₂ due to the influence can be estimated with high accuracy. The slope of the regression line and the intercept value of each individual are stored in a predetermined storage area of the memory unit 150 corresponding to each individual.

The memory unit 150 associates the sensor data (acceleration data, angular velocity data) acquired by the sensor unit 110 and the velocity data acquired by the velocity information acquisition unit 120 with the time data of the elapsed time, and stores them in a predetermined storage area. Save sequentially. In addition, the memory unit 150 includes an athletic ability evaluation index calculated or estimated based on sensor data acquired during exercise by executing a predetermined control program or algorithm program in the above-mentioned arithmetic processing unit 130. , Various analysis data related to the exercise state are stored in a predetermined storage area. A part or all of the memory unit 150 may have a form as a removable storage medium and may be configured to be detachable from the sensor device 100.

The I / F unit 160 outputs various analysis data and the like acquired by the sensor device 100 to the external display device 200, which will be described later, by a predetermined method or method. Specifically, the I / F unit 160 is external from the sensor device 100 by using various wireless communication methods such as Bluetooth (registered trademark) (Bluetooth (registered trademark)) and Wi-Fi (WiFi (registered trademark)). A method of outputting various analysis data and the like can be applied to the display device 200. Further, the I / F unit 160 is a method of outputting analysis data or the like to the external display device 200 via, for example, a USB (Universal Serial Bus) standard communication cable (USB cable) or a removable storage medium such as a memory card. Can also be applied.

The power supply unit 170 is a battery that supplies driving power to each configuration inside the sensor device 100, and is a primary battery such as a well-known button type battery, a secondary battery such as a lithium ion battery, and vibration or light. , A power source based on environmental power generation technology that generates electricity from energy such as heat and electromagnetic waves, alone or in combination as appropriate.

(External display device 200)
The external display device 200 includes an analysis of an exercise state including an exercise ability evaluation index (K value, oxygen intake) calculated or estimated based on sensor data or the like acquired during exercise by the user US by the sensor device 100 described above. It has a function of displaying the result in an arbitrary display form designated by the user US or a preset display form.

The external display device 200 is, for example, as shown in FIG. 1A, an electronic device having a display function, such as a personal computer, a smartphone, a tablet device, a wristwatch type or wristband type wrist device, a dedicated terminal, or the like. Can be applied. That is, the external display device 200 may be carried or worn by the user US during exercise, or may be separately installed without being carried by the user.

Specifically, as shown in FIG. 2B, for example, the external display device 200 notifies the operation unit 210, the I / F unit 220, the control unit 230, the memory unit 240, the display unit 250, and the notification unit. It has a unit 260 and a power supply unit 270.

The operation unit 210 is an input means such as a keyboard, mouse, and touch pad attached to the external display device 200, a touch panel provided on the front surface of the display unit 250 described later, and push buttons provided on the front surface and side surfaces of the device housing. have. The operation unit 210 is used for an input operation when displaying the analysis result regarding the exercise state including the exercise ability evaluation index output from the sensor device 100 on the display unit 250 in a predetermined display form. In addition, the I / F unit 220 captures various analysis data acquired by the sensor device 100 by a predetermined communication method by wireless or wired, or a method via a removable storage medium.

The control unit 230 is an arithmetic processing unit such as a CPU or MPU, and by executing a predetermined control program, various data and information display operations on the display unit 250, notification operations on the notification unit 260, and memory units 240. Controls the operation of the entire external display device 200, such as the operation of saving and reading various data and the like in the I / F unit 220, and the operation of capturing analysis data and the like from the sensor device 100 in the I / F unit 220. The memory unit 240 stores various analysis data and the like output from the sensor device 100 via the I / F unit 220 in a predetermined storage area.

The display unit 250 has, for example, a display panel of a liquid crystal system, a light emitting element system, or the like, and at least displays icons and menus related to input operations using the operation unit 210, various analysis data output from the sensor device 100, and the like. Is displayed as an analysis result in an arbitrary display form designated by using the operation unit 210 or in a preset display form. A specific example of the analysis result displayed on the display unit 250 will be described later. Further, in addition to the above information, the display unit 250 may display information related to various functions included in the external display device 200, time information, and the like.

The notification unit 260 has, for example, notification means such as a light emitting unit, an acoustic unit, a vibration unit, and a stimulation unit. The notification unit 260 notifies one step or a plurality of stages in conjunction with, for example, the analysis result displayed on the display unit 250, depending on the degree to which the analysis result deviates from a predetermined reference value or allowable range. Output information. The notification information output from the notification unit 260 is provided to the user US through visual, auditory, tactile, and the like. A specific example of the notification operation in the notification unit 260 will be described later.

The power supply unit 270 supplies driving power to each configuration inside the external display device 200. A secondary battery such as a lithium ion battery is applied to the power supply unit 270 in a portable electronic device such as a notebook personal computer, a smartphone, a tablet terminal, or a wrist device. In addition, commercial AC power supplies are applied to stationary electronic devices such as desktop personal computers.

In the present embodiment, the case where the external display device 200 has a function for displaying various analysis data and the like output from the sensor device 100 as the analysis result of a predetermined display form has been described. Is not limited to this. For example, when applying a smartphone, a wrist device, or the like that the user US carries or wears while exercising as the external display device 200, the user US operates the operation unit 210 of the external display device 200 to perform I / It has a function of transmitting an operation signal via the F unit 220 to control the start and end of the sensing operation in the sensor device 100, the calculation of various analysis data including the motor ability evaluation index, and the progress of the estimation process. It may be what you are doing.

(Exercise support method)
Next, the control method (exercise support method) in the exercise support device according to the present embodiment will be described with reference to the drawings. The exercise support method shown below is realized by executing a predetermined program in the arithmetic processing unit 130 of the sensor device 100 and the control unit 230 of the external display device 200.
FIG. 4 is a flowchart showing an example of the exercise support method according to the present embodiment.

In the exercise support method according to the present embodiment, as shown in the flowchart of FIG. 4, first, the sensor device 100 is started by the user US wearing the sensor device 100 on the waist and starting a running operation such as running. The arithmetic processing unit 130 of the above causes the acceleration sensor 112 and the gyro sensor 114 of the sensor unit 110 to detect sensor data (acceleration data, angular velocity data) corresponding to the movement of the body of the user US, and the velocity information acquisition unit 120 detects the speed data. Is stored in a predetermined storage area of the memory unit 150 in association with the time data (step S102). Such detection processing of the sensor data and the like is continuously executed periodically at a predetermined sampling cycle until the user US finishes the running operation, and the sensor data and the speed data are associated with the sampling time data. It is sequentially stored in a predetermined storage area of the memory unit 150.

Next, the arithmetic processing unit 130 collects the sensor data and the speed data for a predetermined time (at least one cycle of the running operation) after the user US finishes the running operation. , Performs a series of processing operations to calculate or estimate various analytical data related to the exercise state, including the exercise ability evaluation index (K value, oxygen uptake VO ₂ ) of the user US during exercise.

Specifically, the arithmetic processing unit 130 first calculates a vector in the gravity direction based on the acceleration data in the three-axis direction detected by the acceleration sensor 112 in the earth's axis estimation unit 132, and estimates the earth's axis to specify the earth's axis. The process is executed (step S104). Next, the arithmetic processing unit 130 indicates the time change of the acceleration component detected in the gravity direction based on the ground axis estimated by the ground axis estimation process among the acceleration data detected by the acceleration sensor 112 in the grounding detection unit 134. Based on the waveform, a ground contact detection process for detecting the timing when either the left or right foot of the user US touches the ground is executed (step S106).

Next, the arithmetic processing unit 130 executes the motion cycle detection process in the cycle detection unit 136 to calculate the time for one cycle of the running operation based on the ground contact timing detected by the ground contact detection process (step S108). Next, the arithmetic processing unit 130, in the K value calculation unit 138, based on the acceleration data acquired by the acceleration sensor 112 and the time of one cycle of the running motion calculated by the motion cycle detection process, 1 of the running motion. The K value calculation process for calculating the K value, which is the force acting on 1 kg of the body weight of the user US per minute, is executed (step S110).

Next, the arithmetic processing unit 130 determines the correlation between the user US-specific K value acquired in advance and the oxygen uptake VO ₂ based on the force K calculated by the K value calculation processing in the VO ₂ estimation unit 140. by reference, the current user US, or executes the VO ₂ estimation process for estimating the oxygen intake VO ₂ as of the most recent travel operation (step S112). In the series of processing operations of steps S104 to S112, various analysis data including each data calculated or estimated and an athletic ability evaluation index are associated with the time data and stored in a predetermined storage area of the memory unit 150. It will be saved.

Next, in the arithmetic processing unit 130, the sensor device 100 and the external display device 200 are connected via the I / F unit 160 by a wireless or wired communication method, or a removable storage medium such as a memory card is connected. By being connected, various analysis data and the like stored in the memory unit 150 are output (step S114). Here, various analysis data and the like output from the sensor device 100 to the external display device 200 by a wireless or wired communication method or via a removable storage medium are obtained by a series of processing operations in steps S104 to S112 described above. The calculated or estimated athletic ability evaluation index (K value, oxygen uptake VO ₂ ), speed data, etc. may be output as they are, or they may be associated with each other according to the analysis result display example described later. It may be output by.

Next, the control unit 230 of the external display device 200 takes in various analysis data and the like output from the sensor device 100 via the I / F unit 220 and stores them in a predetermined storage area of the memory unit 240. Then, when the user US operates the operation unit 210 of the external display device 200 and performs an input operation for displaying an arbitrary analysis result on the display unit 250, the control unit 230 receives various types of data stored in the memory unit 240. Data related to the instructed analysis result is extracted from the analysis data and the like and displayed as the analysis result on the display unit 250 in a predetermined display form (step S116). Here, the control unit 230 deviates from the analysis result displayed on the display unit 250, for example, the oxygen uptake VO ₂ with respect to the running speed exceeds a predetermined reference value or allowable range set in advance. When this occurs, the display color and the emission color may be changed stepwise (green → yellow → red), or the volume and tone of the alarm sound may be changed in the display unit 250 and the notification unit 260. .. Further, when the user US applies a smartphone, a wrist device, or the like that is carried or worn while exercising as the external display device 200, the intensity or pattern of vibration may be changed or a slight electric shock may be given to the human body. You may. When a notification method that gives a slight electric shock to the human body is used, a structure in which electrodes for passing a small amount of current are exposed is applied to a portion of the housing of the external display device 200 that comes into contact with the human body. ..

As described above, in the present embodiment, the force acting on the body during exercise is calculated based on the sensor data detected by the motion sensor of the sensor device 100 mounted in close contact with the body, and the force is exerted by the physical activity. By calculating the force (K value) acting on 1 kg of the body weight of the user US per minute by utilizing the fact that it is equivalent to the force to be applied, the user US per 1 kg of body weight per minute. Estimate the amount of oxygen ingested in the body (oxygen uptake VO ₂ ).

In the present embodiment, when the above oxygen uptake VO ₂ is obtained, the correlation between the user US-specific K value acquired in advance and the oxygen uptake VO ₂ is referred to, which is caused by the running form. The change in oxygen uptake VO ₂ to be performed can be estimated with high accuracy, and the exercise ability of the user US and its efficiency can be appropriately evaluated.

Further, in the present embodiment, the oxygen uptake VO ₂ during running can be estimated with high accuracy in a simple measurement environment in which a small sensor device 100 equipped with a motion sensor is attached in close contact with the body. because, practice and the actual race, such as the day-to-day, place and time, to estimate the oxygen intake VO ₂ at any time when needed without having to choose the cost, exercise capacity and its efficiency can be properly evaluated.

<Modification example>
Next, a modification of the above-described first embodiment will be described with reference to the drawings.
FIG. 5 is a functional block diagram showing a modified example of the exercise support device according to the present embodiment. Here, the same reference numerals are given to the configurations equivalent to those of the above-described embodiment to simplify the description. 6 and 7 are explanatory views of the average waveform detection process applied to this modification.

In the first embodiment described above, the arithmetic processing unit 130 detects the earth's axis and the ground based on the sensor data (acceleration data, angular velocity data) acquired by the sensor unit 110 during the exercise, and the traveling operation 1 The case of calculating the time for a cycle has been described. Here, in a general running operation, a sudden operation other than the original periodic operation such as unexpected rest, stumbling, or wobbling occurs, and the sensor data acquired by the sensor unit 110 is rounded or staggered. When one cycle of the running motion varies, the exercise ability evaluation index (K value, oxygen uptake VO ₂ ) is used in the K value calculation unit 138 and the VO ₂ estimation unit 140 related to the above equations (11) to (13). ) May not be calculated or estimated accurately.

Therefore, in this modified example, for example, as shown in FIG. 5, in addition to the configuration shown in the first embodiment described above, left and right ground contact for determining which foot is the left or right foot touched during exercise. It has a detection unit 144 and an average waveform detection unit 146 that performs an averaging process that suppresses periodic variations due to sudden changes in running motion during exercise.

In general running motion, the left and right ground contact detection unit 144 displays a waveform that is closely related to the movement of each of the left and right feet by the time change of the angular velocity detected about the y-axis set in the front-back direction of the human body during exercise. As shown above, based on this waveform change, it is determined which of the left and right feet has touched the ground at the grounding timing detected by the same function as the grounding detection unit 134 described above. As a method for determining the contact timing of each of the left and right feet, in addition to the method using the y-axis angular velocity data, the method using the x-axis acceleration data and the method using the z-axis angular velocity data are applied. It may be.

First, as shown in FIGS. 6A to 6C, the average waveform detection unit 146 first obtains sensor data (acceleration data in the three axial directions) of each cycle of the traveling operation calculated by the cycle detection unit 136. Normalize the time of the cycle so that it is the same time, divide the period of this one cycle into sample points of 0 to 400, for example, obtain the waveform obtained by averaging the sensor data of the same sample point of each cycle, and obtain a waveform of 0 to 399. For each sample point, the difference between the detected waveform and the average waveform of each cycle is calculated. The average waveform detection unit 146 executes such a process of calculating the difference between the detected waveform and the average waveform for each of the x, y, and z axes set in the sensor unit 110, as shown in FIG. 6 (d). In addition, the root mean square values of these three axes are obtained, and the root mean square values at each sample point from 0 to 399 are added up to obtain the difference from the mean waveform in each period. This corresponds to finding the difference vector between the average vector of acceleration and the individual vector at each sample point and adding up the magnitudes of the difference vectors over one cycle.

Next, the average waveform detection unit 146 sorts the order of each cycle in ascending order of the above difference, extracts the number of cycles required for averaging the detected waveforms of the sensor data, and uses them for the averaging process. For example, when calculating the average of 10 waveforms, select the 10 waveforms from the beginning of the sorted waveforms of each cycle, and when calculating the average of 20 waveforms, select the 20 waveforms from the beginning and select the next. Perform averaging processing.

Here, the average waveform detection unit 146 averages the detected waveforms of the sensor data by separately normalizing the left foot and the right foot. This is because, for example, when the time from the contact of the left foot to the landing of the next left foot is the same, if the contact time of the right foot varies, the waveform near the contact timing of the right foot becomes blunt. This is to suppress the influence of the rounding.

In the process of averaging the detected waveforms of the sensor data, the average waveform detection unit 146 first obtains the period of each detected waveform selected for averaging and calculates the average value (cyc) of these periods. .. Next, the time from the contact of the left foot to the contact of the right foot is obtained in each cycle, and the average value (cyc_L) of these times is calculated. Next, the time from the contact of the right foot to the contact of the left foot is obtained in each cycle, and the average value (cyc_R) of these times is calculated in the same manner as described above.

Then, based on these average values, the number of sample points to be normalized is calculated by the following equation.
Number of left foot points = round (400 x cyc_L / cyc)
Number of right foot points = round (400 x cyc_R / cyc)

Then, by connecting these sample points so as to be continuous, data for one cycle divided into 0 to 400 sample points is obtained. For example, FIG. 7 (a) shows the waveform of the complementary data when the number of points of the left foot is 197, and FIG. 7 (b) shows the waveform of the complementary data when the number of points of the right foot is 203. By connecting the complementary data of the left foot and the right foot in succession, as shown in FIG. 7 (c), an average waveform for one cycle consisting of 0 to 400 sample points can be obtained.

As described above, in this modified example, by averaging the complementary data obtained by separately obtaining the right foot section and the left foot section for the sensor data of each cycle, a large change in the detected waveform at the time of touchdown is not blunted. Moreover, a smooth waveform (average waveform) from which noise has been removed can be obtained.

Here, the average waveform obtained by the averaging process is a waveform in which the time T of the cycle is known and the cycle is represented by sensor data (acceleration data) of 400 sample points.
Since the time per sample point is T / 400 (sec), by multiplying the sum of all the acceleration magnitudes of 400 sample points by T / 400, the body weight of the user US is 1 kg per cycle. The cumulative value W of the force acting on the minute is obtained.

Here, in order to obtain the force K acting on 1 kg of the body weight of the user US per minute, the unit of time T is seconds (sec), so it is shown in the above equation (12). As described above, the cumulative value W of the force is multiplied by 60 / T. Therefore, the value of the force K can be obtained by multiplying the sum of the magnitudes of the accelerations of 400 sample points by 60/400. Then, as in the first embodiment described above, in the VO ₂ estimation unit 140, based on the force K, the reference to the correlation between the previously acquired user US-specific K value and oxygen uptake VO ₂ Therefore, the oxygen uptake VO ₂ in the current running operation of the user US can be estimated.

As described above, in this modification, when the force K acting on the body weight of the user US 1 kg per minute in the running motion is obtained, the periodicity of the motion, which is a feature of the exercise such as running, is used. Focusing on it, by using the average waveform, it is equivalent to running constantly without being affected by sudden movements other than the original periodic movements such as unexpected rest, stumbling, and wobbling. Oxygen uptake VO ₂ due to foam can be estimated.

Further, in the above embodiment, the slope of the regression line indicating the correlation between the K value and the oxygen uptake VO ₂ and the individual value of the intercept are stored in the memory unit 150, and the slope of the regression line and the intercept of the section are stored. It was assumed that the value of oxygen uptake VO ₂ was estimated from the K value based on the value. Here, it is difficult to estimate the accurate value of the oxygen uptake VO ₂ when the slope of the regression line and the intercept value are not obtained. However, in each individual, can be considered if there is no significant change in body weight and body type, etc., a certain correlation between K value and the oxygen uptake VO ₂ is present. Therefore, variations in the K value can be considered to correspond to variations in oxygen uptake VO _2. That is, if the K value increases at a certain rate, the oxygen uptake VO ₂ can be considered to have increased at the same rate, and if the K value decreases at a certain rate, the oxygen uptake VO ₂ also decreases at the same rate. Can be thought of. As a result, by obtaining the fluctuation of the K value, the fluctuation of the oxygen uptake VO ₂ in each individual can be estimated, and the fluctuation of the exercise ability and its efficiency of each individual can be evaluated.

<Second embodiment>
Next, a second embodiment of the exercise support device according to the present invention will be described with reference to the drawings.
FIG. 8 is a functional block diagram showing a configuration example applied to the exercise support device according to the second embodiment. FIG. 8A is a functional block diagram showing a configuration example of the sensor device, and FIG. 8B is a functional block diagram showing a configuration example of the external display device. Here, the same reference numerals are given to the configurations equivalent to those of the first embodiment described above to simplify the description.

In the first embodiment described above, the sensor device 100 acquires sensor data during exercise, calculates an exercise ability evaluation index such as K value and oxygen uptake VO ₂ based on the sensor data, and displays it externally. The case where the analysis result including the athletic ability evaluation index is displayed by the device 200 has been described. In the second embodiment, the sensor device 100 has only a function of acquiring sensor data during exercise, and the external display device 200 acquires the sensor data from the sensor device 100 during or after the exercise. It has a function to calculate the athletic ability evaluation index based on the sensor data and display the analysis result.

The sensor device 100 applied to the exercise support device according to the present embodiment includes, for example, as shown in FIG. 8A, a sensor unit 110, a speed information acquisition unit 120, a control unit 330, a memory unit 150, and the like. It has an I / F unit 160 and a power supply unit 170. Here, the sensor unit 110, the speed information acquisition unit 120, the memory unit 150, the I / F unit 160, and the power supply unit 170 have the same configurations and functions as those of the first embodiment described above.

The control unit 330 controls various operations in the sensor unit 110, the speed information acquisition unit 120, the memory unit 150, and the I / F unit 160 by executing a predetermined control program. As a result, the sensor device 100 associates at least the sensor data and the speed data acquired during exercise such as running with the time data in the configuration shown in the first embodiment described above (see FIG. 2A). It has a function of sequentially storing in the memory unit 150 and a function of outputting the sensor data and speed data acquired during exercise to the external display device 200 as they are by the I / F unit 160.

As shown in FIG. 8B, for example, the external display device 200 includes an operation unit 210, an I / F unit 220, an arithmetic processing unit 430, a memory unit 240, a display unit 250, a notification unit 260, and the like. It has a power supply unit 270. Here, the operation unit 210, the I / F unit 220, the memory unit 240, the display unit 250, the notification unit 260, and the power supply unit 270 have the same configurations and functions as those in the first embodiment described above. Further, the arithmetic processing unit 430 has the same functions as the arithmetic processing unit 130 shown in the first embodiment described above, and includes the earth's axis estimation unit 432, the grounding detection unit 434, the periodic detection unit 436, and the K value calculation. It has a unit 438 and a VO ₂ estimation unit 440.

By executing a predetermined control program, the arithmetic processing unit 430 can perform a display operation on the display unit 250, a notification operation on the notification unit 260, various data on the memory unit 240, and the like, as in the first embodiment described above. It controls the operation of the entire external display device 200, such as the save / read operation and the operation of capturing sensor data, speed data, etc. from the sensor device 100 in the I / F unit 220. Further, the arithmetic processing unit 430 executes a predetermined algorithm program, and based on the sensor data and speed data output from the sensor unit 110, the exercise ability evaluation index (K value, oxygen intake) of the user US during exercise. A process of calculating or estimating various analysis data related to the exercise state including the quantity VO ₂ ) is executed.

That is, in the present embodiment, the sensor device 100 has a function as a data logger, and the external display device 200 has a K value, an oxygen uptake VO _2, etc. based on the sensor data output from the sensor device 100. It has a function of calculating the motor ability evaluation index of the above and displaying the analysis result on the display unit 250.

As a result, according to the present embodiment, the processing load on the sensor device 100 is significantly reduced, so that the device can be miniaturized and the drive time by the battery can be lengthened. Further, since the external display device 200 provided with the arithmetic processing device having a higher processing capacity than the sensor device 100 can perform the calculation processing of the motor ability evaluation index and the display operation of the analysis result, the arithmetic processing is speeded up. be able to.

In the present embodiment, the case where the external display device 200 calculates the athletic ability evaluation index based on the sensor data or the like output from the sensor device 100 and displays the analysis result has been described. It is not limited to. In the present invention, when the external display device 200 is a smartphone, a wrist device, or the like that the user carries or wears during exercise, the external display device 200 is connected to the sensor device 100 via, for example, the I / F unit 220. A function of controlling various operations (start or end of sensing operation, output or stop of sensor data, etc.) in the sensor device 100 in response to an operation in the operation unit 210 by performing two-way wireless communication between the two. It may have.

Further, in the present embodiment, the arithmetic processing unit 430 of the external display device 200 corresponds to the arithmetic processing unit 130 of the sensor device 100 shown in the first embodiment described above (see FIG. 2A). However, it may have a configuration (see FIG. 5) corresponding to the arithmetic processing unit 130 of the sensor device 100 shown in the modified example of the first embodiment described above.

(Display example of analysis result)
Next, in the exercise support device shown in each of the above-described embodiments, an example of the analysis result displayed on the display unit 250 of the external display device 200 will be specifically described with reference to the drawings.
9 to 17 are diagrams showing a display example of analysis results in the exercise support device according to the present invention.

9 and 10 show changes in K value and oxygen uptake VO2 _, pitch, vertical movement, and slide height ratio with respect to running speed, which are calculated or estimated based on sensor data and speed data acquired in an actual race. It is an analysis result showing. Here, the "Standard protocol" in FIGS. 9 and 10 is an athletic ability evaluation index (K value, oxygen) calculated based on the sensor data acquired when seven runs were carried out at different running speeds in the preliminary practice. It is a characteristic line showing the rate change of the intake amount VO ₂ ). Further, FIGS. 11 to 13 are analysis results showing changes in running speed, pitch, and vertical movement with respect to running distance, which are calculated or estimated based on sensor data and speed data acquired in an actual race.

According to the display example of these analysis results, the form during running was poor in this race, and as shown in FIG. 9, the oxygen uptake VO ₂ (or K value) was compared with that during practice (Standard protocol). You can see that it was getting bigger.

Therefore, in order to find out the cause of such a result, the changes in pitch, vertical movement, and slide height ratio with respect to the running speed are specifically viewed as related indexes, and are shown in FIGS. 10 (a) to 10 (c). As shown, all the analysis results show different tendencies from those during practice (Standard protocol), but the change in pitch with respect to the running speed shown in FIG. 10 (a) is the oxygen uptake VO ₂ (or K value) with respect to the running speed. ) Is relatively similar to the change.

Further, as shown in FIGS. 11 to 13, the oxygen uptake VO ₂ (or K value) has a low correlation with the change in running speed and vertical movement during the race, but is the same for the pitch. It can be seen that the change tendency is high (high correlation).
Therefore, it is presumed that the main reason for the result of this race was that the pitch was larger than usual.

14 to 16 was calculated or estimated based on the sensor data and the velocity data obtained at a different practice of date, an analysis result indicating a K value and the change in oxygen uptake VO ₂ with respect to the running speed. Here, the analysis results shown in FIGS. 14 to 16 are based on the same person as the user US who obtained the correlation between the K value shown in FIG. 3 (a) and the oxygen uptake VO ₂ described above. is there. Here, the equation of the regression line shown in FIG. 3A is expressed as the following equation.
Y = 4.26X + 584.69
Y: K (N / kg / min)
X: VO ₂ (ml / kg / min)

Based on this, the calculation for finding X from Y is expressed as follows.
X = 0.23Y-137.34
By applying the K value of the graph of FIG. 14 to Y of this equation, it is converted into an analysis result showing the change of oxygen uptake VO ₂ with respect to the running speed shown in the graph of FIG.

According to the display examples of these analysis results, as shown in FIGS. 14 and 15, the K value and oxygen uptake during the practice on December 19, 2015 are compared with those during the practice on October 31, 2015. It can be seen that VO ₂ is low. Also, the K value and the oxygen intake VO ₂ during practice May 5, 2016 as compared to when practicing December 19, 2015, although there is no change in the low-speed range, that is lower in the high speed range I understand. From this, it is presumed that the form has improved due to the results of the practice.

Further, as shown in FIG. 16, even when the speeds of 5.4 m / s to 6.2 m / s used in the actual race are kept constant and compared, at the time of practice on October 31, 2015. in comparison, it can be seen that the oxygen intake amount at the time of exercise of the December 19, 2015 VO ₂ is low. In addition, oxygen intake VO ₂ at the time of practice of May 5, 2016 Although the change in the low-speed range is not, it can be seen that is lower in the high-speed range. From this, it is presumed that the form has improved due to the results of the practice.

FIG. 17 is a display example of an alarm notification when a wrist device is applied as an external display device. In this display example, for example, as shown in FIG. 17A, split, mileage, and oxygen uptake VO ₂ calculated or estimated based on, for example, sensor data and speed data acquired during an actual race. The analysis result of the above is displayed as numerical information 254 on the display unit 250 of the list device which is the external display device 200 at any time. Here, as shown in FIG. 17A, when the analysis result displayed as the numerical information 254 is within the preset reference value or allowable range, the character size of the numerical information 254 and the background 252 The emission color is set to the initial state (the reference color is, for example, green). On the other hand, as shown in FIGS. 17B and 17C, when the analysis result displayed as the numerical information 254 deviates from the reference value or the permissible range, the character size of the numerical information 254 is adjusted according to the degree. Is increased, or the emission color of the background 252 is changed to a dangerous color (for example, red) or a warning color (for example, yellow) to notify the user US of a change or abnormality in the exercise state. Here, as a method of notifying the user US, in addition to the display on the display unit 250, the notification unit 260 changes the volume and timbre of the alarm sound, changes the intensity and pattern of vibration, and causes a slight electric shock to the human body. May be given.

The display example as described above is an example, and the present invention is not limited thereto. Further, the analysis result is displayed on the external display device 200 by performing a predetermined arithmetic process on all the acquired sensor data after the user US finishes the running operation, and the analysis result is collectively displayed. Alternatively, a smartphone or a smartphone carried or worn by the user by performing a predetermined arithmetic process when the sensor data is collected for a predetermined time (for example, one cycle) or more during the traveling operation of the user US. The analysis result may be displayed on the wrist device at any time.

As described above, according to the present embodiment, the exercise ability evaluation such as the K value and the oxygen uptake VO ₂ according to the mileage and the passage of time is based on the sensor data acquired in the daily practice and the actual race. Since changes in various analysis data including indexes can be displayed on the display unit 250 as analysis results, the user can appropriately grasp and evaluate the tendency and characteristics of the changes, and can evaluate the movement state and form. It can be used for improvement.
Further, according to the present embodiment, since the notification information can be output according to the degree to which the displayed analysis result deviates from a predetermined reference value or allowable range, changes or abnormalities in the analysis result can be output. Can be used to improve exercise status and form by quickly and surely grasping.

Although some embodiments of the present invention have been described above, the present invention is not limited to the above-described embodiments, but includes the invention described in the claims and the equivalent scope thereof.
Hereinafter, the inventions described in the claims of the original application of the present application will be added.

(Additional note)
[1]
A sensor unit that outputs sensor data corresponding to the operating state of the user's body during mobile operation,
An arithmetic processing unit that estimates the oxygen uptake per unit time of the user based on the sensor data, and
With
The arithmetic processing unit
Based on the sensor data, the average value of the force acting on the unit weight of the user's body per unit time is calculated as the unit motion force.
An exercise support device for estimating the oxygen uptake based on a correlation specific to the user between the unit movement force and the oxygen uptake.

[2]
The arithmetic processing unit
Based on the sensor data, the cycle of the movement operation of the user is detected.
The cumulative value of the force acting on the unit weight of the user's body over the period of the cycle is calculated.
The exercise support device according to [1], wherein the unit motion force is calculated based on the cumulative value.

[3]
In the arithmetic processing unit, the oxygen uptake is regarded as a linear function of the unit operating force, and the coefficients of the linear function in a plurality of users are different from each other.
The arithmetic processing unit stores a specific coefficient of the linear function in the specific user, and when estimating the oxygen uptake of the specific user, the specific coefficient is used. The exercise support device according to [1] or [2], which estimates the oxygen uptake of the user.

[4]
The sensor unit includes an acceleration sensor that detects the acceleration applied to the body in the moving motion and outputs it as acceleration data, and a gyro sensor that detects the angular velocity applied to the body in the moving motion and outputs it as angular velocity data. Have and
The exercise support device according to any one of [1] to [3], wherein the arithmetic processing unit detects a cycle of the movement operation based on either the acceleration data or the angular velocity data.

[5]
The sensor unit is attached in close contact with a part of the human body that moves in response to the movement of the user's torso in response to the user's movement movement [1] to [4]. ] The exercise support device according to any one of.

[6]
The arithmetic processing unit
An average waveform obtained by averaging the waveforms of the sensor data in a plurality of cycles is calculated by setting the interval of the contact timing of one foot of the user in the moving operation as one cycle.
For the period from the ground contact timing of one foot to the ground contact timing of the other foot, a first waveform obtained by averaging the waveforms of the plurality of sensor data is calculated.
A second waveform obtained by averaging the waveforms of a plurality of sensor data was calculated for the period from the contact timing of the other foot to the contact timing of the one foot.
By normalizing the first waveform and the second waveform based on the average waveform, and joining the normalized first waveform and the second waveform so as to be continuous in time. , Generates a normalized one-cycle average waveform in the moving motion, detects the period, and
The exercise support device according to any one of [1] to [5], wherein the motion force is calculated based on the period of the normalized average waveform.

[7]
The exercise support device according to any one of [1] to [6], further comprising a display unit that displays an analysis result including the oxygen uptake as an exercise ability evaluation index in a predetermined display form.

[8]
A sensor unit that outputs sensor data corresponding to the operating state of the user's body during mobile operation,
An arithmetic processing unit that estimates fluctuations in oxygen uptake per unit time of the user based on the sensor data, and
With
The arithmetic processing unit
Based on the sensor data, the average value of the force acting on the unit weight of the user's body per unit time is calculated as the unit motion force.
An exercise support device characterized in that the fluctuation of the oxygen uptake is estimated according to the fluctuation of the unit movement force.

[9]
A step of acquiring the sensor data from a sensor unit that outputs sensor data corresponding to the operating state of the user's body during the moving operation, and
Based on the sensor data, a step of calculating the average value per unit time of the force acting on the unit weight of the user's body as a unit motion force, and
A step of estimating the oxygen uptake of the user based on the correlation peculiar to the user between the unit movement force and the oxygen uptake of the user per unit time of the user.
An exercise support method characterized by including.

[10]
An exercise support program for exercise support devices
The exercise support device has a sensor unit that outputs sensor data corresponding to the operating state of the user's body during the moving motion.
On the computer
The sensor data is acquired from the sensor unit, and the sensor data is acquired.
Based on the sensor data, the average value per unit time of the force acting on the unit weight of the user's body is calculated as the unit motion force.
It is characterized in that the oxygen uptake of the user is estimated based on the correlation peculiar to the user between the unit movement force and the oxygen uptake of the user per unit time of the user. Exercise support program.

100 Sensor equipment 110 Sensor unit 112 Accelerometer 114 Gyro sensor 120 Velocity information acquisition unit 130 Calculation processing unit 132 Ground axis estimation unit 134 Grounding detection unit 136 Period detection unit 138 K value calculation unit 140 VO ₂ estimation unit 144 Left and right grounding detection unit 146 Average Waveform detection unit 150 Memory unit 160 I / F unit 200 External display device 210 Operation unit 220 I / F unit 230 Control unit 240 Memory unit 250 Display unit 260 Notification unit 330 Control unit 430 Calculation processing unit 432 Ground axis estimation unit 434 Grounding detection unit 436 Period detection unit 438 K value calculation unit 440 VO ₂ estimation unit US user

Is mounted on the user's waist, acceleration output by detecting an acceleration in three axial directions perpendicular to each other, as the acceleration data by measuring a change in the operating speed of the said three directions caused by the movement of the user a sensor, by detecting the angular velocity of the rotating direction around each of the three axes, and outputs the angular velocity data to measure the direction of movement of change for the three-axis direction due to the movement of the user A sensor data acquisition unit that acquires the acceleration data and the angular velocity data as sensor data from a sensor having a gyro sensor.
The unit movement force, which is the average value per unit time of the force acting on the unit weight of the user's body, and the oxygen, which is the amount of oxygen that the user ingests for the unit weight per unit time. A correlation table showing the correlation between the intake amount and the intake amount is stored in the storage unit for each user.
An arithmetic processing unit that derives the oxygen uptake of the user associated with the moving operation, and
With
The arithmetic processing unit
On the basis of the waveform showing a time-series change in the vertical component of the resultant acceleration from sensor data, the usage Average time from the ground timing of one of the legs until the next ground timing of the one leg in person The first process to detect
Accompanied by the moving motion based on the unit motion force obtained by substituting the average time detected in the first process into the coefficient in the predetermined calculation formula and the correlation table corresponding to the user. The second process of deriving the oxygen uptake of the user and
And run
The first process is
The waveform corresponding to the period from the contact timing of one foot to the next contact timing of the one foot corresponds to the first period from the contact timing of one foot to the contact timing of the other foot. The waveform is divided into one waveform and a second waveform corresponding to the second period from the contact timing of the other foot to the next contact timing of the one foot, and the waveforms for a plurality of times are applied. A first sub-process in which the first waveform and the second waveform are individually averaged to derive the first average time in the first period and the second average time in the second period.
A second sub-process for deriving the average time by adding the second average time to the first average time, and
An exercise support device characterized by including .

It is an exercise support method in an exercise support device.
Is mounted on the user's waist, acceleration output by detecting an acceleration in three axial directions perpendicular to each other, as the acceleration data by measuring a change in the operating speed of the said three directions caused by the movement of the user a sensor, by detecting the angular velocity of the rotating direction around each of the three axes, and outputs the angular velocity data to measure the direction of movement of change for the three-axis direction due to the movement of the user A sensor data acquisition step of acquiring the acceleration data and the angular velocity data as sensor data from a sensor having a gyro sensor, and
The unit movement force, which is the average value per unit time of the force acting on the unit weight of the user's body, and the oxygen, which is the amount of oxygen that the user ingests for the unit weight per unit time. A correlation table showing the correlation between intake and intake is stored for each user, and the storage steps are stored.
An arithmetic step for deriving the oxygen uptake of the user associated with the moving operation, and
Including
The calculation step is
Based on the waveform showing the time-series change of the vertical component of the acceleration obtained from the sensor data, the average time taken from the contact timing of one of the feet to the next contact timing of the one foot in the user. The first process to detect
Accompanied by the moving motion based on the unit motion force obtained by substituting the average time detected in the first process into the coefficient in the predetermined calculation formula and the correlation table corresponding to the user. The second process of deriving the oxygen uptake of the user and
And run
The first process is
The waveform corresponding to the period from the contact timing of one foot to the next contact timing of the one foot corresponds to the first period from the contact timing of one foot to the contact timing of the other foot. The waveform is divided into one waveform and a second waveform corresponding to the second period from the contact timing of the other foot to the next contact timing of the one foot, and the waveforms for a plurality of times are applied. A first sub-process in which the first waveform and the second waveform are individually averaged to derive the first average time in the first period and the second average time in the second period.
A second sub-process for deriving the average time by adding the second average time to the first average time, and
An exercise support method characterized by including.

On the computer of the exercise support device ,
Acceleration that is attached to the waist of the user and detects accelerations in the three axial directions that are orthogonal to each other to measure changes in the operating velocity in the three axial directions that accompany the movement of the user and output them as acceleration data. By detecting the angular velocity in the rotation direction centered on each of the three axes with the sensor, the change in the operation direction in the three axis directions accompanying the movement operation of the user is measured and output as angular velocity data. A sensor data acquisition unit that acquires the acceleration data and the angular velocity data as sensor data from a sensor having a gyro sensor.
The unit movement force, which is the average value per unit time of the force acting on the unit weight of the user's body, and the oxygen, which is the amount of oxygen that the user ingests for the unit weight per unit time. A storage unit in which a correlation table showing the correlation between intake and intake is stored for each user,
An arithmetic processing unit that derives the oxygen uptake of the user associated with the moving operation ,
To function as
The arithmetic processing unit
Based on the waveform showing the time-series change of the vertical component of the acceleration obtained from the sensor data, the average time taken from the contact timing of one of the feet to the next contact timing of the one foot in the user. The first process to detect
Accompanied by the moving motion based on the unit motion force obtained by substituting the average time detected in the first process into the coefficient in the predetermined calculation formula and the correlation table corresponding to the user. The second process of deriving the oxygen uptake of the user and
And run
The first process is
The waveform corresponding to the period from the contact timing of one foot to the next contact timing of the one foot corresponds to the first period from the contact timing of one foot to the contact timing of the other foot. The waveform is divided into one waveform and a second waveform corresponding to the second period from the contact timing of the other foot to the next contact timing of the one foot, and the waveforms for a plurality of times are applied. A first sub-process in which the first waveform and the second waveform are individually averaged to derive the first average time in the first period and the second average time in the second period.
A second sub-process for deriving the average time by adding the second average time to the first average time, and
An exercise support program characterized by including .

Claims (8)

An acceleration sensor that measures changes in the user's operating velocity during moving motion and outputs it as acceleration data by detecting accelerations in the three axial directions that are orthogonal to each other, and an acceleration sensor in the rotation direction centered on each of the three axes. A sensor data acquisition unit that acquires the acceleration data and the angular velocity data from a sensor having a gyro sensor that measures a change in the traveling direction of the user during the moving operation and outputs it as angular velocity data by detecting the angular velocity. When,
An arithmetic processing unit that estimates the oxygen uptake per unit time of the user based on the acceleration data, and
With
The arithmetic processing unit
Based on either the acceleration data or the angular velocity data, the interval of the contact timing of one foot of the user in the movement operation is detected as one cycle.
An average waveform obtained by averaging the waveforms of the acceleration data in a plurality of cycles is calculated.
For the period from the contact timing of one foot to the contact timing of the other foot, a first waveform obtained by averaging the waveforms of the plurality of acceleration data is calculated.
For the period from the contact timing of the other foot to the contact timing of the one foot, a second waveform obtained by averaging the waveforms of the plurality of acceleration data is calculated.
By normalizing the first waveform and the second waveform based on the average waveform, and joining the normalized first waveform and the second waveform so as to be continuous in time. , Generates a normalized one-cycle average waveform in the moving motion,
The unit motion force is calculated based on the period of the normalized average waveform.
An exercise support device for estimating the oxygen uptake based on a correlation specific to the user between the unit movement force and the oxygen uptake. In the arithmetic processing unit, the oxygen uptake is regarded as a linear function of the unit operating force, and the coefficients of the linear function in a plurality of users are different from each other.
The arithmetic processing unit stores a specific coefficient of the linear function in the specific user, and when estimating the oxygen uptake of the specific user, the specific coefficient is used. The exercise support device according to claim 1, wherein the oxygen uptake of the user is estimated. The sensor according to claim 1 or 2, wherein the sensor is attached in close contact with a part of the human body that moves in response to the movement of the user's torso with respect to the movement of the user. Exercise support device. The exercise support device according to any one of claims 1 to 3, further comprising a display unit that displays an analysis result including the oxygen uptake as an exercise ability evaluation index in a predetermined display form. An acceleration sensor that measures changes in the user's operating velocity during moving motion and outputs it as acceleration data by detecting accelerations in the three axial directions that are orthogonal to each other, and an acceleration sensor in the rotation direction centered on each of the three axes. A sensor data acquisition unit that acquires the acceleration data and the angular velocity data from a sensor having a gyro sensor that measures a change in the traveling direction of the user during the moving operation and outputs it as angular velocity data by detecting the angular velocity. When,
An arithmetic processing unit that estimates fluctuations in oxygen uptake per unit time of the user based on the acceleration data, and
With
The arithmetic processing unit
Based on either the acceleration data or the angular velocity data, the interval of the contact timing of one foot of the user in the movement operation is detected as one cycle.
An average waveform obtained by averaging the waveforms of the acceleration data in a plurality of cycles is calculated.
For the period from the contact timing of one foot to the contact timing of the other foot, a first waveform obtained by averaging the waveforms of the plurality of acceleration data is calculated.
For the period from the contact timing of the other foot to the contact timing of the one foot, a second waveform obtained by averaging the waveforms of the plurality of acceleration data is calculated.
By normalizing the first waveform and the second waveform based on the average waveform, and joining the normalized first waveform and the second waveform so as to be continuous in time. , Generates a normalized one-cycle average waveform in the moving motion,
The unit motion force is calculated based on the period of the normalized average waveform.
An exercise support device characterized in that the fluctuation of the oxygen uptake is estimated according to the fluctuation of the unit movement force. The exercise support device according to any one of claims 1 to 5, wherein the sensor is provided in the exercise support device. An acceleration sensor that measures changes in the user's operating velocity during moving motion and outputs it as acceleration data by detecting accelerations in the three axial directions that are orthogonal to each other, and an acceleration sensor in the rotation direction centered on each of the three axes. A step of acquiring the acceleration data and the angular velocity data from a sensor having a gyro sensor that measures a change in the traveling direction of the user during the moving operation and outputs the angular velocity data by detecting the angular velocity.
Based on either the acceleration data or the angular velocity data, the interval of the contact timing of one foot of the user in the movement operation is detected as one cycle.
An average waveform obtained by averaging the waveforms of the acceleration data in a plurality of cycles is calculated.
For the period from the contact timing of one foot to the contact timing of the other foot, a first waveform obtained by averaging the waveforms of the plurality of acceleration data is calculated.
For the period from the contact timing of the other foot to the contact timing of the one foot, a second waveform obtained by averaging the waveforms of the plurality of acceleration data is calculated.
By normalizing the first waveform and the second waveform based on the average waveform, and joining the normalized first waveform and the second waveform so as to be continuous in time. , Generates a normalized one-cycle average waveform in the moving motion,
A step of calculating a unit motion force based on the period of the normalized average waveform, and
A step of estimating the oxygen uptake based on the user-specific correlation between the unit movement force and the oxygen uptake of the user per unit time.
An exercise support method characterized by including. An exercise support program for exercise support devices
The motion support device measures an acceleration of a user's motion velocity during a moving motion by detecting accelerations in three axial directions orthogonal to each other and outputs the acceleration data as acceleration data, and each of the three axes. The acceleration data and the angular velocity data are obtained from a sensor having a gyro sensor that measures a change in the traveling direction of the user during the moving operation and outputs it as angular velocity data by detecting the angular velocity in the rotation direction around the center. It has a sensor data acquisition unit to acquire
On the computer
The acceleration data and the angular velocity data are acquired from the sensor data acquisition unit.
Based on either the acceleration data or the angular velocity data, the interval of the contact timing of one foot of the user in the movement operation is detected as one cycle.
An average waveform obtained by averaging the waveforms of the acceleration data in a plurality of cycles is calculated.
For the period from the contact timing of one foot to the contact timing of the other foot, a first waveform obtained by averaging the waveforms of the plurality of acceleration data is calculated.
For the period from the contact timing of the other foot to the contact timing of the one foot, a second waveform obtained by averaging the waveforms of the plurality of acceleration data is calculated.
By normalizing the first waveform and the second waveform based on the average waveform, and joining the normalized first waveform and the second waveform so as to be continuous in time. , Generates a normalized one-cycle average waveform in the moving motion,
The unit motion force is calculated based on the period of the normalized average waveform.
An exercise support program characterized in that the oxygen uptake is estimated based on the correlation peculiar to the user between the unit movement force and the oxygen uptake per unit time of the user.

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