JP6497105B2 - Exercise evaluation device - Google Patents

Description

  The present invention relates to a motion evaluation apparatus for evaluating a motion of a subject.

  In training for the purpose of early recovery of motor function and prevention of deterioration, such as rehabilitation and exercise support for the elderly, training that can achieve a large effect while reducing the burden on the user is required.

  Therefore, for example, in the motion display device described in Patent Document 1, the force input of each part of the body and the degree of muscle expansion are measured by a sensor such as a myoelectric potential sensor, and the measurement result is displayed on a display unit provided at the measurement site. Display. According to this motion display device, the user can correct his / her motion to a correct motion by confirming the display unit, thereby avoiding excessive motion.

  Moreover, in the monitoring apparatus described in Patent Literature 2, information on the user's movement is acquired by the acceleration sensor and the angular velocity sensor, the user's biological information is acquired by the pulse wave sensor, and the body that combines both the movement and the biological information. Monitor status. For example, if the pulse is abnormally high despite the small amount of exercise, an alarm is output. Thereby, the user can take a risk avoidance measure such as temporarily suspending the training.

JP 2010-246636 A Japanese Patent Laid-Open No. 2003-24287

  In order to enhance the training effect, it is necessary to avoid excessive exercise and to allow the user to perform appropriate exercise that matches the physical condition. However, the motion display device described in Patent Document 1 merely displays the degree of force in each part of the body and the degree of muscle expansion. Here, a physical state appears in the degree of force and muscle expansion of each part of the user's body. However, it is difficult for the user to confirm the user's body condition even if the user confirms the display of the degree of force in each part of the body and the degree of muscle expansion. In the monitoring device described in Patent Literature 2, the user's biological information is detected, and the user's physical condition is monitored based on the biological information. However, when the user is exercising slowly, the physical state is unlikely to appear in the biological information, and it is difficult to obtain the physical state from the biological information. Further, in order to enhance the training effect, it is necessary to evaluate how appropriate the user's exercise is in relation to the condition for obtaining a good training effect and to optimize the exercise to be performed by the user. Conventionally, there has not been provided a motion evaluation apparatus that meets such requirements.

  This invention is made in view of the situation demonstrated above, The 1st objective is to provide the exercise | movement evaluation apparatus which can evaluate a user's physical condition appropriately. A second object of the present invention is to provide an exercise evaluation apparatus that can evaluate how appropriate a user's exercise is in relation to conditions for obtaining a good training effect.

  The present invention includes a first sensor that detects a movement of a first part of a human body, and a second sensor that detects a movement of a second part that moves the first part of the human body. An exercise evaluation apparatus is provided.

  According to such an exercise evaluation apparatus, the user's physical condition can be evaluated based on the detection signal obtained from the first sensor and the detection signal obtained from the second sensor. Further, according to this motion evaluation apparatus, a good training effect can be obtained from the relationship between the movement of the first part detected by the first sensor and the movement of the second part detected by the second sensor. It is possible to evaluate how appropriate the user exercise is in relation to the conditions. For example, depending on the type of exercise, an appropriate range of movement of the other part for obtaining a good training effect may be determined by movement of one part of the first part or the second part. According to this motion evaluation apparatus, since the movement of the first part is detected by the first sensor and the movement of the second part is detected by the second sensor, the movement of the first part or the second part is detected. Based on the movement of one part, an appropriate range of movement of the other part can be determined, and the movement of the other part can be evaluated in relation to the appropriate range. Further, depending on the type of exercise, a good training effect may be obtained only when the movement of one of the first part and the second part is within an appropriate range. According to this motion evaluation apparatus, since the movement of the first part is detected by the first sensor and the movement of the second part is detected by the second sensor, the movement of the first part or the second part is detected. Based on the relationship with the appropriate range of movement of one part, the movement of the other part of the first part or the second part can be evaluated, and how much exercise with good training effect is performed. Can be evaluated.

It is a figure which shows the structure of the exercise | movement evaluation apparatus 1 which is 1st Embodiment of this invention. It is a block diagram which shows the function structure of the exercise | movement evaluation apparatus 1 in the embodiment. It is a figure which shows the example of the evaluation of the exercise | movement and evaluation of a physical state which the evaluation part 220 performs in the same embodiment. It is a figure which shows the other example of the evaluation of the body state which the evaluation part 220 performs in the same embodiment. 4 is a flowchart showing processing contents of an interrupt processing program executed by an evaluation unit 220 in the embodiment. It is a figure which shows the acceleration waveform sample V1 'memorize | stored in the information storage part 230 in the same embodiment, the contraction waveform sample V2', and frame reception time. It is a figure which shows a mode that the information regarding the peak detected from an acceleration waveform and a contraction waveform is stored in a peak detection area in the same embodiment. It is a figure which shows the example of a display of the physical condition evaluation value V1'pp / V2'pp in the embodiment. It is a figure which shows the example of a display of the physical condition evaluation value tpd in the embodiment. It is a figure which shows the structure of 1 A of exercise | movement evaluation apparatuses which are 2nd Embodiment of this invention. It is a block diagram which shows the function structure of the exercise | movement evaluation apparatus 1A in the embodiment. It is a figure which shows the structure of the exercise | movement evaluation apparatus 1B which is 3rd Embodiment of this invention. It is a block diagram which shows the function structure of the exercise | movement evaluation apparatus 1B in the embodiment. It is a flowchart which shows the processing content of the interruption processing program which the evaluation part 220B performs in the same embodiment. It is a figure which shows the example of a display of the evaluation result of the walking speed and knee flexion angle in the embodiment. It is a figure which shows the example of a display of the distribution map which shows the relationship between the walking speed and the knee bending angle in the embodiment. It is a figure which shows the structure of 1 C of exercise | movement evaluation apparatuses which are 4th Embodiment of this invention. It is a block diagram which shows the function structure of the exercise | movement evaluation apparatus 1C in the embodiment. It is a flowchart which shows the processing content of the interruption processing program which the evaluation part 220C performs in the same embodiment.

  Embodiments of the present invention will be described below with reference to the drawings.

<First Embodiment>
FIG. 1 is a diagram showing a configuration of a motion evaluation apparatus 1 according to the first embodiment of the present invention. The exercise evaluation device 1 according to the present embodiment has a function of evaluating the user's physical condition in addition to the function of evaluating the user's exercise.

  As shown in FIG. 1, the exercise evaluation device 1 includes an exercise evaluation device 10 and an information processing device 20. The exercise evaluation device 10 includes a main sensor unit 110, an auxiliary sensor unit 120, a signal line 130, and a mounting unit 115. The main sensor unit 110 and the auxiliary sensor unit 120 are connected by a signal line 130.

  The main sensor unit 110 has a ring shape, is fixed to a mounting unit 115 that can be attached to and detached from the wrist, and is mounted on the user's wrist. The auxiliary sensor unit 120 has a fixing unit attached thereto, and is directly attached to the upper arm portion (excluding the elbow) of the user via the fixing unit.

  FIG. 2 is a block diagram showing a functional configuration of the exercise evaluation apparatus 1. The main sensor unit 110 includes detection circuits 111_1 and 111_2, A / D conversion circuits 112_1 and 112_2, arithmetic circuits 113_1 and 113_2, a communication circuit 114, and an acceleration sensor 116. In addition, the auxiliary sensor unit 120 includes a strain sensor 121.

  The acceleration sensor 116 is fixed to the user's wrist. The detection circuit 111_1 takes out a detection signal of a voltage value corresponding to the acceleration of the user's wrist from the acceleration sensor 116 and outputs it. The A / D conversion circuit 112_1 performs A / D conversion on the detection signal at a constant sampling rate, and outputs the detection signal to the arithmetic circuit 113_1 as an acceleration waveform sample V1 indicating the acceleration waveform of the user's wrist. When the arithmetic circuit 113_1 acquires the acceleration waveform sample V1 from the A / D conversion circuit 112_1, the arithmetic circuit 113_1 performs various calculations on the acceleration waveform sample V1. For example, the arithmetic circuit 113_1 processes the acceleration waveform sample V1 and reduces the amount of data at the time of transmission by performing a filtering process using a moving average on the acceleration waveform sample V1. When the arithmetic circuit 113_1 executes the above arithmetic operation, the arithmetic circuit 113_1 outputs the arithmetic result to the communication circuit 114 as the acceleration waveform sample V1 '. The strain sensor 121 is fixed to the surface of the skin covering the muscles of the user's arm that performs the exercise of shaking the wrist. The detection circuit 111_2 takes out a detection signal having a voltage value corresponding to the contraction / expansion of the muscle of the user's arm from the strain sensor 121 via the signal line 130 and outputs the signal. The A / D conversion circuit 112_2 A / D converts this detection signal at a constant sampling rate, and outputs it to the arithmetic circuit 113_2 as a contraction waveform sample V2 indicating the contraction / expansion waveform of the muscles of the user's arm. When the arithmetic circuit 113_2 acquires the contraction waveform sample V2 from the A / D conversion circuit 112_2, the arithmetic circuit 113_2 performs the above calculation on the contraction waveform sample V2, and outputs the calculation result to the communication circuit 114 as the contraction waveform sample V2 '.

  In the present embodiment, the acceleration sensor 116 functions as a first sensor that detects the movement of the first part (wrist) of the human body, and the second part (arm of the arm) that the strain sensor 121 moves the first part of the human body. It functions as a second sensor that detects the movement of the muscle).

  For simplicity, in this embodiment, the case where the sampling rates of the A / D conversion circuits 112_1 and 112_2 are the same will be described, but the sampling rates of the A / D conversion circuits 112_1 and 112_2 may be different. The same applies to second to fourth embodiments described later.

  Every time one acceleration waveform sample V1 ′ and one contraction waveform sample V2 ′ are supplied from the arithmetic circuits 113_1 and 113_2, the communication circuit 114 includes the acceleration waveform sample V1 ′ and the contraction waveform sample V2 ′. The frame is assembled and wirelessly transmitted to the information processing apparatus 20.

  The information processing apparatus 20 is a mobile terminal such as a mobile phone, and includes a communication unit 210, an evaluation unit 220, an information storage unit 230, and an information output unit 240. The communication unit 210 is a device that receives a frame from the communication circuit 114 of the exercise evaluation device 10 and outputs the frame to the evaluation unit 220.

  The evaluation unit 220 is means for performing arithmetic processing, and includes, for example, a CPU, a ROM storing a program executed by the CPU, a RAM used as a work area by the CPU, and the like. The information storage unit 230 is a nonvolatile memory such as an EEPROM. The information output unit 240 includes a display unit that displays various types of information, a sound system that outputs sound, and the like.

  The CPU of the evaluation unit 220 extracts the acceleration waveform sample V1 'and the contraction waveform sample V2' from the frames sequentially received by the communication unit 210 according to the program stored in the ROM, and stores them in the information storage unit 230. Then, the CPU of the evaluation unit 220 evaluates the user's motion based on the sample sequence of the acceleration waveform sample V1 ′ and the sample sequence of the contraction waveform sample V2 ′ in the information storage unit 230, and forms the user's body The state, more specifically, the state of muscle such as tension and fatigue is evaluated, and the evaluation result is output by the information output unit 240.

  FIG. 3 is a diagram illustrating an example of exercise evaluation and body state evaluation performed by the evaluation unit 220. The evaluation unit 220 detects the positive peak and the negative peak of the acceleration waveform from the sample sequence of the acceleration waveform sample V <b> 1 ′ stored in the information storage unit 230. The evaluation unit 220 detects a positive peak and a negative peak of the contraction waveform from the sample sequence of the contraction waveform sample V2 ′ stored in the information storage unit 230. Then, every time the evaluation unit 220 detects the positive peak and the negative peak of the acceleration waveform and the positive peak and the negative peak of the contraction waveform, the difference V1′pp (the amplitude of the acceleration waveform) between the positive peak and the negative peak of the acceleration waveform. ) And the difference between the positive peak and the negative peak of the contraction waveform V2′pp (the amplitude of the contraction waveform, that is, the width of muscle contraction). Then, the evaluation unit 220 calculates the ratio V1′pp / V2′pp by dividing the former difference by the latter difference. In the present embodiment, the difference V1′pp between the positive peak and the negative peak of the acceleration waveform is used as the evaluation value of the user's movement, and the ratio V1′pp / V2′pp is used as the physical condition evaluation value indicating the physical condition of the user. use.

  FIG. 4 is a diagram illustrating another example of body condition evaluation performed by the evaluation unit 220. In this example, the evaluation unit 220 calculates a delay time tpd between the positive peak of the acceleration waveform and the positive peak of the contraction waveform, and uses this delay time tpd as the body state evaluation value. The exercise evaluation is the same as the example shown in FIG.

  Next, the operation of the motion evaluation apparatus 1 according to the present embodiment will be described. The user wears the wearing part 115 on the wrist, attaches the auxiliary sensor part 120 to the arm part, wears the exercise evaluation device 10, and exercises to shake the wrist.

  While the user performs a motion of shaking the wrist, the detection circuit 111_1 takes out a detection signal of a voltage value corresponding to the acceleration acting on the wrist of the user from the acceleration sensor 116, and the A / D conversion circuit 112_1 outputs the detection signal to the A / D The acceleration waveform sample V1 is converted and output to the arithmetic circuit 113_1. The arithmetic circuit 113_1 performs various calculations (such as filtering processing) on the acceleration waveform sample V1, and outputs the calculation result to the communication circuit 114 as the acceleration waveform sample V1 '. Further, the detection circuit 111_2 takes out a detection signal of a voltage value corresponding to the contraction of the user's arm muscles or skin surface from the strain sensor 121, and the A / D conversion circuit 112_2 performs A / D conversion on the detection signal to contract. The waveform sample V2 is output to the arithmetic circuit 113_2. When the arithmetic circuit 113_2 acquires the contraction waveform sample V2 from the A / D conversion circuit 112_2, the arithmetic circuit 113_2 performs the above calculation on the contraction waveform sample V2, and outputs the calculation result to the communication circuit 114 as the contraction waveform sample V2 '.

  Whenever the communication circuit 114 receives the acceleration waveform sample V1 ′ from the arithmetic circuit 113_1 and receives the contraction waveform sample V2 ′ from the arithmetic circuit 113_2, the communication circuit 114 wirelessly transmits a frame including the samples V1 ′ and V2 ′ to the information processing apparatus 20. .

  The evaluation unit 220 of the information processing apparatus 20 executes an interrupt processing program each time the communication unit 210 receives a frame from the communication circuit 114. FIG. 5 is a flowchart showing the processing contents of this interrupt processing program.

  First, the evaluation unit 220 extracts the acceleration waveform sample V1 ′ and the contraction waveform sample V2 ′ from the frame received by the communication unit 210, and stores the acceleration waveform sample V1 ′ and the contraction waveform sample V2 ′ together with the frame reception time as an information storage unit. 230 (step SA1). FIG. 6 shows a state in which the frame reception time, the acceleration waveform sample V1 ′, and the contraction waveform sample V2 ′ are sequentially stored in the information storage unit 230 in this manner.

  Next, the evaluation unit 220 sets a positive peak or a negative peak in a column of acceleration waveform samples V1 ′ and contraction waveform samples V2 ′ most recently stored in the information storage unit 230 (a predetermined number of samples up to the last stored sample). It is determined whether or not there is (step SA2). If this determination result is “NO”, the evaluation unit 220 ends the interrupt processing program. On the other hand, when the determination result in step SA2 is “YES”, the evaluation unit 220 stores information on the detected peak in the peak detection area set in the RAM (step SA3).

  FIG. 7 exemplifies a state where the acceleration waveform indicated by the acceleration waveform sample V1 ′ and the contraction waveform indicated by the contraction waveform sample V2 ′ and information regarding the peak detected from the acceleration waveform and the contraction waveform are stored in the peak detection area. .

  As shown in FIG. 7, the peak detection area stores an area for storing information about the positive peak P1 of the contraction waveform, an area for storing information about the negative peak P2 of the contraction waveform, and information about the positive peak P3 of the acceleration waveform. And an area for storing information on the negative peak P4 of the acceleration waveform. In the initial state, each area stores data null indicating that no corresponding peak exists.

  In the example shown in FIG. 7, the positive peak P1_1 of the contraction waveform is detected when step SA2 is executed, and information about the positive peak P1_1 of the contraction waveform is stored in the peak detection area in step SA3 immediately after that. Here, the information related to the positive peak P1_1 of the contraction waveform specifically refers to the contraction waveform sample V2 ′ corresponding to the positive peak P1_1 and the acceleration waveform sample V1 ′ paired with the contraction waveform sample V2 ′ in the information storage unit 230. And an address indicating an area in which the frame reception time is stored. The same applies to information on other peaks.

  When step SA3 is completed, the evaluation unit 220 determines whether or not the processing target peaks are aligned, specifically, information on the positive peak P1 of the contraction waveform, information on the negative peak P2 of the contraction waveform, and the positive peak P3 of the acceleration waveform. It is determined whether or not all information and information related to the negative peak P4 of the acceleration waveform are stored in the peak detection area (step SA4).

  At this time, only information related to the positive peak P1_1 of the contraction waveform is stored in the peak detection area. Therefore, the determination result in step SA4 is “NO”, and the evaluation unit 220 ends the interrupt processing program.

  In the example shown in FIG. 7, when the interrupt processing program is subsequently executed by frame reception, a positive peak P3_1 of the acceleration waveform is detected in step SA2, and information on the positive peak P3_1 of this acceleration waveform is detected in step SA3 immediately thereafter. Is stored in the peak detection area. Next, the negative peak P2_1 of the contraction waveform is detected (step SA2), and information regarding this is stored in the peak detection area (step SA3). Next, the negative peak P4_1 of the acceleration waveform is detected (step SA2), and information regarding this is stored in the peak detection area (step SA3). When all of the information regarding the four processing target peaks are collected in the peak detection area in this way, the determination result in step SA4 is “YES”.

  Therefore, the evaluation unit 220 accesses the information storage unit 230 using information stored in the peak detection area (the address of the sample corresponding to each peak), and corresponds to the positive peak P1_1 and the negative peak P2_1 of the contraction waveform. Each sample and each sample corresponding to the positive peak P3_1 and negative peak P4_1 of the acceleration waveform are read out. Then, the evaluation unit 220 uses these read data to determine the difference V1′pp (= P3_1−P4_1) between the peaks of the acceleration waveform, the difference V2′pp (= P1_1−P2_1) between the peaks of the contraction waveform, and the physical state. Evaluation value V1′pp / V2′pp is calculated (step SA5).

  Next, the evaluation unit 220 stores the calculated difference V1′pp between the peaks of the acceleration waveform, the difference V2′pp between the peaks of the contraction waveform, and the physical state evaluation value V1′pp / V2′pp in the information storage unit 230 ( Step SA6).

  Next, the evaluation unit 220 displays V1′pp, V2′pp, and V1′pp / V2′pp stored in the information storage unit 230 on the information output unit 240 in a time series graph (step SA7). Next, the evaluation unit 220 clears the peak detection area (step SA8). Specifically, the evaluation unit 220 stores data null in four areas of the peak detection area. Then, the evaluation unit 220 ends the interrupt processing program.

  The evaluation unit 220 executes the above interrupt processing program each time the communication unit 210 receives a frame. Then, as illustrated in FIG. 7, similar processing is performed on the subsequent peaks P1_2, P2_2, P3_2, P4_2, and the like appearing in the contraction waveform and the acceleration waveform, and the difference V1′pp between the peaks of the acceleration waveform, the contraction waveform The peak difference V2′pp and the body condition evaluation value V1′pp / V2′pp are calculated, stored in the information storage unit 230, and displayed in the graph by the information output unit 240.

  FIG. 8 is a diagram showing a time transition of the body condition evaluation values V1′pp / V2′pp displayed by the information output unit 240. In order to prevent the drawing from becoming complicated, the graphs of the acceleration waveform peak-to-peak difference V1'pp and the contraction waveform peak-to-peak difference V2'pp are omitted. In FIG. 8, the horizontal axis indicates time, and the vertical axis indicates V1'pp / V2'pp. As shown in FIG. 8, when the body condition evaluation value V1'pp / V2'pp decreases with time, it can be determined that the user's body tension and physical condition are worsening. This is due to the following reasons.

  When the user's body is tense or unwell, the user tends to move more muscles or exert more force than necessary for the exercise, in which case the detection output by the strain sensor 121 The value of the contraction waveform sample V2 ′ obtained from the signal increases. Therefore, the peak-to-peak difference V2'pp of the contraction waveform calculated by the evaluation unit 220 increases and the body condition evaluation value V1'pp / V2'pp decreases. Therefore, when the body condition evaluation value V1'pp / V2'pp decreases with time, it may be determined that the user's body tension and physical condition are worsening.

  As described above, the case where the ratio V1′pp / V2′pp is calculated as the body condition evaluation value has been described as an example. However, as described with reference to FIG. The delay time tpd may be calculated. In this case, the evaluation unit 220 of the information processing device 20 determines the frame reception time stored in the information storage unit 230 as a set with the sample corresponding to the positive peak of the acceleration waveform and the contraction in step SA6 of the interrupt processing program. What is necessary is just to calculate the time difference between the sample corresponding to the positive peak of the waveform and the frame reception time stored in the information storage unit 230 as a set as the delay time tpd (= physical condition evaluation value).

  FIG. 9 is a diagram showing a temporal transition of the body condition evaluation value tpd displayed by the information output unit 240 in this aspect. In FIG. 9, the horizontal axis indicates time, and the vertical axis indicates the body condition evaluation value tpd. As shown in FIG. 9, when the body condition evaluation value tpd increases with time, it can be determined that the user's body tension and physical condition are worsening.

  When the user's body is tense, when the physical condition is bad, the delay time from when the user moves the muscle until the effect, that is, the wrist movement appears, increases. Therefore, when the body condition evaluation value tpd increases with time, it may be determined that the user's body tension and physical condition are worsening.

  As described above, in the present embodiment, since the information processing apparatus 20 displays the physical state in a graph so that the user can visually recognize the user, the user can take appropriate measures such as taking a break. Moreover, since the user can exercise in a perfect state, the efficiency of exercise can be increased and the exercise ability can be improved early.

Second Embodiment
FIG. 10 is a diagram showing a configuration of an exercise evaluation apparatus 1A according to the second embodiment of the present invention. As illustrated in FIG. 10, the exercise evaluation device 1 </ b> A includes an exercise evaluation device 10 </ b> A and an information processing device 20. The exercise evaluation device 10 </ b> A includes a main sensor unit 110 </ b> A, an auxiliary sensor unit 120, and a signal line 130. The exercise evaluation device 10 </ b> A includes a main sensor unit 110 </ b> A, an auxiliary sensor unit 120, and a signal line 130. In FIG. 10, the same reference numerals are given to portions common to FIG. 1, and detailed description thereof is omitted.

  In the present embodiment, the main sensor unit 110A has a fixing means attached thereto, and is directly attached to the user's finger via the fixing means. The auxiliary sensor unit 120 has a fixing means attached thereto, and is directly attached to the user's arm part (excluding the elbow) via the fixing means.

  FIG. 11 is a block diagram showing a functional configuration of the exercise evaluation apparatus 1A. In FIG. 11, the same reference numerals are given to portions common to FIG. 2, and detailed description thereof is omitted.

  11 is different from FIG. 2 in that a main sensor unit 110A includes a strain sensor 121_1 instead of the acceleration sensor 116. The strain sensor 121_1 is a sensor for detecting bending of a finger joint of a user who performs rock climbing, for example.

  In this embodiment, the user wears the exercise evaluation device 10A by sticking the main sensor unit 110A to the finger and the auxiliary sensor unit 120 to the arm, and performs rock climbing, for example.

  The detection circuit 111_1 takes out and outputs a detection signal having a voltage value corresponding to the bending of the user's finger joint from the strain sensor 121_2. The A / D conversion circuit 112_1 performs A / D conversion on the detection signal at a predetermined sampling rate, and outputs a bending angle waveform sample V1 indicating a bending waveform of the user's finger joint to the arithmetic circuit 113_1. When the arithmetic circuit 113_1 acquires the bending angle waveform sample V1 from the A / D conversion circuit 112_1, the arithmetic circuit 113_1 performs various calculations on the bending angle waveform sample V1. For example, the arithmetic circuit 113_1 performs the filtering process by the moving average on the bending angle waveform sample V1, thereby processing the bending angle waveform sample V1 and reducing the data amount at the time of transmission. When the arithmetic circuit 113_1 executes the above arithmetic operation, the arithmetic circuit 113_1 outputs the arithmetic result to the communication circuit 114 as the bending angle waveform sample V1 '. In the present embodiment, the strain sensor 121_1 serves as a first sensor that detects the movement of the first part (finger joint) of the human body.

  The detection circuit 111_2 takes out a detection signal of a voltage value corresponding to the contraction of the user's arm muscles or skin surface from the strain sensor 121_2 and outputs it. The A / D conversion circuit 112_2 A / D converts this detection signal at a predetermined sampling rate, and outputs it to the arithmetic circuit 113_2 as a contraction waveform sample V2 indicating a contraction waveform of the user's arm muscles or skin surface. When the arithmetic circuit 113_2 acquires the contraction waveform sample V2 from the A / D conversion circuit 112_2, the arithmetic circuit 113_2 performs the above calculation on the contraction waveform sample V2, and outputs the calculation result to the communication circuit 114 as the contraction waveform sample V2 '. In the present embodiment, the strain sensor 121_2 serves as a second sensor that detects the movement of the second part (arm muscle) that moves the first part of the human body.

  Whenever one bending angle waveform sample V1 ′ and one contraction waveform sample V2 ′ are supplied, the communication circuit 114 processes a frame including the bending angle waveform sample V1 ′ and the contraction waveform sample V2 ′. 20 is transmitted wirelessly.

The function and configuration of the information processing apparatus 20 are basically the same as those in the first embodiment.
In the present embodiment, the information processing apparatus 20 is configured to calculate the difference between the peaks V1′pp of the bending waveform of the user's finger joint and the body state evaluation value V1′pp / V2′pp indicating the body state of the user performing exercise. Display a graph showing the time transition. Therefore, the user can exercise while being aware of the relationship between the movement of the finger and the physical state. For example, when the peak-to-peak difference V1′pp of the bending curve of the user's finger joint decreases with time and the body condition evaluation value V1′pp / V2′pp decreases with time, the user It can be determined that the cause of the decrease in the degree of bending is the accumulation of fatigue.

  Thus, since the information processing apparatus 20 displays the physical state in a graph so that the user can visually recognize the user, the user can take appropriate measures such as taking a break. As a result, the user can prevent injury and mistakes.

  Also, in rock climbing, if the entire body has more force than necessary or is abnormally tense, rock climbing cannot be performed efficiently with limited finger power. In order to perform rock climbing efficiently, it is necessary to apply power to the body only when necessary, and otherwise, the entire body must be relaxed. According to the present embodiment, the user confirms the graph of the physical condition evaluation value V1′pp / V2′pp displayed by the information output unit 240, and takes an appropriate action such as taking a break, whereby the physical condition Can be realized. Therefore, it is possible to perform rock climbing efficiently with limited finger force.

  Further, according to the present embodiment, it can be used not only for rock climbing but also for various operations such as sports involving bending of other finger joints, playing musical instruments such as a piano, factory work, office work, and the like. As a result, the subject can improve athletic ability, improve performance of musical instruments, and prevent injury and tendonitis.

<Third Embodiment>
FIG. 12 is a diagram showing a configuration of an exercise evaluation apparatus 1B according to the third embodiment of the present invention. In the present embodiment, it is assumed that an evaluation target is a movement in which an appropriate range of movement of the other part for obtaining a good training effect is determined by movement of one part of the first part or the second part of the human body. doing. Specifically, in this embodiment, walking is assumed as an evaluation target. In walking training, an appropriate range of knee flexion angles (movement of the second part) that provides a good training effect depends on walking speed (movement of the first part). Therefore, in the present embodiment, the walking speed of the user is obtained using the first sensor, the bending angle of the user's knee is obtained using the second sensor, and the knee bending angle corresponding to the walking speed is determined appropriately. The user's knee flexion angle is evaluated in relation to the range.

  As shown in FIG. 12, the exercise evaluation device 1B includes an exercise evaluation device 10B and an information processing device 20B. The exercise evaluation device 10B includes a main sensor unit 110B, an auxiliary sensor unit 120B, a signal line 130, and a mounting unit 115B. In FIG. 12, the same reference numerals are given to portions common to FIG. 1, and detailed description thereof is omitted.

  The main sensor unit 110B has a fixing means attached thereto, and is directly attached to the user's knee through the fixing means. The auxiliary sensor unit 120B has a ring shape, is fixed to a mounting unit 115B that can be attached to and detached from the leg, and is mounted on the user's leg.

  FIG. 13 is a block diagram showing a functional configuration of the exercise evaluation apparatus 1B. The main sensor unit 110B includes detection circuits 111_1 and 111_2, A / D conversion circuits 112_1 and 112_2, arithmetic circuits 113_1 and 113_2, a communication circuit 114, and a strain sensor 121. In addition, the auxiliary sensor unit 120B includes an acceleration sensor 116. In the present embodiment, the acceleration sensor 116 serves as a first sensor that detects the movement of the first part (leg) of the human body, and the strain sensor 121 moves the second part (moving the first part of the human body). It serves as a second sensor for detecting the movement (flexion angle) of the knee. In FIG. 13, the same reference numerals are given to portions common to FIG. 2, and detailed description thereof is omitted.

  The detection circuit 111_1 extracts and outputs a detection signal having a voltage value corresponding to the knee flexion angle from the strain sensor 121. The A / D conversion circuit 112_1 A / D converts this detection signal at a constant sampling rate, and outputs it to the arithmetic circuit 113_1 as a bending angle waveform sample V2 indicating the bending angle waveform of the user's knee. When the arithmetic circuit 113_1 acquires the bending angle waveform sample V2 from the A / D conversion circuit 112_1, the arithmetic circuit 113_1 performs various operations on the bending angle waveform sample V2. For example, the arithmetic circuit 113_1 processes the bending angle waveform sample V2 and reduces the amount of data at the time of transmission by performing a filtering process by moving average on the bending angle waveform sample V2. When the arithmetic circuit 113_1 executes the above arithmetic operation, the arithmetic circuit 113_1 outputs the arithmetic result to the communication circuit 114 as the bending angle waveform sample V2 '.

  The detection circuit 111_2 takes out a detection signal having a voltage value corresponding to the acceleration of the user's leg from the acceleration sensor 116 and outputs it. The A / D conversion circuit 112_2 A / D converts this detection signal at a predetermined sampling rate, and outputs it to the arithmetic circuit 113_2 as an acceleration waveform sample V1 indicating the acceleration waveform of the user's leg. When the arithmetic circuit 113_2 acquires the acceleration waveform sample V1 from the A / D conversion circuit 112_2, the arithmetic circuit 113_2 performs the above calculation on the acceleration waveform sample V1, and outputs the calculation result to the communication circuit 114 as the acceleration waveform sample V1 '.

  Whenever one acceleration waveform sample V1 ′ and one bending angle waveform sample V2 ′ are supplied, the communication circuit 114 processes a frame including the acceleration waveform sample V1 ′ and bending angle waveform sample V2 ′. Radio transmission to 20B.

  Similar to the first embodiment, the information processing apparatus 20B includes a communication unit 210, an evaluation unit 220B, an information storage unit 230B, and an information output unit 240B.

  The communication unit 210 receives a frame wirelessly transmitted by the communication circuit 114. The information storage unit 230B stores a table indicating an appropriate range of knee flexion angles according to walking speed. The evaluation unit 220B executes the interrupt processing program every time the communication unit 210 receives a frame. In this interrupt processing program, the evaluation unit 220B extracts the acceleration waveform sample V1 'and the bending angle waveform sample V2' from the frame, and calculates the user's walking speed based on the acceleration waveform sample V1 '. Then, based on the table in the information storage unit 230B, an appropriate range of knee flexion angles corresponding to the walking speed is obtained. Then, the evaluation unit 220B evaluates the knee bending angle indicated by the bending angle waveform sample V2 'based on the appropriate range. The information output unit 240B displays information indicating the evaluation result of the knee flexion angle.

  Next, operation | movement of the exercise | movement evaluation apparatus 1B by this embodiment is demonstrated. The user wears the exercise evaluation device 10B by attaching the attachment unit 115B to the leg and attaching the auxiliary sensor unit 120B to the knee, and walks.

  While the user is walking, the detection circuit 111_2 takes out a detection signal having a voltage value corresponding to the acceleration acting on the user's leg from the acceleration sensor 116, and the A / D conversion circuit 112_2 performs A / D conversion on the detection signal. The acceleration waveform sample V1 is output to the arithmetic circuit 113_2. The arithmetic circuit 113_2 performs various arithmetic operations (such as filtering processing) on the acceleration waveform sample V1, and outputs the arithmetic result to the communication circuit 114 as the acceleration waveform sample V1 '. The detection circuit 111_1 takes out a detection signal having a voltage value corresponding to the knee flexion angle of the user from the strain sensor 121, and the A / D conversion circuit 112_1 A / D converts the detection signal to a flexion angle waveform sample V2. Is output to the arithmetic circuit 113_1. When the arithmetic circuit 113_1 acquires the bending angle waveform sample V2 from the A / D conversion circuit 112_1, the arithmetic circuit 113_1 performs the above calculation on the bending angle waveform sample V2, and outputs the calculation result to the communication circuit 114 as the bending angle waveform sample V2 ′. .

  Each time the communication circuit 114 receives one acceleration waveform sample V1 'and one bending angle waveform sample V2', the communication circuit 114 wirelessly transmits a frame including the samples V1 'and V2' to the information processing apparatus 20B.

  Each time the communication unit 210 receives a frame from the communication circuit 114, the evaluation unit 220B of the information processing device 20B executes an interrupt processing program. FIG. 14 is a flowchart showing the processing contents of this interrupt processing program.

  First, the evaluation unit 220B extracts the acceleration waveform sample V1 'and the bending angle waveform sample V2' from the frame received by the communication unit 210, and stores them in the information storage unit 230B together with the frame reception time (step SB1).

  Next, the evaluation unit 220B calculates the walking speed of the user by integrating the acceleration waveform sample V1 'extracted from the frame (step SB2).

  Next, the evaluation unit 220B determines whether or not there is a positive peak in the column of bending angle waveform samples V2 ′ (predetermined number of samples up to the last stored sample) stored in the information storage unit 230B. (Step SB3). If the determination result is “NO”, the evaluation unit 220B ends the interrupt processing program.

  On the other hand, when the determination result in step SB3 is “YES”, the evaluation unit 220B reads from the information storage unit 230B an appropriate range of knee flexion angles corresponding to the latest walking speed calculated in step SB2 (step SB4). . Next, the evaluation unit 220B reads the bending angle waveform sample V2 ′ corresponding to the positive peak of the knee bending angle waveform detected in step SB3 from the information storage unit 230B, and reads the bending angle waveform sample V2 ′ in step SB4. Evaluation is performed based on the appropriate range (step SB5). Then, the evaluation unit 220B outputs the evaluation result of the knee flexion angle (step SB6). Specifically, the evaluation unit 220B stores the evaluation result of the user's walking speed, the knee flexion angle waveform sample V2 ′, and the knee flexion angle in the information storage unit 230B, and the information output unit 240B in time series. Display a graph. Then, the evaluation unit 220B ends the interrupt processing program.

  FIG. 15A illustrates the walking speed of the user displayed on the information output unit 240B in step SB6. FIG. 15B illustrates the evaluation result of the bending angle of the user's knee displayed on the information output unit 240B in step SB6. In these figures, the horizontal axis is the time axis. In the example shown in FIG. 15B, the relative relationship of the bending angle of the user's knee to the appropriate range of the bending angle determined according to the walking speed is shown. In this example, the user tends to have the knee flexion angle larger than the appropriate range at the beginning of walking, but as the time elapses from the start of walking, the knee flexion angle gradually falls within the proper range and walking It will be stable.

  Thus, according to this embodiment, when the user walks, the knee flexion angle is evaluated based on the appropriate range corresponding to the walking speed, and the evaluation result is displayed. Therefore, the user can objectively evaluate how much the knee is walking at an appropriate knee flexion angle with respect to the walking speed.

  In addition, the evaluation unit 220B in the present embodiment detects the walking speed and the knee flexion angle and stores them in the information storage unit 230B while the user walks. Therefore, as illustrated in FIGS. 16A and 16B, the knee flexion angle with respect to the user walking speed is expressed in two-dimensional coordinates including a horizontal axis indicating the user walking speed and a vertical axis indicating the knee bending angle. A distribution map showing the relationship may be displayed. By doing in this way, the feature of a user's walk can be visualized and effective walk training can be realized.

<Fourth embodiment>
FIG. 17 is a diagram showing a configuration of an exercise evaluation apparatus 1C according to the fourth embodiment of the present invention. In the present embodiment, it is assumed that an exercise that provides a good training effect is an evaluation target only when the movement of one of the first part and the second part of the human body is within the appropriate range. ing. Specifically, in the present embodiment, a slow arm bending / extending motion is assumed as an evaluation target. Slow exercise is recommended because it is less painful. One of these is the arm bending and stretching movement. In this arm bending and stretching training, it is necessary to perform arm bending and stretching in a state where the acceleration acting on the wrist is within the upper limit value in order to obtain a good training effect. Therefore, in the present embodiment, the acceleration of the user's wrist is obtained using the first sensor, the bending angle of the user's elbow is obtained using the second sensor, and the acceleration of the user's wrist and the appropriate range thereof are determined. Based on the relationship, the arm bending and stretching motion (elbow bending motion) is evaluated.

  As shown in FIG. 17, the exercise evaluation device 1C includes an exercise evaluation device 10C and an information processing device 20C. The exercise evaluation device 10 </ b> C includes a main sensor unit 110 </ b> C, an auxiliary sensor unit 120 </ b> C, a signal line 130, and a mounting unit 115. In FIG. 17, the same reference numerals are given to portions common to FIG. 1, and detailed description thereof is omitted.

  The main sensor unit 110C has a fixing means attached thereto, and is directly attached to the user's elbow via the fixing means. The auxiliary sensor unit 120 </ b> C has a ring shape and is mounted on the user's wrist by the mounting unit 115.

  FIG. 18 is a block diagram illustrating a functional configuration of the exercise evaluation apparatus 1C. The main sensor unit 110C includes detection circuits 111_1 and 111_2, A / D conversion circuits 112_1 and 112_2, arithmetic circuits 113_1 and 113_2, a communication circuit 114, and a strain sensor 121. The auxiliary sensor unit 120 </ b> C includes an acceleration sensor 116. In FIG. 18, the same reference numerals are given to portions common to FIG. 2, and detailed description thereof is omitted.

  The detection circuit 111_1 extracts a detection signal having a voltage value corresponding to the bending angle of the elbow from the strain sensor 121 and outputs the detection signal. The A / D conversion circuit 112_1 A / D converts this detection signal at a constant sampling rate, and outputs it to the arithmetic circuit 113_1 as a bending angle waveform sample V2 indicating the bending angle waveform of the user's elbow. When the arithmetic circuit 113_1 acquires the bending angle waveform sample V2 from the A / D conversion circuit 112_1, the arithmetic circuit 113_1 performs various operations on the bending angle waveform sample V2. For example, the arithmetic circuit 113_1 processes the bending angle waveform sample V2 and reduces the amount of data at the time of transmission by performing a filtering process by moving average on the bending angle waveform sample V2. When the arithmetic circuit 113_1 executes the above arithmetic operation, the arithmetic circuit 113_1 outputs the arithmetic result to the communication circuit 114 as the bending angle waveform sample V2 '. The detection circuit 111_2 takes out a detection signal having a voltage value corresponding to the acceleration of the user's wrist from the acceleration sensor 116 and outputs it. The A / D conversion circuit 112_2 A / D converts this detection signal at a constant sampling rate, and outputs it to the arithmetic circuit 113_2 as an acceleration waveform sample V1 indicating the acceleration waveform of the user's wrist. When the arithmetic circuit 113_2 acquires the acceleration waveform sample V1 from the A / D conversion circuit 112_2, the arithmetic circuit 113_2 performs the above calculation on the acceleration waveform sample V1, and outputs the calculation result to the communication circuit 114 as the acceleration waveform sample V1 '. In this embodiment, the acceleration sensor 116 detects the movement of the first part (wrist) of the human body, and the strain sensor 121 detects the movement of the second part (elbow) that moves the first part. It functions as a second sensor. In the present embodiment, the bending and stretching of the arm (bending of the elbow) is detected by the strain sensor 121 because the bending and stretching of the arm to be evaluated is a slow movement and is not suitable for detection by the acceleration sensor. It is.

  Whenever one acceleration waveform sample V1 ′ and one bending angle waveform sample V2 ′ are supplied, the communication circuit 114 processes a frame including the acceleration waveform sample V1 ′ and bending angle waveform sample V2 ′. Wireless transmission to 20C.

  The information processing apparatus 20C includes a communication unit 210, an evaluation unit 220C, an information storage unit 230C, and an information output unit 240C.

  The communication unit 210 receives a frame wirelessly transmitted by the communication circuit 114. The information storage unit 230C is used as a means for storing the acceleration waveform sample V1 'and the bending angle waveform sample V2' extracted from the frame. The information output unit 240C includes a display unit that displays various types of information, a sound system that outputs sound, and the like.

  Each time the communication unit 210 receives a frame, the evaluation unit 220C executes an interrupt processing program for exercise evaluation. In this interrupt processing program, the evaluation unit 220C extracts the acceleration waveform sample V1 ′ and the bending angle waveform sample V2 ′ from the frame, and evaluates and evaluates the movement of the second part (elbow) indicated by the bending angle waveform sample V2 ′. Generate a value. At that time, the evaluation unit 220C decreases the evaluation value in response to the acceleration waveform sample V1 'being out of the appropriate range. Then, the evaluation unit 220C causes the information output unit 240C to display the exercise evaluation result.

  FIG. 19 is a flowchart showing the processing contents of the interrupt processing program executed by the evaluation unit 220C. The operation of this embodiment will be described below with reference to this figure.

  When the communication unit 210 receives the frame, the evaluation unit 220C first executes a point addition process (step SC1). In this point addition processing, the acceleration waveform sample V1 ′ and the bending angle waveform sample V2 ′ are extracted from the received frame, stored in the information storage unit 230C, and stored in the column of the latest bending angle waveform sample V2 ′ stored in the information storage unit 230C. Based on this, it is determined whether or not the user has exercised for one stroke. Here, the exercise for one stroke is an elbow bending extension exercise in which the bending angle of the elbow becomes larger than the upper threshold value from a state where the elbow bending angle is smaller than the predetermined lower threshold value and becomes smaller than the lower threshold value again. When it is detected that the exercise for one stroke is performed, the evaluation unit 220C increases the plus evaluation value by the calorie consumption for one stroke. This increment may be a fixed value, but may be calculated, for example, by integrating a bending angle waveform sample V2 'for one stroke in order to more accurately evaluate the motion.

  Next, the evaluation unit 220C executes a deduction process (step SC2). In this deduction process, it is determined whether or not the acceleration waveform sample V1 ′ extracted from the frame is within the proper range, specifically, whether or not it is within a predetermined upper limit value, and the acceleration waveform sample V1 ′ is out of the proper range. In this case, the negative evaluation value is increased by a predetermined amount. At this time, the increment for increasing the negative evaluation value may be changed according to the degree to which the acceleration waveform sample V1 'deviates from the appropriate range. The upper limit value used in step SC2 is input in advance by operating the operator provided in the information processing apparatus 20C by the trainer. Alternatively, a healthy person may perform an ideal exercise using the exercise evaluation device 1C, and the evaluation unit 220C may set an upper limit value of acceleration based on a column of acceleration waveform samples V1 ′ obtained at that time. Good.

  Next, the evaluation unit 220C evaluates the user's exercise based on the positive evaluation value calculated in step SC1 and the negative evaluation value calculated in step SC2 (step SC3). Specifically, the evaluation value of the user's exercise is calculated by adding the positive evaluation value and the negative evaluation value.

  Next, the evaluation unit 220C causes the information output unit 240C to display the exercise evaluation value calculated in step SC3 (step SC4). At that time, the evaluation unit 220C causes the information output unit 240C to display the positive evaluation value calculated in step SC1 and the negative evaluation value calculated in step SC2 together with the exercise evaluation value calculated in step SC3. Further, the evaluation unit 220C displays OK on the information output unit 240C during a period when the acceleration waveform sample V1 ′ is within the upper limit value, and outputs NG information during a period when the acceleration waveform sample V1 ′ exceeds the upper limit value. This is displayed on the part 240C. In addition, the evaluation unit 220C causes the information output unit 240C to report a warning sound when displaying NG.

  According to the present embodiment, when the user performs an exercise of bending the wrist at a slow operation speed, the evaluation value of the exercise increases. Thereby, since it can prevent that a user performs rapid operation | movement, it can suppress that an excessive burden is placed on a user's body. Moreover, since slow exercise brings about a muscle strengthening effect, it exerts a great effect in a scene aiming at an early recovery of the user, such as rehabilitation and exercise support for the elderly.

<Other embodiments>
While various embodiments of the present invention have been described above, other embodiments are possible for the present invention.

(1) In the first embodiment, the user's motion prediction is performed using the relationship between the peak acceleration difference V1′pp of the wrist acceleration waveform and the peak difference V2′pp of the contraction waveform of the arm muscles. You may go. For example, when the peak-to-peak difference V1′pp and V2′pp are analyzed, and the peak-to-peak difference V1′pp of the wrist acceleration waveform increases, the peak-to-peak difference V2′pp of the contraction waveform of the arm muscle is used as a precursor. Is found to increase. In this case, the waveform of the peak-to-peak difference V2'pp of the contraction waveform of the arm muscles is stored in the information storage unit 230 as predictive data suggesting the start of the user's action.

  Then, the evaluation unit 220 predicts that the user starts the operation when the sequence of the peak-to-peak difference V2′pp of the contraction waveform of the arm muscle that is sequentially calculated matches the predictive data, and is used for, for example, the operation measurement Send a power-on command to the measuring instrument. This eliminates the need for the user to manually set the measurement device prior to the start of measurement.

  In addition, when a plurality of predictor data is prepared and the sequence of the peak difference V2′pp of the arm muscle contraction waveform calculated sequentially matches any of the predictor data, the evaluation unit 220 is associated with the predictor data. The predetermined command may be transmitted to the measuring device. As a result, the user can perform various settings of the measuring device only by a movement that changes the peak-to-peak difference V2′pp of the contraction waveform of the arm muscles (that is, by changing the strength of the arm muscles). .

  Further, the evaluation unit 220 inputs a predetermined character to an information terminal such as a PC when the sequentially calculated peak-to-peak difference V2′pp of the arm muscle contraction waveform matches the pre-stored predictive data. A command to the effect may be transmitted. According to this aspect, the user can operate the PC only by contracting and expanding the muscles of the arm without using a user interface such as a mouse or a keyboard even when the user is physically disabled.

  Further, a column of the peak-to-peak difference V1'pp of the wrist acceleration waveform may be used as predictive data. In this aspect, when the user performs an operation of shaking his / her wrist, and the column of the peak-to-peak difference V1′pp obtained as a result matches the predetermined predictive data, the evaluation unit 220 instructs the PC to input characters. Send. Thereby, the user interface by gesture input is realizable.

(2) In the first embodiment, the information storage unit 230 may be an HDD, and a column of acceleration waveform samples V1 'and contraction waveform samples V2' over a long period (for example, one month) may be stored. In this case, the evaluation unit 220 causes the peak-to-peak differences V1′pp and V2′pp calculated for each column of the wrist acceleration waveform sample V1 ′ and the arm muscle contraction waveform sample V2 ′ and the body condition evaluation value V1′pp / By evaluating the variation of each value of V2′pp, it is possible to grasp the change in the physical condition of the user and the identity of the operation. For example, when it is confirmed that the physical condition evaluation value V1′pp / V2′pp tends to decrease day by day, the user may be determined to be tired, and the trainer may take measures such as reviewing the training content. it can.

(3) In each said embodiment, the site | part of the body which mounts various sensors is not limited to the site | part shown to said each embodiment. For example, in the fourth embodiment, the main sensor unit 110C may be mounted on the knee and the auxiliary sensor unit 120C may be mounted on the waist.

  In this case, when the user performs a flexion / extension motion of the knee, the acceleration sensor 116 detects a positive acceleration generated at the beginning of bending of the knee and a negative acceleration generated at the bending of the knee. Therefore, the evaluation unit 220C detects the positive peak V1'pp + and the negative peak V1'pp- of the acceleration from the column of the acceleration waveform samples V1 'stored in the information storage unit 230C. Then, the evaluation unit 220C calculates a ratio V1'pp + / V1'pp- of the positive peak V1'pp + and the negative peak V1'pp- of acceleration. This ratio V1'pp + / V1'pp- is an evaluation value indicating the balance of knee flexion at the start of bending of the knee and at the time of bending.

  Here, if the ratio V1′pp + / V1′pp− is close to 1, a well-balanced flexion / extension motion is performed, and if the ratio V1′pp + / V1′pp− is far from 1, the unbalanced flexion / extension motion is performed. It will be that. Therefore, when the ratio V1′pp + / V1′pp− is away from 1, the evaluation unit 220C displays that fact or notifies an alarm by the information output unit 240C.

(4) In each said embodiment, the kind of sensor with which a user's body is mounted | worn is not limited to an acceleration sensor and a distortion sensor. For example, in the first embodiment, an angular velocity sensor may be used instead of the acceleration sensor 116, and a myoelectric potential sensor may be used instead of the strain sensor 121. Thereby, a user's exercise state and physical condition can be evaluated from various viewpoints.

(5) In each of the above embodiments, a plurality of sensors may be provided in the main sensor unit and the auxiliary sensor unit, and the sensors may be attached to a plurality of parts of the body that move in conjunction with each other. For example, in the first embodiment, a plurality of strain sensors are provided in the auxiliary sensor unit, and each sensor is attached to each path from the end of the body to the trunk, thereby evaluating the linkage of movement of each part. be able to. In particular, in intense sports, all muscles move in a complex manner. For this reason, by attaching strain sensors to a plurality of parts of the body, the user's physical state, such as whether the user is moving the muscles that should be used or whether the extra muscles are moving, can be shown more objectively. Information can be acquired.

(6) In 1st Embodiment and 3rd Embodiment, you may acquire the acceleration information regarding each direction component of a x-axis direction component, a y-direction component, and a z-axis direction component using a 3-axis acceleration sensor. In this case, the arithmetic circuits 113_1 and 113_2 subtract each direction component of gravitational acceleration from each acceleration value of the x-axis direction component, the y-axis direction component, and the z-axis direction component indicated by the 3-axis acceleration signal acquired from the 3-axis acceleration sensor. To do. Then, the acceleration gradient is obtained from the acceleration value after the subtraction with reference to a table indicating the correspondence relationship between the acceleration value and the acceleration gradient acquired in advance. Thereby, the direction and direction of the arm or leg during exercise can also be known. Moreover, you may use the 6-axis sensor comprised by the 3-axis acceleration sensor and the 3-axis angular velocity sensor. In this case, the arithmetic circuits 113_1 and 113_2 perform the following processing. The arithmetic circuits 113_1 and 113_2 calculate Euler angles (rotation angles) in the x-axis direction, the y-axis direction, and the z-axis direction based on the detection signal acquired from the six-axis sensor. The user's rotational posture obtained from the Euler angle is expressed in a quaternion format consisting of a direction vector serving as a rotation axis and an Euler angle with respect to the vector. Then, the arithmetic circuits 113_1 and 113_2 output information related to the rotation posture of the user expressed in the quaternion format to the communication circuit. Thereby, the direction and direction of the arm or leg of the user during exercise can be known with higher accuracy than when the triaxial acceleration sensor is used.

(7) In the above embodiment, an information output device may be provided in the main sensor unit or the auxiliary sensor unit. This eliminates the need for the user to carry the information processing apparatus when playing sports.

(8) In the above embodiment, a series of processing executed by the exercise evaluation device may be executed by an information terminal such as a smartphone. In this case, various sensors such as a gyro sensor and an acceleration sensor built in the smartphone are used as sensors included in the main sensor unit or the auxiliary sensor unit. In addition, a program executed by the information processing apparatus is installed in the smartphone, and samples of acceleration waveforms and distortion waveforms are processed. Thereby, the convenience of the user at the time of using an exercise | movement evaluation apparatus improves.

(9) In the above embodiment, an information terminal such as a smartphone may execute the process executed by the information processing device, and only the exercise evaluation device may be manufactured and sold as the exercise evaluation device. In this case, a program executed by the information processing apparatus is installed in the smartphone, and samples of acceleration waveforms and distortion waveforms are processed. Thereby, the convenience of the user at the time of using an exercise | movement evaluation apparatus improves.

(10) In the above embodiment, a series of processing executed by the exercise evaluation device may be executed in an ASP (Application Service Provider) format. In this case, the server side executes various processes executed by the communication unit, the evaluation unit, and the information storage unit in the information processing apparatus. Then, the transmission of the samples V1 'and V2' to the server and the display or warning of various calculation results executed by the information output unit are executed by an information terminal such as a smartphone. Thereby, the burden of the process which an exercise | movement evaluation apparatus performs is reduced.

DESCRIPTION OF SYMBOLS 1,1A, 1B, 1C ... Motion evaluation apparatus 10, 10A, 10B, 10C ... Equipment for motion evaluation, 110, 110A, 110B, 110C ... Main sensor part, 120, 120B, 120C ... Auxiliary sensor part, 130 ... Signal Line, 115, 115B ... Mounting part, 116 ... Acceleration sensor, 121 ... Strain sensor, 20, 20B, 20C ... Information processing device, 210, 210B, 210C ... Communication part, 220, 220B, 220C ... Evaluation part, 230, 230B , 230C ... information storage unit, 240, 240B, 240C ... information output unit, 111_1, 111_2 ... detection circuit, 112_1, 112_2 ... A / D conversion circuit, 113_1, 113_2 ... arithmetic circuit, 114 ... communication circuit, P1, P2, V1, V2, V1 ', V2' ... detection signals.

Claims (2)

A first sensor for detecting movement of a first part of the human body;
A second sensor for detecting movement of a second part that moves the first part of the human body ;
Based on a delay time between the first detection signal obtained by the first sensor and the second detection signal obtained by the second sensor, a body state evaluation value indicating the body state of the human body is generated. An exercise evaluation apparatus comprising an evaluation means . 2. The first sensor is an acceleration sensor that detects acceleration of the first part, and the second sensor is a strain sensor that detects contraction of the second part. The exercise evaluation apparatus described.

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