JP2019208880A - Exercise support system and program - Google Patents

Abstract

To provide a subject with direct information about specific exercise motion.SOLUTION: A subject wears a support device 100 on his/her arm and executes a predetermined exercise motion. The support device 100 includes a sensor. The support device 100 determines whether or not exercise information output from the sensor exceeds a threshold set for the predetermined exercise motion, and when determining that the exercise information exceeds the threshold, outputs information with a sound such as a peep. The threshold corresponds to the characteristic motion for the predetermined exercise motion. Since a characteristic operation is not included in pattern R1, the support device 100 does not output a sound. Since a characteristic operation is included in pattern R2, the support device 100 outputs a sound.SELECTED DRAWING: Figure 5

Description

  The present disclosure relates to an exercise support system and a program, and more particularly, to an exercise support system that outputs information for acquiring exercise motion of a subject and a program executed by a computer for outputting such information.

  Conventionally, various techniques for automatically determining the pattern of exercise motion of a subject have been proposed. For example, Japanese Patent No. 5314224 (Patent Document 1) acquires body motion information about a user who runs on a treadmill, extracts features from the acquired body motion information, and uses the extracted features as a given calculation. We propose a running form diagnosis system that calculates the running form score of the user by applying the formula.

Japanese Patent No. 5314224

  On the other hand, more direct information may be required as to whether or not the subject's motion is a correct motion for a specific motion motion.

  The present disclosure has been devised in view of such circumstances, and its purpose is to provide a subject with direct information regarding a specific movement.

  According to an aspect of the present disclosure, an exercise support system that outputs information for acquiring exercise motion of a subject is provided. The exercise support system includes an output unit that outputs information, an exercise information acquisition unit that acquires exercise information detected by a sensor attached to the subject, and exercise information acquired by the exercise information acquisition unit is set for an exercise operation. 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 exercise information acquisition unit acquiring the exercise information.

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

  The movement operation may include at least one type of operation of running, jumping, and throwing.

  The movement operation may include a running operation. The exercise information may include information representing flexion or extension of the subject's shoulder joint in a state where the elbow is bent.

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

  The movement operation may include a jumping operation. The exercise information may include information representing a change from the bending position of the subject's shoulder joint to the extension position.

  The motion information includes acceleration of an axis along the longitudinal direction of the subject's arm, and angular velocity about an axis along at least one of an axis along the width direction of the wrist of the subject and an axis that penetrates the palm of the subject. May be included.

  The movement operation may include a throwing operation. The exercise information may be information representing an action of pulling the upper arm backward by extending, abduction, or external rotation of the subject's shoulder joint.

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

  The exercise information acquisition unit may be configured by a housing that is configured integrally with the sensor and that is attached to the arm of the subject.

  The exercise support system may further include a housing that includes the sensor and is attached to the arm of the subject. The exercise information acquisition unit may include a communication circuit that can communicate with the sensor.

  The control unit may receive designation of one type of exercise motion among two or more types of exercise motions, and may output information from the output unit using a threshold set for the designated type of motion motion.

  According to another aspect of the present disclosure, a program executed by a computer is provided. The program acquires, in the computer, exercise information detected by a sensor attached to the subject, and determines whether the acquired exercise information exceeds a threshold set for the exercise motion of the subject; A step of outputting information when it is determined that the exercise information exceeds a threshold value.

  According to the present disclosure, information is output when motion information detected by a sensor attached to a subject exceeds a threshold set for a given motion motion. Thus, the subject can directly determine whether or not the motion of the subject is the correct motion for a given motion motion, depending on whether information is output.

It is a figure which shows the test subject with which the sensor for acquiring exercise | movement information was mounted | worn. It is a figure for demonstrating an example of the exercise | movement information detected by the sensor in the assistance apparatus 100 of FIG. 2 is a diagram illustrating an example of a hardware configuration of a support apparatus 100. FIG. It is a figure which shows an example of the functional block of an exercise support system. It is a figure showing a series of flows of a subject's "running motion" in each of two types of motion patterns. It is a figure which shows an example of the detection output of a sensor when correct "running operation" is repeated. It is a flowchart of the process performed for the information output about "running operation | movement" using exercise | movement information. It is a figure showing a series of flows of a subject's "jumping action" in each of two types of action patterns. It is a figure which shows an example of the detection output of a sensor when correct "jumping action" is implemented. It is a flowchart of the process performed in order to output the information about "the jumping motion" using exercise information. It is a figure showing a series of flows of a subject's "throwing action" in each of two types of action patterns. It is a figure which shows an example of the detection output of a sensor when correct "throwing action" is implemented. It is a flowchart of the process performed for the information output about "throwing operation | movement" using exercise | movement information. It is a figure showing other examples of composition of an exercise support system. FIG. 2 is a diagram schematically showing a hardware configuration of a computer 500. It is a figure which shows an example of the detection direction of the acceleration and angular velocity in the terminal used as the assistance apparatus. It is a figure which shows an example of the screen which receives the setting of a detection axis in the terminal used as the assistance apparatus. It is a figure for demonstrating the exercise | movement assistance system which provides the information regarding a test subject's exercise | movement operation | movement using a piezoelectric sensor. 2 is a diagram illustrating an example of a configuration of a piezoelectric sensor unit 110. FIG.

  Hereinafter, an embodiment relating to an exercise support system will be described with reference to the drawings. In the following description, the same parts and components are denoted by the same reference numerals. Their names and functions are also the same. Therefore, detailed description thereof will not be repeated.

[Outline of exercise support system]
FIG. 1 is a diagram showing a subject wearing a sensor for acquiring exercise information. As shown in FIG. 1, the subject 900 wears the support device 100 in order to acquire information about the subject's movement. 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 exercise information detected by a sensor in the support apparatus 100 of FIG. FIG. 2 shows an enlarged view of a part of the arm AR of the subject 900 wearing the support apparatus 100.

  In the example of FIG. 2, sensors (an acceleration sensor 41 and a gyro sensor 42 described later) in the support device 100 detect the acceleration of each axis and the angular velocity around each axis for three axes. Of the three axes (X axis, Y axis, and Z axis) shown in FIG. 2, the X axis represents a 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 the palm of the subject.

  In the present specification, each of “Ax”, “Ay”, and “Az” is used to represent acceleration detection output in directions along the X-axis, Y-axis, and Z-axis. Each of “Gx”, “Gy”, and “Gz” is used to express the detection output of the angular velocity in the rotation direction around each of the X axis, the Y axis, and the Z axis.

  The support apparatus 100 outputs information for guiding a given type of exercise motion of the subject to a correct mode using at least one type of information among the above-described three types of acceleration and three types of angular velocities. In one example, an expert determines whether a given action is a correct action. More specifically, the support device 100 outputs the information using a threshold value. In one embodiment, the threshold is generated using exercise information obtained in an action that the expert has determined to be correct. In other embodiments, the specialist himself may set a threshold that will be obtained in the correct operation. Support device 100 further outputs information representing the result of the determination. The types of operations that the support apparatus 100 determines are, for example, “running operation”, “jumping operation”, or “throwing operation”.

[Hardware configuration]
FIG. 3 is a diagram illustrating an example of a 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. A memory card drive device 30, a microphone 32, a speaker 33, an audio signal processing circuit 34, an LED (Light Emitting Diode) 36, a communication interface 37, a vibrator 38, an acceleration sensor 41, and a gyro sensor 42. With. A memory card 31 can be attached to the memory card drive device 30.

  The CPU 20 executes processing for controlling the operation of the support device 100 based on a command given to the support device 100. The signal received by the antenna 23 is subjected to front-end processing 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 instruction input to the support apparatus 100. A signal corresponding to the input instruction is input to the CPU 20.

  The audio signal processing circuit 34 inputs the sound 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 the flash memory 27.

  The RAM 28 temporarily stores data generated by the CPU 20. The ROM 29 stores a program or data for causing the support apparatus 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 apparatus 100.

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

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

  Vibrator 38 performs an oscillating operation at a predetermined frequency based on a signal output from CPU 20.

  The acceleration sensor 41 detects acceleration acting on the support device 100. In one aspect, the acceleration sensor 41 is realized as an acceleration sensor that detects acceleration along each of three axes (X axis, Y axis, and Z axis in FIG. 2). The gyro sensor 42 detects angular velocities acting on the support device 100, and detects angular accelerations around 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.

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

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

  The sensor unit 410 detects exercise information regarding the exercise operation of the subject, and is realized by at least one of the acceleration sensor 41 and the gyro sensor 42, for example.

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

  In one example, the threshold value is obtained by statistically processing a value obtained in an actual exercise operation or a value obtained in a plurality of exercise operations (by the same person or multiple persons). Set using a value. For example, the threshold value for the “jumping motion” is set using the exercise information acquired when the “jumping motion” is actually performed. More specifically, the threshold for the “jumping motion” may be set using both the exercise information acquired in the correct “jumping motion” and the exercise information acquired in the incorrect “jumping motion”. Good.

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

  The output unit 440 outputs information on the exercise motion of the subject, and is realized by at least one of the speaker 33, the LED 36, and the vibrator 38, for example.

  The determination unit 420 outputs information related to a given exercise operation when the exercise information acquired for the subject who performs the given exercise operation exceeds a given threshold value. The determination unit 420 may output information indicating that the exercise motion of the subject is approaching a 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 described later. When the determination unit 420 accepts designation of “running motion”, “jumping motion”, or “throwing motion” according to an 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 on the exercise information of the subject may be output. In other words, the exercise support system 400 is configured to be able to output information on a plurality of types of exercise motions, and is configured to accept designation of the type of exercise motion and output information on the specified type of exercise motion. May be.

[Information output example (running operation)]
In one example, the support device 100 outputs information about the “running motion” of the subject. With reference to FIGS. 5-7, the output of the information about "running | running | working" by the assistance apparatus 100 is demonstrated.

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

  An example of a characteristic action is when one side (eg, right) elbow joint is bent, and when the other side (eg, left) leg is swung forward, one side (eg, right) This is an operation in which the shoulder joint bends.

  Another example of the characteristic movement is that the elbow joint on one side (for example, the right) is bent, and the kicking by the leg on the other side (for example, the left) is combined with the kick on the one side (for example, the right). It is an operation of extending the shoulder joint.

  In the pattern R2, the sensor in the support apparatus 100 detects that the above-described 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 is detected. By outputting the sound, the subject can understand that the motion of the subject at that time is correct with respect to the “running motion”.

  On the other hand, in the pattern R1, the test subject's motion does not include the characteristic motion. Therefore, the support apparatus 100 does not output the predetermined voice.

  FIG. 6 is a diagram illustrating an example of the detection output of the sensor when the correct “running operation” is repeated. In FIG. 6, a 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 characteristic motion based on the value of the angular velocity Gz.

  In the graph (A), values TR11 and TR12 are examples of threshold values used for determining occurrence of a characteristic operation of “running operation”. The values TR11 and TR12 are stored in the threshold storage unit 430. An example of a criterion for determining that a characteristic action 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 has 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 the accelerations Ax and Ay is larger than the change in the 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), values TR21 and TR22 are an example of a threshold value for the acceleration Ax that is used to determine the occurrence of a characteristic motion of “running motion”. The values TR31 and TR32 are an example of a threshold value for the acceleration Ay that is used to determine the occurrence of a characteristic motion of “running motion”. The values TR21, TR22, TR31, 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 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 has changed to fall below the value TR32 within a given time after exceeding the value TR31.

  The detection of the occurrence of the characteristic motion using the angular velocity Gz, the acceleration Ax, or the acceleration Ay has been described above with reference to FIGS. 5 and 6. Due to the angular velocity Gz, the acceleration Ax, or the acceleration Ay, at least the arm movement (for example, the one side (for example, the right) elbow joint in the characteristic motion is bent) Bending or extending the shoulder joint on one side in a state where the elbow joint on one side (for example, right) is bent is detected. Note that a sensor for detecting the movement of the leg may be further used, and the result of detecting the movement of the leg by the sensor may be further used in determining whether or not a characteristic motion has occurred.

  Graph (A) shows that acceleration Gz exceeded threshold value TR11 for the first time at time t1 and exceeded 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 until it exceeds the value TR12. When the acceleration Gz continues to change such that it exceeds the threshold value TR11 and then exceeds the threshold value TR12, the interval DR can be calculated each time. The support apparatus 100 may use time for the exercise information (angular velocity Gz, acceleration Ax, or acceleration Ay) from exceeding one of the two thresholds to exceeding the other.

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

  In step S <b> 10, the CPU 20 determines whether it is time to start assisting the subject's exercise motion. 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 (for example, “START!”) Is input to the microphone 32. Yet another example is that the acceleration sensor 41 has detected a 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, CPU 20 determines whether or not the acquired exercise information exceeds a given threshold value. “Exceeding the threshold” in step S14 may be that one of the two types of thresholds (for example, the thresholds TR11 and TR12 in the graph (A) in FIG. 6) has been exceeded, or after exceeding one. The other may have been exceeded within a given time. The CPU 20 continues the control in step S14 until it is determined that the exercise information has exceeded the given threshold (NO in step S14), and if it is determined that the exercise information has exceeded the given threshold (YES in step S14). Then, control proceeds to step S16.

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

  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 interval DR decreases as the speed at which the subject runs increases. In one example, the CPU 20 may shorten the interval between the first “pi” and the second “pi” of the beep 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 a special beep when the interval DR becomes shorter than the given value. Audio (for example, “Good running!”) May be output.

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

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

[Example of information output (jumping motion)]
In one example, the support device 100 outputs information about the subject's “jumping motion”. With reference to FIGS. 8-10, the output of the information about "jumping action" by the support apparatus 100 will be described.

  FIG. 8 is a diagram showing a series of flows of the “jumping motion” of the subject 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 apparatus 100. Pattern J2 represents the correct action for the “jumping action”, while pattern J1 represents the incorrect action for the “jumping action”. Compared to the pattern J1, in the pattern J2, the subject's motion includes a characteristic motion (singular phase) included in the correct “jumping motion”. The singular phase can be an important phase for correctly performing the “jumping motion”. The singular phase may include arm movement.

  An example of a characteristic action is an action of shifting the shoulder joint from the bent position to the extended position with the lower limb bent, and further lowering the center of gravity.

  In the pattern J2, the sensor in the support apparatus 100 detects that the above-described 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 motion of the subject at that time is correct with respect to the “jumping motion”. Furthermore, the subject can recognize the timing of completing the “jumping motion” by bending the shoulder joint and swinging forward by outputting the sound.

  On the other hand, in the pattern J1, the subject's motion does not include the characteristic motion. Therefore, the support apparatus 100 does not output the predetermined voice.

  FIG. 9 is a diagram illustrating an example of the detection output of the sensor when a correct “jumping operation” 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 for which the exercise information for the “jumping motion” is to be determined is shown as a frame AR1. The determination target period corresponds to, for example, a phase in which the subject swings his / her arm backward while sinking his body in preparation for jumping. In one example, for the determination of the “jumping motion”, as the motion information, 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 At least one of the accelerations Ax (thick line in FIG. 9) including is used. Note that the points P1 to P3 are given to distinguish the three types of lines in FIG. 9, and their positions do not include any special meaning.

  In one example, a threshold value TJgy (not shown) for the angular velocity Gy is set, and the assisting 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 occur, and given information is output.

  In another example, a threshold value TJgz (not shown) for the angular velocity Gz is set, and the support apparatus 100 is characterized when the angular velocity Gz exceeds (exceeds) the threshold value TJgz within the period indicated by the frame AR1. It is determined that a certain operation has occurred, and given information is output.

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

The thresholds TJgy, TJgz, TJax are stored in the threshold storage unit 430.
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 with reference to FIGS. Based on the angular velocity Gy, the angular velocity Gz, or the acceleration Ax, at least a movement of the arm in the characteristic motion (for example, a movement of moving the shoulder joint from the bending position to the extension position) is detected. Note that 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 whether or not a characteristic motion has occurred.

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

  In step S <b> 20, the CPU 20 determines whether or not it is time to start assisting the subject's exercise motion. This timing corresponds to the timing at which the period indicated by the frame AR1 in FIG. 9 starts. An example of the arrival of the timing is that a given button (input switch 25) has been operated. Other examples are the input of a given voice to the microphone 32, the acceleration sensor 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 motion information of “jumping motion”. Another example is angular velocity Gy and / or angular velocity Gz, as described with reference to FIG.

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

  In step S26, the CPU 20 outputs given information and returns control to step S24. An example of the output information is an electronic sound “beep” as shown in FIG. Another example is a voice that informs the subject that an accurate operation of “jumping motion” such as “Now, I jump!” Is realized. Yet another example is the vibration of the vibrator 38. Yet another example is lighting / flashing of the LED 36. Yet another example is a combination of any of these information outputs. 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 an electronic sound “pea” and change the sound output in step S26 to “pip”.

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

  If the exercise information does not exceed the threshold value for a given time or longer after the support is started in step S20 (for example, until the period indicated by the frame AR1 ends), the voice “ After outputting predetermined information such as “Let's try!”, The processing of FIG. 10 may be terminated.

[Information output example (throwing action)]
In one example, the support device 100 outputs information about the “throwing motion” of the subject. With reference to FIGS. 11 to 13, output of information on “throwing motion” by the support apparatus 100 will be described.

  FIG. 11 is a diagram showing a series of “throwing motions” of the subject in each of the two types of motion patterns. FIG. 11 shows two types of motion patterns T1 and T2 regarding the “throwing motion” of the subject wearing the support apparatus 100. Pattern T2 represents the correct action for the “throwing action”, while pattern T1 represents the incorrect action for the “throwing action”. Compared with the pattern T1, in the pattern T2, the subject's motion includes a characteristic motion (singular phase) included in the correct “throwing motion”. The singular phase can be an important phase for correctly performing the “throwing motion”. The singular phase may include arm movement.

  An example of a characteristic motion is that the hand (right hand or left hand) of the side (right hand or left hand) performs at least one of extension, abduction, and external rotation of the shoulder joint (right arm or left arm) that performs the throwing motion. ) In the backward direction.

  In the pattern T2, the sensor in the support apparatus 100 detects that the above-described 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 motion of the subject at that time is correct with respect to the “throwing motion”. Furthermore, the subject can recognize the timing of completing the “throwing operation” by extending the shoulder joint and swinging forward by outputting the sound.

  On the other hand, in the pattern T1, the test subject's motion does not include the characteristic motion. Therefore, the support apparatus 100 does not output the predetermined voice.

  FIG. 12 is a diagram illustrating 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, for the determination of the “throwing motion”, as movement information, an acceleration Ay including a point P4 (two-dot chain line in FIG. 12), an acceleration Az including a point P5 (dashed line in FIG. 12), and a point At least one of angular velocities Gy including P6 (one-dot chain line in FIG. 12) is used. Note that the points P4 to P6 are given to distinguish the three types of lines in FIG. 12, and their positions do not include any special meaning.

  In one example, a threshold value TTay (not shown) for the acceleration Ay is set, and the support apparatus 100 determines that a characteristic action has occurred when the acceleration Ay exceeds (exceeds) the threshold value TTay, and gives a given value. The information of 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 action 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 apparatus 100 determines that a characteristic action has occurred when the angular velocity Gy exceeds (below) the threshold value TTgy. , Output the given information.

The threshold values TTay, TTaz, and TTgy are stored in the threshold value storage unit 430.
As described above, referring to FIG. 11 and FIG. 12, the shoulder joint of the arm (right arm or left arm) that performs the characteristic motion (for example, the throwing motion side) using the acceleration Ay, the acceleration Az, or the angular velocity Gy is removed. Detection of occurrence of at least one of rolling and external rotation and movement including pulling the hand (right hand or left hand) up and backward on that side has been described. Note that 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 whether or not a characteristic motion has occurred.

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

  In step S30, the CPU 20 determines whether or not it is time to start assisting the subject's exercise motion. An example of the arrival of the timing is that a given button (input switch 25) has been operated. Other examples are the input of a given voice to the microphone 32, the acceleration sensor 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 motion information of “throwing motion”. Other examples are acceleration Az and / or angular velocity Gy, as described with reference to FIG.

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

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

  Another example of the information that is output is a voice that informs the subject that an accurate operation of “throwing motion” such as “OK! Throw!” Is realized. Yet another example is the vibration of the vibrator 38. Yet another example is lighting / flashing of the LED 36. Yet another example is a combination of any of these information outputs. Further, the CPU 20 may output information before the control in step S36, and change the information output mode in step S36. For example, the CPU 20 may continuously output an electronic sound “pea” and change the sound output in step S36 to “pip”.

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

  If the exercise information does not exceed the threshold for a given time after the start of support in step S30, the CPU 20 will say “Let open your shoulders and raise your hand!” For example, information for guiding to the characteristic operation may be output.

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

  FIG. 14 is a diagram illustrating another example of the configuration of the exercise support system. The exercise support system may be configured by a plurality of devices. More specifically, as illustrated in the configuration example (A) and the configuration example (B) in FIG. 14, the exercise support system 400 acquires the support device 100 including a sensor, and the detection output of the sensor from the support device 100. And a computer 500 for doing so. 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 personal computer.

  FIG. 15 is a diagram schematically illustrating a hardware configuration of the computer 500. As shown in FIG. 5, the computer 500 includes 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 an output unit 560. CPU 510, input unit 520, memory 530, memory I / F 540, communication I / F 550, and output unit 560 are connected to each other via an internal bus.

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

  The memory 530 is realized by a storage device such as a RAM and / or a 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 detachable from the computer 500. The CPU 510 reads 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. A program executed by the CPU 510 may be stored in the storage medium 541. Further, the program executed by CPU 510 may be downloaded via a network such as a public network and stored in memory 530.

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

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

  The CPU 510 controls each unit 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 by the CPU 510, and is realized by the memory 530 or the storage medium 541, for example. The output unit 440 is realized by the output unit 560.

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

  For example, the exercise support system may be configured such that the robot performs a given action when the subject performs a given movement action in the correct manner. In this case, the sensor in the support device 100 detects exercise information corresponding to the exercise operation and transmits the exercise information to the computer 500. Based on the motion information, the computer 500 determines that the subject has performed a correct motion and instructs the robot to perform a 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 apparatus 100, the terminal accepts a setting for matching the detection direction of the sensor in the terminal with the detection direction as the support apparatus 100 as illustrated in FIG. Can do. FIG. 16 is a diagram illustrating an example of the acceleration and angular velocity detection directions in the terminal used as the support device 100. FIG. 17 is a diagram illustrating an example of a screen for accepting setting of a detection axis in a terminal used as the support apparatus 100.

  In the terminal shown in FIG. 16, the Y axis is defined along the longitudinal direction, and the X axis is defined along the short direction. When the subject wears the terminal such 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 is necessary to change the definition of the axis at the terminal so that the Y axis is defined along the short direction.

  In the example of FIG. 17, the touch panel 100A of the terminal (support apparatus 100) of FIG. 16 displays a screen for changing the axis. The screen includes software keys 100B representing the X axis and the Y axis. For example, by operating a given software key, the user can change the direction of the axis of acceleration and / or angular velocity detection at the terminal to be suitable for judgment on the motion motion of the subject.

[Change threshold]
In the exercise support system, the threshold value used for the determination about the exercise motion of the subject can be changed. The threshold value storage unit 430 may store a plurality of threshold values corresponding to characteristics of the subject (height, weight, sex, age, and / or height of athletic ability). The determination unit 420 may select a threshold value corresponding to the characteristics of the subject input from the user, and use the threshold value to execute the determination on the exercise operation described with reference to FIG.

[Use of piezoelectric sensor]
The sensor used in the present disclosure is not limited to an inertial sensor such as the acceleration sensor 41 or the gyro sensor 42 as long as it can provide motion information of the subject. FIG. 18 is a diagram for explaining an exercise support system that provides information on exercise motion of a subject using a piezoelectric sensor. 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 casing 102, a sphere 103, a fixture 104, and a piezoelectric sensor unit 110. The attachment 104 attaches the housing 102 to the belt 101 so that the orientation of the housing 102 can be adjusted in the rotational direction indicated by the double-headed arrow 1810. The fixture 104 can fix the orientation of the housing 102 after adjustment.

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

  The sphere 103 is enclosed in the housing 102 and can move in the housing 102 along the direction indicated by the double arrow 1800. When the arm of the subject moves in the direction of the double arrow 1800, the sphere 103 moves in the case 102 at a speed corresponding to the magnitude of the acceleration in the direction of the double arrow 1800 applied to the case 102. Thereby, the spherical body 103 collides with the piezoelectric sensor unit 110 at a speed according to the acceleration.

  FIG. 19 is a diagram illustrating 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.

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

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

  The threshold storage unit 430 (such as the memory 530) stores the magnitude of the electromotive force generated in the piezoelectric element 111 as a threshold for determining the occurrence of a characteristic motion in a given exercise motion. The determination unit 420 (CPU 510) determines whether or not the subject's action corresponds to a characteristic action for the given exercise action, depending on whether or not the electromotive force output from the support device 100X exceeds a threshold value. To do. If 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).

  The embodiment disclosed this time should be considered as illustrative in all points and not restrictive. The scope of the present invention is defined by the terms of the claims, rather than the description above, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims. Moreover, it is intended that the two or more implementation examples shown in the embodiments may be implemented independently or in combination as much as possible.

  20,510 CPU, 24 communication device, 25 input switch, 27 flash memory, 31 memory card, 37 communication interface, 38 vibrator, 41 acceleration sensor, 42 gyro sensor, 100, 100X support device, 100A touch panel, 101 belt, 102 housing Body, 103 sphere, 104 fixture, 110 piezoelectric sensor unit, 111 piezoelectric element, 112 detection circuit, 113 communication circuit, 400 exercise support system, 410 sensor unit, 420 determination unit, 430 threshold storage unit, 440, 560 output unit, 500 computers, 520 input units, 541 storage media, 900 subjects.

Claims (14)

An exercise support system for outputting information for learning of a subject's exercise movement,
An output unit for outputting information;
An exercise information acquisition unit for acquiring exercise information detected by a sensor attached to the subject;
An exercise support system comprising: a control unit that outputs information from the output unit when the exercise information acquired by the exercise information acquisition unit exceeds a threshold set for the exercise operation.   The exercise support system according to claim 1, wherein the control unit outputs the information from the output unit in response to the exercise information acquisition unit acquiring exercise information.   The exercise support system according to claim 1 or 2, wherein the exercise information is acquired in a specific phase of the exercise operation including an arm movement, which is important for correctly performing the exercise operation.   The exercise support system according to claim 1, wherein the exercise operation includes at least one type of operation of running, jumping, and throwing. The exercise operation includes a running operation,
The exercise support system according to claim 4, wherein the exercise information includes information representing flexion or extension of the shoulder joint of the subject in a state where the elbow is bent.   The movement information includes acceleration along at least one of an axis along the longitudinal direction of the subject's arm and an axis along the width direction of the subject's wrist, and an angular velocity about the axis through the palm of the subject, The exercise support system according to claim 5, comprising at least one of the following. The motion motion includes a jump motion,
The exercise support system according to any one of claims 4 to 6, wherein the exercise information includes information representing a change from a flexion position to an extension position of a subject's shoulder joint.   The motion information includes an acceleration of an axis along the longitudinal direction of the subject's arm, and an angular velocity around an axis along at least one of an axis along the width direction of the wrist of the subject and an axis passing through the palm of the subject. The exercise support system according to claim 7, comprising at least one of: The movement motion includes a throwing motion,
The exercise support according to any one of claims 4 to 8, wherein the exercise information is information representing an operation of pulling an upper arm backward by extending, abduction, or external rotation of a subject's shoulder joint. system.   The movement information includes acceleration along at least one of an axis along the width direction of the subject's wrist and an axis along the direction through the palm of the subject, and an axis around the axis along the width direction of the subject's wrist. The exercise support system according to claim 9, comprising at least one of angular velocities.   The exercise support system according to any one of claims 1 to 10, wherein the exercise information acquisition unit is configured by a housing that is configured integrally with the sensor and is attached to a subject's arm. Enclosing the sensor, further comprising a housing to be worn on the arm of the subject,
The exercise support system according to claim 1, wherein the exercise information acquisition unit includes a communication circuit capable of communicating with the sensor. The control unit
Accepts the designation of one of the two or more types of exercise motion,
The exercise support system according to any one of claims 1 to 12, wherein the information is output from the output unit using a threshold set for a specified type of exercise operation. A program executed by a computer,
The program is stored in the computer.
Obtaining movement information detected by a sensor attached to the subject;
Determining whether or not the acquired exercise information exceeds a threshold set for the subject's exercise motion;
Outputting the information when it is determined that the exercise information exceeds the threshold;
A program that executes

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