阅读说明：本技术 跑法判别装置、跑法判别方法以及程序 (Running method determination device, running method determination method, and program ) 是由 西坂信仪 山本太 弘山勉 于 2020-03-12 设计创作，主要内容包括：跑法判别装置(10)取得用户进行跑步时的运动数据,基于该运动数据来判别用户的跑法。具体地,跑法判别装置(10)基于从测定记录装置(20)取得的3轴方向的加速度数据来算出作为该3轴方向的加速度矢量之和的合成矢量,基于算出的合成矢量来判别用户的跑法。(A running method determination device (10) acquires exercise data of a user during running and determines a running method of the user based on the exercise data. Specifically, the running method determination device (10) calculates a synthetic vector which is the sum of the acceleration vectors in the 3-axis direction on the basis of the acceleration data in the 3-axis direction acquired from the measurement recording device (20), and determines the running method of the user on the basis of the calculated synthetic vector.)

1. A running method determination device is characterized by comprising:

an acquisition unit that acquires exercise data when a user runs; and

a determination unit that determines a running method of the user based on the motion data acquired by the acquisition unit.

2. The running method discriminating device according to claim 1,

acceleration data in a plurality of axial directions is contained in the motion data,

the determination unit may calculate a composite vector that is a sum of the acceleration vectors in the plurality of axial directions based on the acceleration data in the plurality of axial directions acquired by the acquisition unit, and determine the running method of the user based on the calculated composite vector.

3. The running method discriminating device according to claim 2,

the acquisition unit acquires the motion data every given time,

the determination unit calculates a composite vector for each of the predetermined times, divides the plurality of calculated composite vectors into a plurality of stages with respect to a time direction, and determines the running method of the user based on a determination criterion for each stage.

4. A running method discriminating device according to claim 3,

the plurality of stages include at least any one of a section subjected to braking, a section generating propulsive force, a section kicked by a foot, and a section in a dead space with respect to forward running by the running.

5. The running method discriminating device according to claim 3 or 4,

the determination criterion is created based on the magnitude of the synthesized vector and/or the angle of the synthesized vector at the specific timing of each stage.

6. A running method discriminating device according to claim 5,

the specific timing includes at least any one of a timing at which the specific composite vector is calculated, a timing at which the ground is grounded, a timing at which the ground is lifted, a timing at which the upper body is sunk to the maximum amount, a timing at which the acceleration vector is inverted with respect to the axial direction, a timing at which the rotation angle of the waist is maximized, and a timing at which the rotation angular velocity of the waist is minimized.

7. A running method discriminating device according to any one of claims 1 to 6,

the determination means determines the running method of the user based on the exercise data acquired by the acquisition means for each forward cycle indicating a period from when one foot is grounded to when the next foot is grounded.

8. A running method discriminating device according to any one of claims 1 to 7,

the running method determination device includes: a specifying unit that specifies a specific location at which the running is performed,

the discrimination unit discriminates the running method of the user based on the motion data at the specific location specified by the specification unit.

9. A running method discriminating device according to any one of claims 1 to 8,

the running method determination device includes: and a storage unit that stores the running method of the user determined by the determination unit.

10. The running method discriminating device according to claim 9,

the running method determination device includes: and a transmission unit that transmits the running method of the user stored in the storage unit to an external device different from the running method determination device.

11. The running method discriminating device according to any one of claims 1 to 10,

the determination means determines, when the sole of the user is grounded, from which portion of the sole the user is grounded, as a running method of the user.

12. The running method discriminating device according to claim 11,

the determination means determines, when the sole of the user is grounded, any one of a heel strike method in which the user lands from the heel, a midfoot run method in which the user lands with the sole in a horizontal state, and a forefoot run method in which the user lands from the toe as the user's run method.

13. A running method discrimination method is characterized by comprising the following steps:

acquiring exercise data of a user during running;

and judging the running method of the user based on the acquired motion data.

14. A program for causing a computer of a running method determination device to function as:

an acquisition unit that acquires exercise data when a user runs; and

a determination unit that determines a running method of the user based on the motion data acquired by the acquisition unit.

Technical Field

The present invention relates to a running method determination device, a running method determination method, and a program for determining a running method of running.

Background

Conventionally, there has been disclosed a training system that receives data from exercise monitoring for measuring performance (performance) such as speed, pace, distance, and the like of a runner during running, and provides feedback including training information as to whether or not a user satisfies a specific training criterion to the user based on the received data (see, for example, japanese patent laid-open No. 2012 and 228568).

Disclosure of Invention

Generally, in order to improve the running ability of the user, efficient training in accordance with the running characteristics of the user is required.

However, the feedback provided by the training system disclosed in japanese patent laid-open No. 2012-228568 is insufficient as information for efficiently performing training in accordance with the improvement of the running ability.

The present invention has been made in view of the above problems, and an object of the present invention is to provide a running method determination device, a running method determination method, and a program that can efficiently perform training for improving the running ability of a user.

Means for solving the problems

The running method determination device of the present invention is characterized by comprising: an acquisition unit that acquires exercise data when a user runs; and a determination unit configured to determine a running method of the user based on the motion data acquired by the acquisition unit.

According to the invention, the training can be efficiently performed for the improvement of the running ability of the user.

Drawings

Fig. 1 is a block diagram showing a running law determination system according to an embodiment of the present invention.

Fig. 2 is an explanatory diagram showing a state of the user equipment measurement recording device.

Fig. 3A is a block diagram showing a functional configuration of the running method determination device.

Fig. 3B is a block diagram showing a functional configuration of the measurement recording apparatus.

Fig. 4 is a diagram showing an example of exercise analysis data used in the discrimination of the running method.

Fig. 5 is a diagram showing steps in the case of discriminating the running method.

Fig. 6 is a list showing the respective identified running methods.

Fig. 7A is a diagram for explaining the features of the discrimination running method.

Fig. 7B is a diagram for explaining the features of the discriminative running method.

Fig. 7C is a diagram for explaining the features of the discrimination running method.

Fig. 7D is a diagram for explaining the features of the discrimination running method.

Fig. 7E is a diagram for explaining the features of the discrimination running method.

Detailed Description

Embodiments according to the present invention will be described in detail below with reference to the drawings. The present invention is not limited to the illustrated examples.

Running method judging system

The structure of the present embodiment will be described with reference to fig. 1 and 2. First, the running method determination system 1 according to the present embodiment will be described with reference to fig. 1.

Fig. 1 is a block diagram showing a running method determination system 1 according to the present embodiment.

As shown in fig. 1, the running method determination system 1 includes a running method determination device 10 and a measurement recording device 20.

The running method determination device 10 is a device for determining the running method of a user (measurement subject) by using the motion data (for example, acceleration data in the 3-axis direction) of the user acquired from the measurement recording device 20.

Examples of the race method determination device 10 include a smartphone, a notebook PC (Personal Computer), a desktop PC, and a tablet PC. Hereinafter, the running method determination device 10 will be described as a smartphone.

The measurement recording device 20 is a device for measuring and recording the acceleration in the 3-axis direction when the user runs. The measurement recording apparatus 20 has a belt B attached thereto as shown in fig. 2, for example, and the measurement recording apparatus 20 is fixed at the position of the user's waist by the belt B. Here, the left-right direction is an X axis, the front-rear direction is a Y axis, and the up-down direction is a Z axis. On the X axis, the left-hand direction is positive, and the right-hand direction is negative. On the Y axis, the opposite direction to the traveling direction is positive, and the traveling direction is negative. On the Z axis, the upward direction is positive, and the downward direction is negative.

The measurement recording device 20 may have a clip instead of the belt B, and the measurement recording device 20 may be fixed to the waist of the user by sandwiching the user's running clothes with the clip.

Running method judging device

Next, the functional configuration of the running method discriminating device 10 will be described with reference to fig. 3A. Fig. 3A is a block diagram showing a functional configuration of the running method determination apparatus 10.

The running method determination device 10 includes a CPU (Central Processing Unit) 11, an operation Unit 12, a RAM (Random Access Memory) 13, a display Unit 14, a storage Unit 15, and a communication Unit 16. Each unit of the running method determination apparatus 10 is connected via a bus 17.

The CPU (acquisition unit, determination unit, derivation unit) 11 controls each unit of the running method determination apparatus 10. The CPU11 reads out a designated program from among the system program and the application programs stored in the storage unit 15, develops the program into the RAM13, and executes various processes in cooperation with the program.

The operation unit 12 includes, for example, a touch panel, receives a touch input from a user, and outputs operation information to the CPU 11.

The touch panel is formed integrally with the display unit 14, and detects XY coordinates of a contact position of a user on the display unit 14 by various methods such as a capacitance method, a resistance film method, and an ultrasonic surface acoustic wave method. Then, the touch panel outputs a position signal relating to the XY coordinates of the contact position to the CPU 11.

The RAM13 is a volatile memory and forms a work area for temporarily storing various data and programs.

The Display unit 14 is configured by an LCD (Liquid Crystal Display), an EL (Electro Luminescence) Display, or the like, and performs various displays in accordance with Display information instructed from the CPU 11.

The storage unit 15 (storage means) includes, for example, a flash memory, an EEPROM (Electrically Erasable and Programmable ROM), an HDD (Hard Disk Drive), and the like. The storage unit 15 stores a system program executed by the CPU11, an application program, data necessary for executing the program, and the like. The storage unit 15 stores therein the running method and exercise analysis data (see fig. 4) determined by the execution of the running method determination process (see fig. 5) described later.

The communication unit 16 (transmission means) receives exercise data during training for running from the measurement recording device 20, or transmits the determined running method and exercise analysis data stored in the storage unit 15 to an external device different from the running method determination device 10 and the measurement recording device 20, and is, for example, a communication unit using a wireless standard such as Bluetooth (registered trademark), or a wired communication unit such as a USB terminal.

Measuring and recording device

Next, the functional structure of the inside of the measurement recording apparatus 20 will be described with reference to fig. 3B. Fig. 3B is a block diagram showing a functional configuration of the measurement recording apparatus 20.

As shown in fig. 3B, the measurement recording apparatus 20 includes a CPU21, an operation unit 22, a RAM23, a sensor unit 24, a display unit 25, a storage unit 26, and a communication unit 27. The measurement recording device 20 is connected to each other through a bus 28.

The CPU21 controls each unit of the measurement recording apparatus 20. The CPU21 reads out a designated program from among the system program and the application program stored in the storage unit 26, develops the program in the RAM23, and executes various processes in cooperation with the program.

The operation unit 22 includes a power button (not shown) for switching on/off of power, a start/stop button (not shown) for instructing start/stop of data acquisition, and the like, and the CPU21 controls each unit based on an instruction from the operation unit 22.

The RAM23 is a volatile memory and forms a work area for temporarily storing various data and programs.

The sensor unit 24 includes a motion sensor capable of detecting the movement of the measurement recording device 20, such as a 3-axis acceleration sensor, a gyroscope sensor, and a geomagnetic sensor, and a GPS receiver capable of acquiring positional information of the measurement recording device 20, and outputs the measurement result to the CPU 21.

The display unit 25 includes a plurality of LED lamps, and is a display unit capable of displaying a transmission state of data (for example, whether data is being transmitted), an on/off state of the GPS receiver, and the like.

The storage unit 26 includes a flash memory, an EEPROM, and the like. The storage unit 26 stores a system program executed by the CPU21, an application program, data necessary for executing these programs, and the like. The storage unit 26 stores exercise data (e.g., acceleration data in the 3-axis direction) during running. In addition, the acceleration data in the 3-axis direction is sampled at a given sampling period (e.g., 200 Hz).

The communication unit 27 transmits the exercise data during running to the running method determination device 10 under the control of the CPU21, and is, for example, a communication unit that adopts a wireless standard such as Bluetooth (registered trademark) or a wired communication unit such as a USB terminal.

Judgment and processing of running method

Next, a running method determination process executed in the running method determination apparatus 10 will be described with reference to fig. 4 to 7. Fig. 4 is a diagram showing an example of exercise analysis data used in the discrimination of the running method. Fig. 5 is a diagram showing steps in the case of discriminating the running method. Fig. 6 is a list showing the respective identified running methods. Fig. 7A to 7E are diagrams for explaining the features of the respective running methods determined.

First, the motion analysis data used when the running method is discriminated will be described with reference to fig. 4. The motion analysis data is derived by the running method determination device 10 based on the motion data (acceleration data in the 3-axis direction) acquired from the measurement recording device 20.

The exercise analysis data shown in fig. 4 indicates exercise analysis data at a certain point when running. That is, when the exercise data is continuously acquired by the measurement recording device 20 from the start of running to the end of running, the running method determination device 10 can derive the exercise analysis data at all the points from the start of running to the end of running based on the exercise data, and thereby can determine the running method at each of the points.

As shown in fig. 4, the motion analysis data is data in which a composite vector of an acceleration vector (vertical direction) of the Z axis (see fig. 2) and an acceleration vector (horizontal direction) of the Y axis (see fig. 2) is plotted such that the horizontal axis represents elapsed time and the time of each sample point is taken as an origin. That is, the change of the composite vector in units of elapsed time is shown, the length of the segment representing the composite vector (the value of the acceleration of the composite vector) shows the magnitude of the acceleration, the inclination of the segment representing the composite vector (the angle of the composite vector) is inclined in the direction in which the elapsed time reverses with the time of the sampling point as the origin, the acceleration acts as a brake with respect to running, the inclination of the segment representing the composite vector (the angle of the composite vector) is inclined in the direction in which the elapsed time advances with the time of the sampling point as the origin, and the acceleration acts as a propulsive force with respect to running. The angle of the synthetic vector is an angle (rotation angle) when a vector diameter (half-line) extending leftward on the horizontal axis is rotated clockwise to overlap the synthetic vector with the time of the corresponding sampling point of the synthetic vector as the origin. Here, regarding the elapsed time on the horizontal axis, the time of the forward cycle (the period from the time when one foot (for example, the left foot) is grounded to the time when the next foot is grounded) by the amount of 1 cycle is converted (normalized) to 400 points, the timing of the start of the forward cycle is set to sample point "0", and the timing of the end of the forward cycle is set to sample point "399".

The running method determination in the present application is performed based on the value of the acceleration of the above-described composite vector and/or the angle of the composite vector at a specific timing in each stage by dividing a certain forward cycle of one foot (for example, the left foot) of the above-described motion analysis data into 2 stages of a section in which braking is applied and a section in which propulsion is exerted.

Next, the running method determination processing in the present application will be described in detail with reference to fig. 5.

As shown in fig. 5, the running method determination device 10 first determines, as the 1 st determination, that the acceleration value of the a-th (e.g., 2-th) composite vector in the braked section of the certain forward cycle of one foot (e.g., the left foot) of the motion analysis data is less than the 1 st threshold value (e.g., 13 m/s)²) Whether the threshold value is not less than 1 st threshold value or less than 2 nd threshold value (for example, 17 m/s)²) Or above the 2 nd threshold. Here, for example, the 2 nd synthesized vector is a synthesized vector of a sampling point "1" in fig. 4. In the 1 st determination, the running method determination is performed based on the value of the acceleration of the synthesized vector at the timing of calculating the a (e.g., 2) th synthesized vector of the section subjected to braking in a certain forward cycle of one foot (e.g., the left foot).

Next, the running method determination device 10 determines as a 2 nd determination whether the value of the angle of the B-th (e.g., 5 th) piece of the synthesized vector in the section subjected to braking in a certain forward cycle of one foot (e.g., the left foot) of the motion analysis data is less than a 3 rd threshold value (e.g., 45 degrees) or equal to or greater than the 3 rd threshold value. Here, for example, the 5 th synthesized vector is a synthesized vector of the sampling point "4" in fig. 4.

Further, the running method determination device 10 determines as the 3 rd determination that the acceleration value of the B (e.g., 5) th synthesized vector in the braked section of the certain forward cycle of one foot (e.g., the left foot) of the motion analysis data is less than the 4 th threshold value (e.g., 30 m/s)²) Or is equal to or higher than the 4 th threshold. In the above 2 nd to 3 rd determinations, the running method determination is performed based on the value of the acceleration of the synthetic vector at the timing of the B (e.g., 5 th) synthetic vector in the section subjected to braking in a certain forward cycle of one foot (e.g., the left foot) and the angle of the synthetic vector.

Next, the running method determination device 10 determines as a 4 th determination whether the value of the angle of the maximum braked composite vector in the braked section in a certain forward cycle of one foot (for example, the left foot) of the motion analysis data is less than a 5 th threshold (for example, 60 degrees) or equal to or greater than the 5 th threshold. Here, the synthetic vector of the maximum braking is a synthetic vector in which the magnitude of the acceleration is the maximum among synthetic vectors acting as braking. In the 4 th determination, the running method determination is performed based on the angle of the synthetic vector at the timing when the synthetic vector in the section subjected to braking in a certain forward cycle of one foot (for example, the left foot) is calculated to have the largest magnitude.

Next, the running method determination device 10 determines as a 5 th determination whether the value of the angle of the composite vector of the maximum propulsion acceleration in the section in which the propulsion is exerted on one foot (for example, the left foot) of the motion analysis data is less than a 6 th threshold (for example, 100 degrees), greater than or equal to the 6 th threshold, less than a 7 th threshold (for example, 110 degrees), or greater than or equal to the 7 th threshold. Here, the synthetic vector of the maximum propulsion acceleration means a synthetic vector in which the magnitude of acceleration is the maximum among synthetic vectors acting as the propulsion force.

In the 5 th determination, the running method determination is performed based on the angle of the synthetic vector at the timing when the synthetic vector in the section exhibiting propulsive force in a certain forward cycle of one foot (for example, the left foot) is calculated to have the largest magnitude.

As a result, as shown in fig. 6, the running method determination apparatus 10 can determine one pattern from the 3 types in the 1 st determination, determine one pattern from the 2 types in each of the 2 nd determination, the 3 rd determination, and the 4 th determination, determine one pattern from the 3 types in the 5 th determination, determine one braking section type from among the 5 types of braking section types of the inverted L type/wide V type/gradual increase type/uniform V type/trapezoid as a running method, and determine one detailed classification from among detailed classifications (inverted L1 to 18 if the inverted L type is the wide V1 to 27 if the wide V type is the gradual increase type, 1 to 9 if the uniform V type is the uniform V1 to 9, and a total 72 of the trapezoids 1 to 9 if the trapezoid type is the uniform V type).

Here, the inverted L-shape is a running method characterized in that the inverted L-shape is formed based on the shapes of the composite vector AccA of the maximum propulsion acceleration and the composite vector AccB of the maximum braking as shown in fig. 7A. The inverted-L running method is classified into a heel-strike running method in which a heel is struck.

The wide V-shape is a running method characterized in that a V-shape having a large lateral spread is formed by the composite vector AccA of the maximum propulsion acceleration and the composite vector AccB of the maximum braking as shown in fig. 7B. The wide V-shaped running method is classified into a midfoot running method in which the foot lands in a horizontal state.

The uniform V-shape is a running method characterized in that a resultant vector AccA of the maximum propulsion acceleration and a resultant vector AccB of the maximum braking form a V-shape extending uniformly in the right and left directions, as shown in fig. 7C. The uniform V-type running method is classified into a midfoot running method as in the wide V-type running method, but can be classified into a midfoot running method near the forefoot as a detailed classification.

The incremental type is a running method characterized in that the contour based on each synthetic vector is continuously raised, as shown in fig. 7D. This incremental running method is classified as a forefoot running method in which the foot is landed from the toe.

The trapezoidal shape is a running method characterized in that the outline based on each synthetic vector is a trapezoidal shape, as shown in fig. 7E. This trapezoidal running method is classified into a forefoot running method as in the incremental running method, but may be classified into a forefoot running method in which the flexion of the knee joint is large as a detailed classification.

Then, the running method determination device 10 displays the result of the determination (for example, the braking section type, the detailed classification) and/or the running method classification (heel strike running method, midfoot running method, forefoot running method) on the display unit 14.

In addition, the running method determination device 10 may display the motion analysis data showing the synthetic vector shown in fig. 4 together with the result of the determination (for example, the braking section type, the detailed classification), and the running method classification (the heel strike running method, the midfoot running method, and the forefoot running method) on the display unit 14, so that the user can visually understand the type of the running of the user.

Further, the running method determination device 10 may store the exercise analysis data of the first-class runner and display the exercise analysis data of the first-class runner of the same type as the first-class runner along with the exercise analysis data of the first-class runner, thereby visually understanding the comparison between the running of the first-class runner and the ideal running.

Further, the running method determination device 10 may present advice for guiding the running method more appropriately, strengthen the exercise, or present a risk of injury based on the result of the determination (for example, the braking section type, the detailed classification), or the running method classification (heel strike running method, midfoot running method, forefoot running method).

As described above, according to the present embodiment, the running method determination device 10 acquires the exercise data of the user when running, and determines the running method of the user based on the exercise data. Specifically, the running method determination device 10 calculates a synthetic vector which is a sum of acceleration vectors in the 3-axis direction based on the acceleration data (motion data) in the 3-axis direction acquired from the measurement recording device 20, and determines the running method of the user based on the calculated synthetic vector. Therefore, according to the running method determination device 10, since the running method of the user can be objectively determined, the user can easily understand the determined running method and the running method can be efficiently corrected. As a result, the user can efficiently perform training for improving the running ability.

Further, the running method discriminating device 10 calculates a composite vector for each predetermined time, divides the plurality of calculated composite vectors into a plurality of stages with respect to the time direction, and discriminates the running method of the user based on the criterion for each stage, so that the running method of the user can be discriminated more objectively. Therefore, according to the running method determination device 10, the user can understand the determined running method more easily, and the running method can be corrected more efficiently. As a result, the user can more efficiently perform training for improving the running ability.

Further, the running method determination device 10 determines the running method of the user based on the above-mentioned motion data for each preceding cycle indicating a period from when one foot is grounded to when the next foot is grounded, and thus can objectively and in detail determine the running method of the user.

When the sole of the user is grounded, the running method determination device 10 determines from which portion of the sole the ground is to be grounded as the running method of the user. Specifically, when the sole of the user is grounded, the running method determination device 10 determines, as the running method of the user, any one of a heel-strike method in which the user lands from the heel, a midfoot-run method in which the user lands with the sole in a horizontal state, and a forefoot-run method in which the user lands from the toe. Therefore, according to the running method discriminating device 10, since the landing type of the user can be objectively discriminated, the user can easily understand the discriminated landing type and the landing type can be efficiently corrected. As a result, the user can efficiently perform training for improving the running ability.

While the embodiments of the present invention have been described above, the present invention is not limited to the embodiments, and various modifications can be made without departing from the scope of the invention.

For example, in the above embodiment, a certain forward cycle of one foot (for example, the left foot) of the exercise analysis data is divided into 2 stages, i.e., a braking-applied section and a propulsion-force-exerted section, but the exercise analysis data may be further divided into a plurality of stages, i.e., a kicked-out section of the foot, a dead-space section, and the like.

In the above-described embodiment, as the timing for performing the running method determination, the timing for calculating the second specific synthetic vector, the timing for calculating the synthetic vector for the maximum braking, and the timing for calculating the synthetic vector for the maximum propulsion acceleration are employed, but alternatively or in addition, timings such as the timing for grounding, the timing for leaving the ground, the timing for the maximum sinking of the upper body, the timing for the acceleration vector to turn back with respect to the axial direction, the timing for the maximum rotation angle of the waist, and the timing for the minimum rotation angular velocity of the waist may be employed.

Further, not only the running method determination for one foot (for example, the left foot) but also the running method determination for the left and right feet can be performed.

In the above embodiment, the running method determination device 10 determines the running method of the user using the exercise data of the user acquired from the measurement recording device 20, but the running method determination device 10 may have the same function as the measurement recording device 20, measure the exercise data of the user in the running method determination device 10 itself, and determine the running method when the user runs using the measured exercise data.

In the above-described embodiment, the case where the measurement recording device 20 continuously acquires the acceleration data (exercise data) in the 3-axis direction until the start of running and the end thereof has been described, but the acceleration data in the 3-axis direction may be sampled at least by the amount of 1 cycle of the preceding cycle at a specific point (for example, a point 1km from the starting point, a point 5km, a point 10km, a point 30 minutes after the starting point, a point 1 hour after, a point 2 hours after, etc.) set in advance by a user operation. Then, the running method determination device 10 may derive the motion analysis data at each of the specific points, and may determine the running method at each of the specific points based on the motion analysis data.

In the above embodiment, the running method determination device 10 displays the result of the determination of the running method on the display unit 14, but for example, the result of the determination of the running method may be displayed on the display unit 14 together with a graph (see fig. 4) of the exercise analysis data. In this case, the resultant vectors of the graph of the motion analysis data may be displayed by dividing them (for example, only the resultant vectors of even-numbered sample points may be displayed).

In the above embodiment, the running method determination device 10 includes the display unit 14, and the display unit 14 displays the result of the determination of the running method and the graph of the exercise analysis data, but the determined running method and the exercise analysis data stored in the running method determination device 10 may be transmitted to an external device different from the running method determination device 10 and the measurement recording device 20 via the communication unit 16, and the result of the determination of the running method and the graph of the exercise analysis data may be displayed on the external device.

The embodiments of the present invention have been described above, but the scope of the present invention is not limited to the above embodiments, and includes the scope of the invention described in the claims and the equivalent scope thereof.

Industrial applicability

The present invention has industrial applicability in the field of exercise support for supporting the improvement of running ability of a user.