JP6781200B2 - Exercise support system and program - Google Patents

Description

The present disclosure relates to exercise support systems and programs, and more particularly to exercise support systems that output information for the acquisition of a subject's motor movements and programs that are executed by a computer to output such information.

Conventionally, various techniques have been proposed for automatically determining a pattern of a subject's motor movement. For example, Japanese Patent No. 5314224 (Patent Document 1) acquires physical exercise information about a user running on a treadmill, extracts features from the acquired physical exercise information, and performs a given calculation on the extracted features. We propose a running form diagnostic system that calculates the running form score of the user by applying it to the formula.

Japanese Patent No. 5314224

On the other hand, more direct information may be required as to whether the subject's movement is the correct movement for a particular motor movement.

The present disclosure has been conceived in light of such circumstances and its purpose is to provide the subject with direct information about a particular motor movement.

According to certain aspects of the present disclosure, an exercise support system is provided that outputs information for the subject to acquire motor movements. In the exercise support system, an output unit that outputs information, an exercise information acquisition unit that acquires exercise information detected by a sensor attached to the subject, and an exercise information acquired by the exercise information acquisition unit are set for exercise motion. It is provided with a control unit that outputs information from the output unit when the threshold value is exceeded.

The control unit may output information from the output unit in response to the movement information acquisition unit acquiring the movement information.

The movement information may be acquired in a specific phase in the movement, including the movement of the arm, which is important for performing the movement correctly.

The motor motion may include at least one type of motion of running, jumping, and throwing.

The motor motion may include a running motion. The exercise information may include information representing the flexion or extension of the shoulder joint of the subject with the elbow flexed.

The motion information includes the acceleration along at least one axis in the longitudinal axis of the subject's arm and the axis along the width of the subject's wrist, and the angular velocity around the axis penetrating the subject's palm. At least one of them may be included.

The motor motion may include a jumping motion. The motion information may include information indicating the change from the flexion position to the extension position of the shoulder joint of the subject.

The motion information includes the acceleration of the axis along the longitudinal direction of the subject's arm, and the angular velocity around the axis along at least one of the axis along the width direction of the subject's wrist and the axis penetrating the subject's palm. At least one of them may be included.

The kinetic motion may include a throwing motion. The motion information may be information representing a motion of pulling the upper arm backward by extending, abducting, or abducting the shoulder joint of the subject.

The motion information includes acceleration along at least one axis along the width direction of the subject's wrist and an axis along the direction penetrating the subject's palm, and angular velocity around the axis along the width direction of the subject's wrist. , At least one of them may be included.

The motion information acquisition unit may be configured by a housing mounted on the arm of the subject, which is integrally configured with the sensor.

The exercise support system may further include a housing that includes a sensor and is worn on the subject's arm. The motion information acquisition unit may include a communication circuit capable of communicating with the sensor.

The control unit may accept the designation of one type of exercise movement out of two or more types of movement movements, and output information from the output unit using the threshold value set for the specified type of movement movement.

According to other aspects of the disclosure, a program executed by a computer is provided. The program includes a step of acquiring motion information detected by a sensor attached to the subject and a step of determining whether or not the acquired motion information exceeds a threshold set for the subject's motion motion. When it is determined that the exercise information exceeds the threshold value, the step of outputting the information and the step of outputting the information are executed.

According to the present disclosure, when the motion information detected by the sensor attached to the subject exceeds the threshold value set for a given motion motion, the information is output. Thereby, the subject can directly judge whether or not the motion of the subject is the correct motion for a given motor motion based on the information output.

It is a figure which shows the subject who attached the sensor for acquiring the exercise information. It is a figure for demonstrating an example of the motion information detected by the sensor in the support device 100 of FIG. It is a figure which shows an example of the hardware composition of the support device 100. It is a figure which shows an example of the functional block of an exercise support system. It is a figure which shows the series flow of "running motion" of a subject in each of two kinds of motion patterns. It is a figure which shows an example of the detection output of a sensor when a correct "running motion" is repeated. It is a flowchart of the process executed for information output about "running motion" using motion information. It is a figure which shows the series flow of "jumping motion" of a subject in each of two kinds of motion patterns. It is a figure which shows an example of the detection output of a sensor when a correct "jumping motion" is performed. It is a flowchart of the process executed for information output about "jumping motion" using motion information. It is a figure which shows the series flow of "throwing motion" of a subject in each of two kinds of motion patterns. It is a figure which shows an example of the detection output of a sensor when a correct "throwing operation" is performed. It is a flowchart of the process executed for information output about "throwing motion" using motion information. It is a figure which shows another example of the structure of an exercise support system. It is a figure which shows typically the hardware composition of the computer 500. It is a figure which shows an example of the detection direction of acceleration and angular velocity in the terminal used as a support device 100. It is a figure which shows an example of the screen which accepts the setting of the detection axis in the terminal used as a support device 100. It is a figure for demonstrating the exercise support system which provides the information about the exercise motion of a subject using a piezoelectric sensor. It is a figure which shows an example of the structure of the piezoelectric sensor unit 110.

Hereinafter, embodiments relating to the exercise support system will be described with reference to the drawings. In the following description, the same parts and components are designated by the same reference numerals. Their names and functions are the same. Therefore, the detailed description of these will not be repeated.

[Overview of exercise support system]
FIG. 1 is a diagram showing a subject wearing a sensor for acquiring motion information. As shown in FIG. 1, the subject 900 is equipped with a support device 100 in order to acquire information about the subject's motor movements. The support device 100 is an example of an exercise support system, and includes a sensor for acquiring exercise information of the subject 900.

FIG. 2 is a diagram for explaining an example of motion information detected by the sensor in the support device 100 of FIG. FIG. 2 shows an enlarged view of a part of the arm AR of the subject 900 wearing the support device 100.

In the example of FIG. 2, the sensors in the support device 100 (acceleration sensor 41 and gyro sensor 42, which will be described later) detect the acceleration of each axis and the angular velocity around each axis for the three axes. Of the three axes (X-axis, Y-axis, Z-axis) shown in FIG. 2, the X-axis represents the direction along the longitudinal direction of the arm AR. The Y-axis represents the width direction of the subject's wrist. The Z-axis represents the direction through which the subject's palm is pierced.

In the present specification, each of "Ax", "Ay", and "Az" is used to describe the detection output of acceleration in the directions along the X-axis, Y-axis, and Z-axis, respectively. Further, each of "Gx", "Gy", and "Gz" is used to describe the detection output of the angular velocity in the rotation direction around each of the X-axis, Y-axis, and Z-axis.

The support device 100 uses at least one of the above three types of acceleration and three types of angular velocity information to output information for guiding a given type of motor movement of the subject to a correct mode. In one example, an expert will determine if a given action is the correct action. More specifically, the support device 100 outputs the above information using the threshold value. In certain embodiments, the threshold is generated using the motion information acquired in a motion that the expert deems correct. In other embodiments, the expert himself may set a threshold that will be acquired in the correct operation. The support device 100 further outputs information representing the result of the determination. The type of motion determined by the support device 100 is, for example, a "running motion", a "jumping motion", or a "throwing motion".

[Hardware configuration]
FIG. 3 is a diagram showing an example of the hardware configuration of the support device 100. The support device 100 may be a dedicated terminal or may be realized as one function of a multifunctional terminal such as a smartphone. An example of the configuration of the support device 100 will be described with reference to FIG.

The support device 100 includes a CPU (Central Processing Unit) 20, an antenna 23, a communication device 24, an input switch 25, a flash memory 27, a RAM (Random Access Memory) 28, and a ROM (Read-Only Memory) 29. , Memory card drive device 30, microphone 32, speaker 33, audio signal processing circuit 34, LED (Light Emitting Diode) 36, communication interface 37, vibrator 38, acceleration sensor 41, and gyro sensor 42. And. A memory card 31 may be mounted on the memory card drive device 30.

The CPU 20 executes a process for controlling the operation of the support device 100 based on an instruction given to the support device 100. The signal received by the antenna 23 is front-end processed by the communication device 24, and the processed signal is sent to the CPU 20.

The input switch 25 is, for example, a touch sensor or a hardware button, and receives an input of a command to the support device 100. The signal corresponding to the input command is input to the CPU 20.

The audio signal processing circuit 34 inputs the voice input to the microphone 32 to the CPU 20 after performing predetermined processing. The audio signal processing circuit 34 also outputs audio from the speaker 33 in accordance with a command from the CPU 20.

The flash memory 27 stores data sent from the CPU 20. The CPU 20 executes a program stored in a storage device such as a flash memory 27.

The RAM 28 temporarily holds data or the like generated by the CPU 20. The ROM 29 stores a program or data for causing the support device 100 to execute a predetermined operation. The CPU 20 reads the program or data from the ROM 29 and controls the operation of the support device 100.

The memory card drive device 30 reads the data stored in the memory card 31 and sends it to the CPU 20. The CPU 20 may execute the program stored in the memory card 31. The memory card drive device 30 writes the data output by the CPU 20 into the storage area of the memory card 31.

The LED 36 emits light based on the signal output from the CPU 20. In a certain aspect, the communication interface 37 communicates with an external device according to standards such as WiFi (Wireless Fidelity), Bluetooth (registered trademark), and NFC (Near Field Communication). In another aspect, the communication interface 37 accepts the attachment of a cable for data communication. The communication interface 37 transmits a signal output from the CPU 20. Alternatively, the communication interface 37 transmits data included in the signal received from the outside of the support device 100 to the CPU 20.

The vibrator 38 executes an oscillation operation at a predetermined frequency based on the signal output from the CPU 20.

The acceleration sensor 41 detects the acceleration acting on the support device 100. In a certain aspect, the acceleration sensor 41 is realized as an acceleration sensor that detects acceleration along each of the three axes (X-axis, Y-axis, and Z-axis in FIG. 2). The gyro sensor 42 detects the angular velocity acting on the support device 100, and detects the angular acceleration around each of the three axes (X-axis, Y-axis, and Z-axis in FIG. 2). The acceleration and angular velocity detected by each of the acceleration sensor 41 and the gyro sensor 42 are input to the CPU 20.

[Functional block]
FIG. 4 is a diagram showing an example of functional blocks of the exercise support system.

In FIG. 4, the sensor unit 410, the determination unit 420, the threshold storage unit 430, and the output unit 440 are shown as the functions of the exercise support system 400 (in the example of FIGS. 1 to 3, realized by the support device 100). ..

The sensor unit 410 detects motion information about the subject's motion motion, and is realized by, for example, at least one of an acceleration sensor 41 and a gyro sensor 42.

The determination unit 420 compares the motion information with the threshold set for a given motion motion, and outputs the information to the output unit 440 according to the result of the comparison. In the present specification, when the detected value exceeds the threshold value, it means that the detected value changes across the threshold value. That is, exceeding the threshold value may mean that the detected value exceeds the threshold value and falls below the threshold value, depending on the situation. The determination unit 420 is realized by, for example, the CPU 20.

In one example, the threshold was obtained by statistically processing values obtained in actual exercise movements or values obtained in multiple exercise movements (by the same person or multiple people). Set using a value. For example, the threshold value for the "jumping motion" is set using the motion information acquired when the "jumping motion" is actually performed. More specifically, even if the threshold value for the "jumping motion" is set using both the motion information acquired in the correct "jumping motion" and the motion information acquired in the incorrect "jumping motion". Good.

The threshold storage unit 430 stores the threshold value used by the determination unit 420. The threshold storage unit 430 is realized by a storage device (for example, a flash memory 27, a memory card 31, etc.) accessible to the CPU 20.

The output unit 440 outputs information about the subject's motor movements, and is realized by, for example, at least one of the speaker 33, the LED 36, and the vibrator 38.

The determination unit 420 outputs information related to a given motor motion when the motion information acquired for the subject performing the given motor motion exceeds a given threshold value. The determination unit 420 may output information indicating that the subject's motion motion is approaching the correct motion even when the acquired motion information is approaching a given threshold value.

The exercise support system 400 may include an input unit realized as an input switch 25 or the like, which will be described later. When the determination unit 420 receives the designation of either "running motion", "jumping motion", or "throwing motion" according to the operation on the input unit, the determination unit 420 reads a threshold value according to the designated motion and uses the threshold value. Then, information about the exercise information of the subject may be output. That is, the exercise support system 400 is configured to be able to output information on a plurality of types of exercise movements, accepts designation of the type of exercise movement, and outputs information on the specified type of exercise movement. It may have been.

[Information output example (running operation)]
In one example, the support device 100 outputs information about the subject's "running motion". The output of information about the "running motion" by the support device 100 will be described with reference to FIGS. 5 to 7.

FIG. 5 is a diagram showing a series of "running movements" of the subject in each of the two types of movement patterns. FIG. 5 shows two types of motion patterns R1 and R2 for the “running motion” of the subject wearing the support device 100. The pattern R2 represents a correct motion for "running motion", whereas the pattern R1 represents an incorrect motion for "running motion". Compared to pattern R1, in pattern R2, the subject's movements include characteristic movements (singular phases) that the correct "running movement" includes. The singular phase can be an important phase in performing the "running motion" correctly. The singular phase may include arm movements.

An example of a characteristic movement is when the elbow joint on one side (eg, right) is flexed and the leg on the other side (eg, left) is swung forward on one side (eg, right). This is the movement of the shoulder joint flexing.

Another example of characteristic movement is one side (eg, right) with the elbow joint on one side (eg, right) flexed in conjunction with kicking by the leg on the other side (eg, left). It is the action of extending the shoulder joint.

In the pattern R2, the sensor in the support device 100 detects that the characteristic movement of the subject has occurred. The support device 100 outputs a predetermined voice (“pip” in FIG. 5) as an example of information output in response to the sensor detecting the occurrence of the characteristic operation. The sound may be output when one of the flexion and extension of the shoulder joint is detected, or may be output at each timing when each of them is detected. By outputting the voice, the subject can understand that the movement of the subject at that time is correct for the "running movement".

On the other hand, in the pattern R1, the movement of the subject does not include the above-mentioned characteristic movement. Therefore, the support device 100 does not output the predetermined voice.

FIG. 6 is a diagram showing an example of the detection output of the sensor when the correct “running motion” is repeated. In FIG. 6, the graph (A) shows the detection output of the gyro sensor 42. The graph (B) shows the detection output of the acceleration sensor 41.

Graph (A) shows changes in angular velocities Gx, Gy, and Gz. As shown in the graph (A), when the correct "running motion" is repeated, the change in the angular velocity Gz is larger than the change in the angular velocities Gx and Gy. Based on this, the support device 100 may detect that the subject has performed the above characteristic movement based on the value of the angular velocity Gz.

In the graph (A), the values TR11 and TR12 are examples of the threshold values used for determining the occurrence of the characteristic motion of the “running motion”. The values TR11 and TR12 are stored in the threshold storage unit 430. An example of a criterion for determining that a characteristic operation has occurred is that the angular velocity Gz exceeds the value TR11 (below the value TR11). Another example is that the angular velocity Gz exceeds the value TR12 (exceeds the value TR12). Yet another example is that the angular velocity Gz changed to exceed the value TR12 within a given time after falling below the value TR11.

Graph (B) shows changes in accelerations Ax, Ay, and Az. As shown in the graph (B), when the correct "running motion" is repeated, the change in acceleration Ax and Ay is larger than the change in acceleration Az. Based on this, the support device 100 may detect that the subject has performed the characteristic motion based on the value of the acceleration Ax or the acceleration Ay.

In the graph (B), the values TR21 and TR22 are examples of the threshold values for the acceleration Ax, which are used to determine the occurrence of the characteristic motion of the “running motion”. The values TR31 and TR32 are examples of threshold values for the acceleration Ay, which are used to determine the occurrence of a characteristic motion of the "running motion". The values TR21, TR22, TR31, and TR32 are stored in the threshold storage unit 430.

An example of a criterion for determining that a characteristic motion has occurred based on the acceleration Ax is that the acceleration Ax exceeds the value TR21 (exceeds the value TR21). Another example is that the acceleration Ax exceeds the value TR22 (below the value TR22). Yet another example is that the acceleration Ax has changed to fall below the value TR22 within a given time period after exceeding the value TR21.

An example of a criterion for determining that a characteristic motion has occurred based on the acceleration Ay is that the acceleration Ay exceeds the value TR31 (exceeds the value TR31). Another example is that the acceleration Ay exceeds the value TR32 (below the value TR32). Yet another example is that the acceleration Ay changes to fall below the value TR32 within a given time period after exceeding the value TR31.

As described above, with reference to FIGS. 5 and 6, the detection of the occurrence of a characteristic motion using the angular velocity Gz, the acceleration Ax, or the acceleration Ay has been described. Due to angular velocity Gz, acceleration Ax, or acceleration Ay, at least the movement of the arm during a characteristic movement (eg, one side (eg, right) of the elbow joint is flexed and the one side of the shoulder joint is flexed. Flexion or extension of the shoulder joint on one side (eg, right) with the elbow joint on one side flexed) is detected. A sensor that detects the movement of the leg may be further used, and the detection result of the movement of the leg by the sensor may be further used in determining the presence or absence of the occurrence of a characteristic movement.

In the graph (A), it is shown that the acceleration Gz exceeds the threshold value TR11 for the first time at time t1 and exceeds the threshold value TR12 for the first time at time t2. The interval DR represents the time from when the value of the angular velocity Gz exceeds the value TR11 to when it exceeds the value TR12. If the acceleration Gz continues to change from exceeding the threshold value TR11 to exceeding the threshold value TR12, the interval DR can be calculated each time. The support device 100 may use the time from when the motion information (angular velocity Gz, acceleration Ax, or acceleration Ay) exceeds one of the two threshold values to when it exceeds the other for notification.

[Processing flow (running operation)]
FIG. 7 is a flowchart of a process executed for outputting information about a “running motion” using motion information. The process of FIG. 7 is realized, for example, by the CPU 20 executing a given program. Hereinafter, the flow of the above processing will be described with reference to FIG. 7.

In step S10, the CPU 20 determines whether or not it is time to start supporting the motor movement of the subject. An example of the arrival of the timing is that a given button (input switch 25) has been operated. Another example is that a given voice (eg, "start!") Has been input to the microphone 32. Yet another example is that the accelerometer 41 has detected vibration in a given direction. Yet another example is that the gyro sensor 42 has detected rotation in a given direction.

In step S12, the CPU 20 continuously acquires the value of the angular velocity Gz. The angular velocity Gz is an example of motion information of "running motion". Another example is acceleration Ax and / or acceleration Ay, as described with reference to FIG.

In step S14, the CPU 20 determines whether or not the acquired motion information exceeds a given threshold value. “Exceeding the threshold value” in step S14 may mean exceeding one of two types of threshold values (for example, threshold values TR11 and TR12 in the graph (A) of FIG. 6), or after exceeding one of them. It may be that the other is exceeded within a given time. The CPU 20 continues the control of step S14 until it determines that the exercise information exceeds a given threshold value (NO in step S14), and determines that the exercise information exceeds a given threshold value (YES in step S14). , The control proceeds to step S16.

In step S16, the CPU 20 outputs the given information and returns control to step S14. An example of the output information is the electronic sound "pip" as shown in FIG. Another example is a voice that informs the subject that an accurate motion for "running motion" such as "OK!" Is realized. Yet another example is the vibration of the vibrator 38. Yet another example is lighting / blinking of the LED 36. Yet another example is any combination of information outputs in these. Further, the CPU 20 may output information before the control in step S16, and may change the information output mode in step S16. For example, the CPU 20 may continuously output a beeping sound and change the sound output in step S16 to beeping.

The CPU 20 may change the type of information to be output depending on the length of the interval DR (FIG. 6). For example, the faster the subject runs, the shorter the interval DR. In one example, the CPU 20 may shorten the interval between the first “pi” and the second “pi” of the beeping electronic sound as the interval DR becomes shorter. In another example, the CPU 20 outputs a simple beeping sound when the interval DR is greater than or equal to a given value, and is special when the interval DR is shorter than the given value. You may output audio (for example, "Good run!").

In the process of FIG. 7 described above, the CPU 20 outputs information based on the fact that the motion information exceeds a given threshold value.

If the exercise information does not exceed the threshold value continuously for a given time or longer after the support is started in step S10, the CPU 20 may output predetermined information such as a voice "Good luck!". Good.

[Information output example (jumping operation)]
In one example, the support device 100 outputs information about the subject's "jumping motion". The output of information about the "jumping motion" by the support device 100 will be described with reference to FIGS. 8 to 10.

FIG. 8 is a diagram showing a series of flow of the subject's "jumping motion" in each of the two types of motion patterns. FIG. 8 shows two types of motion patterns J1 and J2 for the “jumping motion” of the subject wearing the support device 100. The pattern J2 represents the correct action for the "jumping action", whereas the pattern J1 represents the incorrect action for the "jumping action". Compared to pattern J1, in pattern J2, the subject's movements include characteristic movements (singular phases) that the correct "jumping movement" includes. The singular phase can be an important phase in performing the "jumping motion" correctly. The singular phase may include arm movements.

An example of a characteristic motion is the motion of shifting the shoulder joint from the flexion position to the extension position while the lower limbs are flexed, and further lowering the center of gravity.

In pattern J2, the sensor in the support device 100 detects that the above characteristic movement of the subject has occurred. The support device 100 outputs a predetermined voice (“pip” in FIG. 8) as an example of information output in response to the sensor detecting the occurrence of the characteristic operation. By outputting the sound, the subject can understand that the subject's movement at that time is correct for the "jumping movement". Further, the subject can recognize the timing of completing the "jumping motion" by bending the shoulder joint and swinging it forward by outputting the voice.

On the other hand, in the pattern J1, the movement of the subject does not include the above-mentioned characteristic movement. Therefore, the support device 100 does not output the predetermined voice.

FIG. 9 is a diagram showing an example of the detection output of the sensor when the correct “jumping motion” is performed. The graph of FIG. 9 includes the detection output (Ax, Ay, Az) of the acceleration sensor 41 and the detection output (Gx, Gy, Gz) of the gyro sensor 42.

In FIG. 9, the period of the determination target of the motion information for the “jumping motion” is shown as the frame AR1. The period to be judged corresponds to, for example, a phase in which the subject swings his / her arm backward while the body is sunk in preparation for jumping. In one example, for the determination of "jumping motion", the angular velocity Gy including the point P1 (dashed line in FIG. 9), the angular velocity Gz including the point P2 (thin line in FIG. 9), and the point P3 are used as motion information. At least one of the acceleration Ax (thick line in FIG. 9) including the above is used. It should be noted that the points P1 to P3 are attached to distinguish the three types of lines in FIG. 9, and their positions do not include any particular meaning.

In one example, a threshold value TJgy (not shown) for the angular velocity Gy is set, and the support device 100 performs a characteristic operation when the angular velocity Gy exceeds (exceeds) the threshold value TJgy within the period indicated by the frame AR1. Is determined to have occurred and the given information is output.

In another example, a threshold value TJgs (not shown) for the angular velocity Gz is set, and the support device 100 is characteristic when the angular velocity Gz exceeds (exceeds) the threshold value TJgs within the period indicated by the frame AR1. It is judged that an operation has occurred and given information is output.

In yet another example, a threshold TJax (not shown) for the acceleration Ax is set, and the support device 100 is characterized when the acceleration Ax exceeds (falls below) the threshold TJax within the period indicated by the frame AR1. It is determined that a specific operation has occurred, and given information is output.

The threshold values TJgy, TJgz, and TJax are stored in the threshold value storage unit 430.
With reference to FIGS. 8 and 9, the detection of the occurrence of a characteristic motion using the angular velocity Gy, the angular velocity Gz, or the acceleration Ax has been described above. At least the movement of the arm in the characteristic movement (for example, the movement of shifting the shoulder joint from the flexion position to the extension position) is detected by the angular velocity Gy, the angular velocity Gz, or the acceleration Ax. A sensor that detects the movement of the leg may be further used, and the detection output of the sensor may be further used in determining the presence or absence of the occurrence of a characteristic motion.

[Processing flow (jumping operation)]
FIG. 10 is a flowchart of a process executed for outputting information about a “jumping motion” using motion information. The process of FIG. 10 is realized, for example, by the CPU 20 executing a given program. Hereinafter, the flow of the above processing will be described with reference to FIG.

In step S20, the CPU 20 determines whether or not it is time to start supporting the motor movement of the subject. The timing corresponds to the timing at which the period shown in the frame AR1 of FIG. 9 starts. An example of the arrival of the timing is that a given button (input switch 25) has been operated. Another example is the input of a given voice to the microphone 32, the accelerometer 41 detecting vibration in a given direction, and / or the gyro sensor 42 detecting rotation in a given direction. is there.

In step S22, the CPU 20 continuously acquires the value of the acceleration Ax. The acceleration Ax is an example of the motion information of the "jumping motion". Another example is the angular velocity Gy and / or the angular velocity Gz, as described with reference to FIG.

In step S24, the CPU 20 determines whether or not the acquired motion information exceeds a given threshold value. The CPU 20 continues the control of step S24 until it determines that the exercise information exceeds a given threshold value (NO in step S24), and determines that the exercise information exceeds a given threshold value (YES in step S24). , The control proceeds to step S26.

In step S26, the CPU 20 outputs the given information and returns control to step S24. An example of the output information is the electronic sound "pip" as shown in FIG. Another example is a voice that informs the subject that an accurate motion for the "jumping motion" has been achieved, such as "Now, let's jump!". Yet another example is the vibration of the vibrator 38. Yet another example is lighting / blinking of the LED 36. Yet another example is any combination of information outputs in these. Further, the CPU 20 may output information before the control in step S26, and may change the information output mode in step S26. For example, the CPU 20 may continuously output a beeping sound and change the sound output in step S26 to beeping.

In the process of FIG. 10 described above, the CPU 20 outputs information based on the fact that the motion information exceeds a given threshold value.

If the movement information does not exceed the threshold value continuously for a given time or longer (for example, until the end of the period indicated by the frame AR1) after the support is started in step S20, the CPU 20 makes a voice "do it again". After outputting predetermined information such as "Let's try!", The process of FIG. 10 may be terminated.

[Information output example (throwing operation)]
In one example, the support device 100 outputs information about the subject's "throwing motion". The output of information about the "throwing operation" by the support device 100 will be described with reference to FIGS. 11 to 13.

FIG. 11 is a diagram showing a series of flow of the subject's "throwing motion" in each of the two types of motion patterns. FIG. 11 shows two types of motion patterns T1 and T2 for the "throwing motion" of the subject wearing the support device 100. The pattern T2 represents the correct action for the "throwing action", whereas the pattern T1 represents the incorrect action for the "throwing action". Compared to pattern T1, in pattern T2, the subject's movements include characteristic movements (singular phases) that the correct "throwing movement" includes. The singular phase can be an important phase in performing the "throwing motion" correctly. The singular phase may include arm movements.

An example of a characteristic movement is that by performing at least one of extension, abduction, and abduction of the shoulder joint of the side arm (right arm or left arm) performing the throwing movement, the hand (right hand or left hand) is performed. ) Is an operation including pulling backward.

In the pattern T2, the sensor in the support device 100 detects that the above-mentioned characteristic movement of the subject has occurred. The support device 100 outputs a predetermined voice (“pip” in FIG. 11) as an example of information output in response to the sensor detecting the occurrence of the characteristic operation. By outputting the sound, the subject can understand that the subject's action at that time is correct for the "throwing action". Further, the subject can recognize the timing of completing the "throwing motion" by extending the shoulder joint and swinging it forward by outputting the voice.

On the other hand, in the pattern T1, the movement of the subject does not include the above-mentioned characteristic movement. Therefore, the support device 100 does not output the predetermined voice.

FIG. 12 is a diagram showing an example of the detection output of the sensor when the correct “throwing operation” is performed. The graph of FIG. 12 includes the detection output (Ax, Ay, Az) of the acceleration sensor 41 and the detection output (Gx, Gy, Gz) of the gyro sensor 42.

In one example, the acceleration Ay including the point P4 (two-dot chain line in FIG. 12), the acceleration Az including the point P5 (broken line in FIG. 12), and the point are used as motion information for determining the “throwing motion”. At least one of the angular velocity Gy (dotted line in FIG. 12) including P6 is used. It should be noted that the points P4 to P6 are attached to distinguish the three types of lines in FIG. 12, and their positions do not include any particular meaning.

In one example, a threshold value TTay (not shown) for the acceleration Ay is set, and the support device 100 determines that a characteristic operation has occurred when the acceleration Ay exceeds (exceeds) the threshold value TTay, and is given. Information is output.

In another example, a threshold value TTaz (not shown) for the acceleration Az is set, and the support device 100 determines that a characteristic operation has occurred when the acceleration Az exceeds (exceeds) the threshold value TTaz. Output given information.

In yet another example, a threshold value TTgy (not shown) for the angular velocity Gy is set, and the support device 100 determines that a characteristic operation has occurred when the angular velocity Gy exceeds (falls below) the threshold value TTgy. , Outputs given information.

The threshold values TTay, TTaz, and TTgy are stored in the threshold value storage unit 430.
As described above, with reference to FIGS. 11 and 12, the shoulder joint of the characteristic motion (for example, the arm (right arm or left arm) on the side performing the throwing motion) using the acceleration Ay, the acceleration Az, or the angular velocity Gy is removed. The detection of the occurrence of at least one of rolling and abduction and the occurrence of a hand (right or left hand) up and backward pulling on that side) was described. A sensor that detects the movement of the leg may be further used, and the detection output of the sensor may be further used in determining the presence or absence of the occurrence of a characteristic motion.

[Processing flow (throwing operation)]
FIG. 13 is a flowchart of a process executed for outputting information about a “throwing motion” using motion information. The process of FIG. 13 is realized, for example, by the CPU 20 executing a given program. Hereinafter, the flow of the above processing will be described with reference to FIG.

In step S30, the CPU 20 determines whether or not it is time to start supporting the motor movement of the subject. An example of the arrival of the timing is that a given button (input switch 25) has been operated. Another example is the input of a given voice to the microphone 32, the accelerometer 41 detecting vibration in a given direction, and / or the gyro sensor 42 detecting rotation in a given direction. is there.

In step S32, the CPU 20 continuously acquires the value of the acceleration Ay. The acceleration Ay is an example of the motion information of the "throwing motion". Another example is acceleration Az and / or angular velocity Gy, as described with reference to FIG.

In step S34, the CPU 20 determines whether or not the acquired motion information exceeds a given threshold value. The CPU 20 continues the control of step S34 until it determines that the exercise information exceeds a given threshold value (NO in step S34), and determines that the exercise information exceeds a given threshold value (YES in step S34). , The control proceeds to step S36.

In step S36, the CPU 20 outputs the given information and returns control to step S34. An example of the output information is the electronic sound "pip" as shown in FIG. By outputting the information, the subject can recognize the timing of putting his / her hand forward to complete the throwing motion.

Another example of the output information is a voice informing the subject that an accurate motion for the "throwing motion" has been achieved, such as "OK! Throw!". Yet another example is the vibration of the vibrator 38. Yet another example is lighting / blinking of the LED 36. Yet another example is any combination of information outputs in these. Further, the CPU 20 may output information before the control in step S36, and may change the information output mode in step S36. For example, the CPU 20 may continuously output a beeping sound and change the sound output in step S36 to beeping.

In the process of FIG. 13 described above, the CPU 20 outputs information based on the fact that the motion information exceeds a given threshold value.

If the movement information does not exceed the threshold value for a given time or longer after the support is started in step S30, the CPU 20 voices "Open your shoulders, raise your hand and pull back!" Information for guiding to the above characteristic operation such as, etc. may be output.

[Structure of exercise support system]
The exercise support system may be a device (wristwatch type) worn on the arm of the subject as shown in FIG. 1 or the like, or may be a general-purpose terminal such as a smartphone. When the exercise support system is composed of a general-purpose terminal, the terminal is worn on the subject's arm with a belt or the like.

FIG. 14 is a diagram showing another example of the configuration of the exercise support system. The exercise support system may be composed of a plurality of devices. More specifically, as shown in the configuration example (A) and the configuration example (B) of FIG. 14, the exercise support system 400 acquires the detection output of the sensor from the support device 100 including the sensor and the support device 100. It may be configured by the computer 500 for the operation. In the configuration example (A), the support device 100 is a wristwatch-type terminal, and the computer 500 is a general-purpose terminal such as a smartphone. In the configuration example (B), the support device 100 is a general-purpose terminal, and the computer 500 is a notebook-type personal computer.

FIG. 15 is a diagram schematically showing a hardware configuration of the computer 500. As shown in FIG. 5, the computer 500 has a CPU 510, an input unit 520 such as a keyboard, a memory 530, a memory interface (I / F) 540, and a communication interface (I / F) 550 as main components. And the output unit 560. The CPU 510, the input unit 520, the memory 530, the memory I / F 540, the communication I / F 550, and the output unit 560 are connected to each other by an internal bus.

The input unit 520 is operated for inputting information to the computer 500, and is realized as, for example, a hardware button and / or a software button.

The memory 530 is realized by a storage device such as RAM and / or ROM. The memory 530 stores a program executed by the CPU 510 and data used in executing the program.

The memory I / F 540 reads data from the external storage medium 541. The storage medium 541 is removable from the computer 500. The CPU 510 reads the data stored in the external storage medium 541 via the memory I / F 540, and stores the data in the memory 530. Further, the CPU 510 reads data from the memory 530 and stores the data in the storage medium 541 via the memory I / F 540. The program executed by the CPU 510 may be stored in the storage medium 541. Further, the program executed by the CPU 510 may be downloaded via a network such as a public network and stored in the memory 530.

Communication I / F 550 is realized by an antenna or a connector. The communication I / F 550 transmits / receives data to / from another device (including the support device 100) by wired communication or wireless communication. The CPU 510 receives a program, image data, text data, or the like from another device via the communication I / F 550, and transmits the image data or text data to the other device.

The output unit 560 outputs information by voice, light, and / or vibration. The output is realized, for example, as at least one of a speaker, an LED and / or a display, and a vibrator.

The CPU 510 controls each part of the computer 500 by executing a program stored in the memory 530 or the storage medium 541.

In the configuration example (A) and the configuration example (B), the sensor unit 410 is realized by at least one of the acceleration sensor 41 and the gyro sensor 42 of the support device 100. The determination unit 420 is realized by the CPU 510 of the computer 500. The threshold storage unit 430 is configured by a storage device accessible to the CPU 510, and is realized by, for example, a memory 530 or a storage medium 541. The output unit 440 is realized by the output unit 560.

In addition to the support device 100 and the computer 500 shown in FIG. 14, the exercise support system may include an information output device (speaker, display, vibrator, robot, etc.) as an output unit 560. In this case, the computer 500 as the determination unit 420 may instruct the device for outputting the information to output the information when the motion information of the subject exceeds a given threshold value. As a result, information can be output in various output modes.

For example, an exercise support system may be configured for a robot to perform a given motion when the subject performs a given motion in the correct manner. In this case, the sensor in the support device 100 detects the motion information corresponding to the motion motion and transmits the motion information to the computer 500. Based on the motion information, the computer 500 determines that the subject has performed the correct motion motion, and instructs the robot to perform the given motion. The robot executes a given operation in response to an instruction from the computer 500.

When a general-purpose terminal is used as the support device 100, the terminal accepts a setting for matching the detection direction of the sensor in the terminal with the detection direction of the support device 100 as shown in FIG. Can be done. FIG. 16 is a diagram showing an example of detection directions of acceleration and angular velocity in a terminal used as a support device 100. FIG. 17 is a diagram showing an example of a screen that accepts the setting of the detection axis in the terminal used as the support device 100.

In the terminal shown in FIG. 16, the Y-axis is defined along the longitudinal direction thereof, and the X-axis is defined along the lateral direction. When the subject wears the terminal so that the longitudinal direction of the terminal is along the longitudinal direction of the subject's arm, the X-axis is defined along the longitudinal direction of the terminal as shown in FIG. It will be necessary to change the definition of the axis in the terminal so that the Y axis is defined along the lateral direction.

In the example of FIG. 17, the touch panel 100A of the terminal (support device 100) of FIG. 16 displays a screen for exchanging axes. The screen includes software keys 100B representing each of the X-axis and the Y-axis. The user can, for example, operate a given software key to change the direction of the axis of acceleration and / or angular velocity detection at the terminal to be suitable for determining the subject's motor movements.

[Change threshold]
In the exercise support system, the thresholds used to judge the subject's motor movements can be changed. The threshold storage unit 430 may store a plurality of thresholds corresponding to the characteristics of the subject (height, weight, gender, age, and / or high athletic ability). The determination unit 420 may select a threshold value corresponding to the characteristics of the subject input by the user, and use the threshold value to perform a determination on the motor motion described with reference to FIG. 7 and the like.

[Use of piezoelectric sensor]
The sensor used in the present disclosure is not limited to an inertial sensor such as an acceleration sensor 41 or a gyro sensor 42 as long as it can provide motion information of a subject. FIG. 18 is a diagram for explaining an exercise support system that uses a piezoelectric sensor to provide information on the exercise motion of a subject. In the example of FIG. 18, the exercise support system includes a support device 100X and a computer 500.

The support device 100X includes a belt 101, a housing 102, a sphere 103, a fixture 104, and a piezoelectric sensor unit 110. The fixture 104 attaches the housing 102 to the belt 101 so that the orientation of the housing 102 can be adjusted in the direction of rotation indicated by the double-headed arrow 1810. The fixture 104 can fix the orientation of the adjusted housing 102.

The support device 100X is attached to the subject's arm AR by the belt 101. When the motion motion of the subject is determined, the fixture 104 determines the direction of the double-headed arrow 1800 with respect to the housing 102 in the direction obtained as motion information in the X-axis, Y-axis, and Z-axis shown in FIG. Adjusted to fit.

The sphere 103 is enclosed in the housing 102 and can move in the housing 102 along the direction indicated by the double-headed arrow 1800. When the subject's arm moves in the direction of the double-headed arrow 1800, the sphere 103 moves in the housing 102 at a speed corresponding to the magnitude of the acceleration in the double-headed arrow 1800 direction applied to the housing 102. As a result, the sphere 103 collides with the piezoelectric sensor unit 110 at a speed corresponding to the acceleration.

FIG. 19 is a diagram showing an example of the configuration of the piezoelectric sensor unit 110. The piezoelectric sensor unit 110 includes a piezoelectric element 111, a detection circuit 112, and a communication circuit 113.

When the sphere 103 collides with the piezoelectric element 111, the piezoelectric element 111 generates an electromotive force having a magnitude corresponding to the collision speed. More specifically, the higher the speed at which the sphere 103 collides with the piezoelectric element 111, the larger the electromotive force is generated in the piezoelectric element 111.

The detection circuit 112 detects the electromotive force generated in the piezoelectric element 111 and outputs it to the communication circuit 113. The communication circuit 113 transmits the electromotive force output from the detection circuit to the computer 500.

In the exercise support system of FIG. 18, the sensor unit 410 of the exercise support system 400 of FIG. 4 is realized as the piezoelectric element 111. Each of the determination unit 420, the threshold storage unit 430, and the output unit 440 is realized as the CPU 510 of the computer 500, the memory 530 (or the storage medium 541), and the output unit 560, respectively.

The threshold storage unit 430 (memory 530, etc.) stores the magnitude of the electromotive force generated in the piezoelectric element 111 as a threshold value for determining the occurrence of a characteristic motion in a given motion motion. The determination unit 420 (CPU 510) determines whether or not the motion of the subject corresponds to the characteristic motion for the given motion motion, depending on whether or not the electromotive force output from the support device 100X exceeds the threshold value. To do. Then, when the determination unit 420 (CPU 510) determines that the motion of the subject corresponds to the characteristic motion, the determination unit 420 (CPU 510) outputs given information from the output unit 440 (output unit 560).

It should be considered that the embodiments disclosed this time are exemplary in all respects and not restrictive. The scope of the present invention is shown by the scope of claims rather than the above description, and it is intended to include all modifications within the meaning and scope equivalent to the scope of claims. It is also intended that the two or more implementations shown in the embodiments be implemented alone or in combination as much as possible.

20,510 CPU, 24 communication devices, 25 input switches, 27 flash memory, 31 memory cards, 37 communication interfaces, 38 vibrators, 41 acceleration sensors, 42 gyro sensors, 100, 100X support devices, 100A touch panels, 101 belts, 102 housings. Body, 103 sphere, 104 fixture, 110 piezoelectric sensor unit, 111 piezoelectric element, 112 detection circuit, 113 communication circuit, 400 motion support system, 410 sensor unit, 420 judgment unit, 430 threshold storage unit, 440,560 output unit, 500 computers, 520 inputs, 541 storage media, 900 subjects.

Claims (3)

It is an exercise support system that outputs information for learning the jumping motion of the subject.
An output unit that outputs information and
Based on the detection value detected by the sensor attached to the subject, the movement is information indicating the motion of shifting the shoulder joint from the flexion position to the extension position with the lower limbs flexed and further lowering the center of gravity. The exercise information acquisition unit that detects information and
When the motion information acquired by the motion information acquisition unit satisfies the condition set for the jumping motion, the control unit that outputs information from the output unit is provided.
The motion information acquisition unit sets the angular velocity along the axis (X-axis) along the longitudinal direction of the subject's arm as Gx, the angular velocity along the axis along the width direction of the wrist (Y-axis) as Gy, and the palm. An exercise support system that detects the motion information when the angular velocity Gy exceeds a predetermined value when the angular velocity around the penetrating axis (Z axis) is Gz. It is an exercise support system that outputs information for learning the jumping motion of the subject.
An output unit that outputs information and
Based on the detection value detected by the sensor attached to the subject, the movement is information indicating the motion of shifting the shoulder joint from the flexion position to the extension position with the lower limbs flexed and further lowering the center of gravity. The exercise information acquisition unit that detects information and
When the motion information acquired by the motion information acquisition unit satisfies the condition set for the jumping motion, the control unit that outputs information from the output unit is provided.
The motion information acquisition unit sets the angular velocity along the axis (X-axis) along the longitudinal direction of the subject's arm as Gx, the angular velocity along the axis along the width direction of the wrist (Y-axis) as Gy, and the palm. An exercise support system that detects the motion information when the angular velocity Gz exceeds a predetermined value, where the angular velocity around the penetrating axis (Z axis) is Gz. A program that runs on a computer
The program causes the computer to function as the output unit, the exercise information acquisition unit, and the control unit of the exercise support system according to any one of claims 1 to 2 .

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