WO2020138457A1 - Programme d'aide à l'exercice, système d'aide à l'exercice et procédé permettant de fournir des informations dans un programme d'aide à l'exercice - Google Patents

Programme d'aide à l'exercice, système d'aide à l'exercice et procédé permettant de fournir des informations dans un programme d'aide à l'exercice Download PDF

Info

Publication number
WO2020138457A1
WO2020138457A1 PCT/JP2019/051512 JP2019051512W WO2020138457A1 WO 2020138457 A1 WO2020138457 A1 WO 2020138457A1 JP 2019051512 W JP2019051512 W JP 2019051512W WO 2020138457 A1 WO2020138457 A1 WO 2020138457A1
Authority
WO
WIPO (PCT)
Prior art keywords
muscle
information
state
user
angular velocity
Prior art date
Application number
PCT/JP2019/051512
Other languages
English (en)
Japanese (ja)
Inventor
朋哉 日下部
高橋　達也
Original Assignee
パナソニックＩｐマネジメント株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from JP2018246256A external-priority patent/JP2020103656A/ja
Priority claimed from JP2018246253A external-priority patent/JP2020103653A/ja
Application filed by パナソニックＩｐマネジメント株式会社 filed Critical パナソニックＩｐマネジメント株式会社
Publication of WO2020138457A1 publication Critical patent/WO2020138457A1/fr

Links

Images

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/22—Ergometry; Measuring muscular strength or the force of a muscular blow
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B69/00—Training appliances or apparatus for special sports

Definitions

  • the present invention relates to an exercise assistance program, an exercise assistance system, and an information providing method in the exercise assistance system.
  • a motion assist system that determines the type of walking motion is known.
  • the conventional exercise assisting system assists the exercise of the target site according to the type of walking motion, for example.
  • Patent Document 1 discloses an example of a conventional exercise assistance system.
  • the conventional exercise assisting system does not particularly consider the improvement of the exercise form.
  • a first object of the present invention is to provide an information providing method in an exercise assisting system that contributes to the prevention of injuries in the target part.
  • a second object of the present invention is to provide an exercise assisting program, an exercise assisting system, and an information providing method in the exercise assisting system, which can measure the state of muscle activity.
  • a first aspect of the information providing method in the exercise assisting system is to obtain information on muscle fatigue detected by a sensor provided on a wear body worn by a user, and the muscle fatigue.
  • the information about the one part of the user includes a change in the electric field of the muscle of the one part of the user, the vibration of the muscle, and/or the hardness of the muscle, Is determined to be less than or equal to a predetermined reference muscle strength, and if the current muscle strength of the one portion is determined to be less than or equal to the predetermined reference muscle strength, muscle damage or muscle rupture may occur. Outputting risk information indicating that the property is high to the notification unit.
  • a second form of the information providing method in the exercise assistance system according to the present invention is to obtain the first information and the second information regarding the fatigue of the muscle detected by the sensor provided on the wearing body worn by the user.
  • the first information regarding the fatigue of the muscle includes at least one of the angular velocity and the acceleration of the operating region of the right half of the user, and the second information regarding the fatigue of the muscle includes the operating region of the right half of the body.
  • a third aspect of the information providing method in the exercise assistance system is to obtain information on the angular velocity of the waist of the user detected by a sensor provided on a wearing body worn by the user, and Based on the information about the angular velocity of the waist, it is determined whether the forward tilt angle of the user's body is a predetermined value or more, and the forward tilt angle of the user's body is determined to be the predetermined value or more. In this case, outputting risk information indicating that there is a high possibility that muscle damage or muscle rupture of the user's waist will occur to the notification unit.
  • a fourth form of the information providing method in the exercise assisting system is to obtain information about the state of the muscle activity of the user, which is detected by a sensor provided in a wearing body worn by the user,
  • the information related to the state of muscle activity includes at least one of the state of muscle discharge in a plurality of parts of the body of the user, angular velocity, and acceleration; Acquiring a captured image related to a motion, determining which of a plurality of phases the user's motion is based on the information regarding the state of the muscle activity, and capturing each of the plurality of phases.
  • the method includes generating a display image in which the image is associated with information on a corresponding muscle activity state, and outputting the display image to a display unit.
  • a first form of an exercise assistance program is a process for causing a control unit of a terminal device to acquire information regarding a state of muscle activity of the user detected by a sensor provided on a wear body worn by the user.
  • the information regarding the state of the muscle activity includes the state of the muscle discharge in a plurality of parts of the user's body, at least one of the angular velocity and the acceleration, and the operation of the user.
  • the process of generating a display image in which the information regarding the state of the corresponding muscle activity is associated with each captured image of the phase 2 and the process of outputting the display image to the display unit of the terminal device are executed.
  • a fifth aspect of the information providing method in the exercise assisting system is to obtain information on a state of the muscle activity of the user, which is detected by a sensor provided in a wearing body worn by the user,
  • the information related to the state of muscle activity includes at least one of the state of muscle discharge in a plurality of parts of the body of the user, angular velocity, and acceleration; Acquiring a captured image related to the motion, determining which of a plurality of phases the motion of the user is based on the information regarding the state of the muscle activity, and the information regarding the state of the muscle activity.
  • At least one of (i) the state of muscle discharge of the muscle of each part, (ii) the acceleration of each part, and (iii) the angular velocity of each part Comparing with a corresponding threshold, determining whether or not a predetermined condition is satisfied, and for the phase determined to be not satisfying the predetermined condition, information regarding a deviation state from the threshold, And associating the evaluation information including at least one of the improvement information for approaching the threshold value and outputting the evaluation information to the display unit.
  • a second form of the exercise assistance program is a process of causing a computer of an information terminal to acquire information regarding a state of muscle activity of a user detected by a sensor provided on a wearing body worn by the user. Then, the information relating to the state of the muscle activity includes the state of the muscle discharge in a plurality of parts of the user's body, at least one of the angular velocity and the acceleration, and the operation of the user.
  • One of the threshold values is compared with the threshold value corresponding to each of the threshold values, and a process of determining whether or not a predetermined condition is satisfied, and a phase from the threshold value for the phase determined to not satisfy the predetermined condition.
  • a process of associating the evaluation state information including at least one of the information about the deviation state and the improvement information for approaching the threshold value and outputting the evaluation information to the display unit of the information terminal is executed.
  • a first form of the exercise assistance system includes a sensor provided on a wearing body worn by a user, an image pickup device for photographing the action of the user, a server device, and a display unit.
  • the sensor is configured to detect information regarding a state of muscle activity of the user, including information on at least one of muscle discharge state, angular velocity, and acceleration of multiple portions of the user's body.
  • the imaging device is configured to capture a captured image related to the operation.
  • the server device is configured to determine which of a plurality of phases the motion of the user is based on the information on the state of the muscle activity, and based on the information on the state of the muscle activity, For each of the phases of (1), at least one of (i) the state of muscle discharge of the muscles of each part, (ii) the acceleration of each part, and (iii) the angular velocity of each part is set as a threshold value corresponding to each of them. By comparison, configured to determine whether a predetermined condition is satisfied, for the phase determined that the predetermined condition is not satisfied, information about the deviation state from the threshold, and The evaluation information including at least one of the improvement information for approaching the threshold value is associated and output to the display unit.
  • a sixth form of the information providing method in the exercise assistance system is to obtain information on the state of the muscle activity of the user, which is detected by a sensor provided in a wearing body worn by the user,
  • the information regarding the state of muscle activity includes at least one of the state of muscle discharge, angular velocity, and acceleration in each part of the user's body, and the action from the image capturing unit that captures the action of the user.
  • Based on the information about the muscle activity state based on the information about the muscle activity state, determining which of the plurality of phases the user's action is, and based on the muscle activity state information.
  • the determined phase at least one of (i) a state of muscle discharge of a muscle of each part, (ii) an acceleration of each part, and (iii) an angular velocity of each part, respectively.
  • a predetermined condition is satisfied by comparing with a threshold value corresponding to, and when it is determined that the predetermined condition is not satisfied, in the captured image of the determined phase, Generating a display image associated with information on the state of muscle activity corresponding to the determined phase and outputting the display image to the display unit.
  • the information providing method in the exercise assisting system according to the present invention contributes to the prevention of injury of the target part.
  • the state of muscle activity can be measured.
  • the block diagram of the exercise assistance system of FIG. The graph which shows an example of the transition of the present muscular strength at the time of training.
  • the side view of the exerciser who exercises using the exercise assistance system of FIG. The flowchart which shows an example of the control according to an exercise assistance program.
  • the flowchart which shows an example of the usage method of an exercise assistance system.
  • FIG. 8 is a perspective view showing a back surface of an exerciser who wears the wearing unit of FIG. 7.
  • the block diagram of the exercise assistance system of FIG. The map which shows an example of the relationship between a specific form and the state of muscle activity.
  • the map which shows an example of the relationship between a target region and the level of muscle discharge.
  • the graph which shows an example of the 1st state information based on a specific form.
  • the graph which shows another example of the 1st state information based on a specific form.
  • the flowchart which shows an example of the 1st control according to an exercise assistance program.
  • the flowchart which shows an example of the 2nd control according to an exercise assistance program.
  • the flowchart which shows an example of the usage method of an exercise assistance system.
  • One form of an exercise assistance program according to the present invention comprises a first step of reading first state information including information on body fatigue detected by a detection unit, and muscle damage or muscles at a target site according to the first state information.
  • the control unit is caused to execute the second step of calculating the risk information indicating the possibility of tearing and the third step of outputting the second state information including the calculated risk information.
  • Physical fatigue affects the potential for muscle damage or rupture. Risk information can be used to prevent injuries.
  • the exercise support program contributes to the prevention of injuries in the target site.
  • the first state information including at least one of a muscle state of the target site, a motion state of the target site, and a body posture is read.
  • the risk information is calculated according to at least one of a muscle state of the target part, a motion state of the target part, and a body posture.
  • the muscle condition of the target part, the motion state of the target part, and the posture of the body change depending on the amount of fatigue of the body. According to the above exercise assistance program, risk information can be appropriately calculated.
  • the first state information including information about at least one of myoelectricity, muscle sound, and muscle hardness of the target site is read.
  • the first state information including information about at least one of angular velocity and acceleration of the target part is read.
  • the risk information is calculated according to the muscle strength of the target part.
  • the muscle strength of the target site influences the possibility of muscle damage or muscle rupture. According to the exercise assisting program, it is possible to preferably calculate the possibility that muscle damage or muscle rupture will occur at the target site.
  • the maximum muscle force of the target site and the current muscle force of the target site are calculated according to the first state information, and the maximum muscle force and the current muscle force are calculated according to the maximum muscle force. And calculates the risk information.
  • risk information can be appropriately calculated.
  • a reference muscle force is calculated with the maximum muscle force as a reference, the current muscle force and the reference muscle force are compared, and the current muscle force is equal to or less than the reference muscle force. In this case, it is determined that there is a high possibility that muscle damage or muscle rupture will occur at the target site.
  • the ratio of current muscle strength to maximum muscle strength is below a certain value, there is a high possibility that muscle damage or muscle rupture will occur at the target site. According to the exercise assisting program, it is possible to preferably calculate the possibility that muscle damage or muscle rupture will occur at the target site.
  • the risk information is calculated according to the exercise state of the target part of the right half body and the exercise state of the target part of the left half body.
  • risk information can be appropriately calculated.
  • the risk information is calculated according to at least one of pitch, stride, and hip joint angle.
  • risk information can be appropriately calculated.
  • the risk information is calculated according to the anteversion angle of the body.
  • the posture of the body may lean forward when the physical ability is reduced. According to the above exercise assistance program, risk information can be appropriately calculated.
  • control unit is further caused to execute a fourth step of calculating instruction information for controlling an informing unit for informing the risk information according to the second state information, and the third step. Then, the instruction information is further output.
  • One form of the exercise assistance system relating to the present invention is a garment attached to a target site, the detection unit provided in the garment, a transmission unit that transmits the first state information detected by the detection unit, and An exercise support program is provided.
  • the above-mentioned exercise support system contributes to the prevention of injuries in the target area.
  • the detection unit includes a muscle state detection unit that detects a muscle state of the target site and a motion state detection unit that detects a motion state of the target site.
  • the exercise assistance system 1 is used, for example, for training performed by an exerciser. Training includes, for example, exercise of the target site T related to general life and sports.
  • the target site T includes the thigh. In one example, training includes running.
  • the main elements constituting the exercise assistance system 1 are the wearing body 10, the terminal device 30, and the exercise assistance program.
  • the wearing body 10 is worn on the body.
  • the main elements constituting the mounting body 10 are the wear 11 and the detection block 20.
  • the wear 11 is attached to the target site T.
  • the wear 11 is attached to the lower limb so as to cover the target site T.
  • the wear 11 is half tights.
  • the detection block 20 is provided in the wear 11.
  • the detection block 20 is provided, for example, in a portion of the wear 11 corresponding to the target portion T.
  • the detection block 20 is configured to be capable of electrically communicating with the terminal device 30 by wire or wirelessly.
  • the detection block 20 is configured to be capable of wireless communication with the terminal device 30.
  • the detection block 20 includes a detection block 20 for the left half of the body corresponding to the left half of the body, and a detection block 20 for the right half of the body corresponding to the right half of the body.
  • the configuration of the detection block 20 for the left half of the body is substantially the same as the configuration of the detection block 20 for the right half of the body.
  • the arrangement of the detection blocks 20 for the left half of the body has a symmetrical relationship with the arrangement of the detection blocks 20 for the right half of the body.
  • the detection block 20 for the left half of the body is provided, for example, in a portion of the wear 11 corresponding to the target site T of the left half of the body. In the example shown in FIG.
  • the detection block 20 for the left half of the body is provided in the portion of the wear 11 corresponding to the back surface of the left thigh.
  • the detection block 20 for the right half of the body is provided, for example, in a portion of the wear 11 corresponding to the target site T of the right half of the body.
  • the detection block 20 for the right half of the body is provided in the portion of the wear 11 corresponding to the back surface of the right thigh.
  • the terminal device 30 is provided separately from the wearing body 10.
  • the terminal device 30 includes at least one of a smart device and a personal computer.
  • the smart device includes at least one of a wearable device such as a smart watch, a smartphone, and a tablet computer. In the example shown in FIG. 1, the terminal device 30 includes a tablet computer.
  • the terminal device 30 can perform wireless communication with the detection block 20 by pairing with the detection block 20. Communication elements required for pairing are included in each of the detection block 20 and the terminal device 30.
  • the terminal device 30 may be attached to the wear 11.
  • the mounting body 10 shown in FIG. 2 omits one detection block 20.
  • the main elements that make up the detection block 20 are a detection unit 21 and a transmission unit 25.
  • the detection unit 21 detects information regarding body fatigue.
  • the information about the fatigue of the body includes at least one of information about the muscle state of the target site T, information about the motion state of the target site T, and information about the posture of the body.
  • the detector 21 is electrically connected to the transmitter 25.
  • the detection unit 21 includes a muscle state detection unit 22 that detects a muscle state of the target site T, and a motion state detection unit 23 that detects a motion state of the target site T.
  • the muscle condition detection unit 22 is provided in the wear 11.
  • the muscle condition detecting unit 22 includes at least one of a myoelectric sensor 22A, a myophone sensor 22B, and a myocardial hardness sensor 22C.
  • the myoelectric sensor 22A detects myoelectric potential of the thigh. Myoelectricity involves weak electric field changes that occur in muscles.
  • the myoelectric sensor 22A is provided in a portion of the wear 11 corresponding to the thigh hamstring.
  • the muscle sound sensor 22B detects the muscle sound of the thigh. Muscle sounds include minute vibrations caused by muscle activity.
  • the muscle sound sensor 22B is provided in a portion of the wear 11 corresponding to the thigh hamstring.
  • the muscle hardness sensor 22C detects the hardness of the thigh muscle (hereinafter referred to as "muscle hardness").
  • the muscle hardness sensor 22C is provided in a portion of the wear 11 corresponding to the hamstring of the thigh.
  • the exercise state detection unit 23 is provided in the wear 11. Wear 11 is worn on any active area of the body. In one example, the working area is the thigh. In one example, the motion state detection unit 23 includes at least one of the thigh angular velocity sensor 23A and the thigh acceleration sensor 23B. The thigh angular velocity sensor 23A detects the thigh angular velocity. The thigh angular velocity includes at least one of an angular velocity about the front-rear axis, an angular velocity about the left-right axis, and an angular velocity about the vertical axis. In one example, the thigh angular velocity sensor 23A is a triaxial angular velocity sensor.
  • the thigh acceleration sensor 23B detects the thigh acceleration.
  • the thigh acceleration is acceleration acting on the thigh along the direction in which the front-rear axis extends (hereinafter, acceleration in the front-rear axis direction) and acceleration acting on the thigh along the direction in which the left-right axis extends (hereinafter, acceleration in the left-right axis direction).
  • acceleration in the vertical axis direction At least one of the accelerations acting on the thigh along the direction in which the vertical axis extends.
  • the thigh acceleration sensor 23B is a triaxial acceleration sensor.
  • the detection unit 21 further includes a body angular velocity sensor 24 that detects the angular velocity of the waist.
  • the body angular velocity sensor 24 is not included in the detection block 20. In other words, the body angular velocity sensor 24 is provided separately from the detection block 20. In one example, the body angular velocity sensor 24 is provided in a portion of the wear 11 corresponding to the pelvis (see FIG. 1).
  • the upper body angular velocity sensor 24 detects the angular velocity of the upper body with respect to the lower body. When the values detected by the upper body angular velocity sensor 24 are integrated, the angle of the upper body with respect to the lower body is calculated. In one example, the body angular velocity sensor 24 detects the forward tilt angle AF (see FIG. 4) of the body.
  • the transmitting unit 25 transmits the first state information detected by the detecting unit 21.
  • the first state information includes information about fatigue of the body.
  • the transmission unit 25 is in the first state detected by at least one of the myoelectric sensor 22A, the muscle sound sensor 22B, the muscle hardness sensor 22C, the thigh angular velocity sensor 23A, the thigh acceleration sensor 23B, and the upper body angular velocity sensor 24.
  • the information is transmitted to the terminal device 30.
  • the transmission unit 25 included in the detection block 20 for the left half body and the transmission unit 25 included in the detection block 20 for the right half body may be one common transmission unit 25.
  • the wearing body 10 further includes a power supply 12.
  • the power supply 12 is provided in the wear 11, for example.
  • the power source 12 supplies electric power to various electric elements included in the wearing body 10.
  • the power supply 12 powers the detection block 20 and the body angular velocity sensor 24.
  • the main components of the terminal device 30 are a control unit 31, which is a computer, an operation unit 32, a notification unit 33, and a power supply 34.
  • the control unit 31 includes one or more CPUs (Central Processing Units) or MPUs (Micro Processing Units).
  • the control unit 31 includes 1) one or more processors that execute various processes according to a computer program (software), and 2) an application-specific integrated circuit (ASIC) that executes at least a part of the various processes. It may be configured as a circuit including one or more dedicated hardware circuits, or 3) combinations thereof.
  • a processor includes a CPU and memory such as RAM and ROM, which stores program codes or instructions configured to cause the CPU to perform processing.
  • Memory or computer readable media includes any available media that can be accessed by a general purpose or special purpose computer.
  • the control unit 31 executes various controls based on at least one of the first state information and the operation information regarding the operation of the operation unit 32.
  • the control unit 31 includes an information reading unit 31A, a risk calculation unit 31B, an information output unit 31C, and an information calculation unit 31D.
  • the information reading unit 31A reads the first state information including the information about the fatigue of the body detected by the detection unit 21.
  • the information reading unit 31A reads the first state information including at least one of the muscle state of the target portion T (information regarding muscle fatigue), the movement state of the target portion T, and the posture of the body.
  • the information reading unit 31A includes the first state information including information about at least one of thigh myoelectric potential, thigh myotone, thigh muscle hardness, thigh angular velocity, thigh acceleration, and hip angular velocity. Read.
  • the information reading unit 31A outputs the first state information to the risk calculation unit 31B.
  • the risk calculator 31B calculates risk information indicating the possibility of muscle damage or muscle rupture at the target site T according to the first state information.
  • the risk calculation unit 31B calculates risk information according to at least one of the muscle state of the target portion T, the movement state of the target portion T, and the posture of the body.
  • the risk calculator 31B calculates risk information according to at least one of the following first to fourth examples, for example.
  • the risk calculator 31B calculates risk information according to the muscle strength of the target part T.
  • the muscle force of the target portion T is calculated based on the detection result of at least one of the myoelectric sensor 22A, the myophone sensor 22B, and the muscle hardness sensor 22C.
  • the risk calculator 31B calculates the maximum muscle force PM of the target region T and the current muscle force PC of the target region T according to the first state information, and calculates the risk information according to the maximum muscle force PM and the current muscle force PC.
  • the maximum muscle force PM of the target portion T is the maximum muscle force that the target portion T can exert.
  • the current muscle strength PC of the target portion T is the maximum muscle strength that the target portion T can currently exert.
  • the current muscle strength PC of the target site T changes according to the magnitude of fatigue of the body.
  • the risk calculation unit 31B calculates a reference muscle force PS based on the maximum muscle force PM, and compares the current muscle strength PC with the reference muscle strength PS.
  • the reference muscular force PS is set to a value that is highly likely to cause muscle damage or muscle rupture in the target site T.
  • the reference muscular strength PS is set to a value that is 10% or more lower than the maximum muscular strength PM, for example.
  • the reference muscle force PS is set to a value that is 15% lower than the maximum muscle force PM.
  • the reference muscle force PS is set to a value of 85% of the maximum muscle force PM.
  • the risk calculation unit 31B determines that there is a high possibility that muscle damage or muscle rupture will occur at the target site T.
  • the risk calculator 31B calculates risk information indicating that there is a high possibility that muscle damage or muscle rupture will occur in the target site T when the current muscle force PC becomes equal to or less than the reference muscle force PS.
  • the risk calculation unit 31B may calculate risk information indicating that the possibility of muscle damage or muscle rupture at the target site T is low.
  • the dashed-dotted line shown in FIG. 3 shows an example of the maximum muscle force PM.
  • the two-dot chain line shown in FIG. 3 shows an example of the reference muscle force PS.
  • the risk calculator 31B may calculate the risk information based on at least one of the change over time of the current muscle force PC, the muscle contraction speed, and the muscle fiber transmission speed.
  • the risk calculation unit 31B calculates risk information according to the motion state of the target part T of the right half body and the motion state of the target part T of the left half body.
  • the motion state of the target portion T is calculated based on the detection result of at least one of the thigh angular velocity sensor 23A and the thigh acceleration sensor 23B.
  • the risk calculator 31B calculates risk information according to at least one of the pitch, stride, and hip joint angle AH (see FIG. 4).
  • the pitch indicates one walking cycle as an operation cycle.
  • One walking cycle includes a period from when one heel touches down until one heel touches again.
  • Stride indicates stride.
  • Stride length includes the distance from one heel to the other.
  • the hip joint angle AH indicates the smaller angle between the upper body and the lower limbs.
  • the risk calculation unit 31B determines that there is a high possibility that muscle damage or muscle rupture will occur at the target site T when the difference between the pitch of one lower limb and the pitch of the other lower limb is a predetermined pitch difference or more. In one example, the risk calculation unit 31B indicates that the risk information indicating that there is a high possibility that muscle damage or muscle rupture will occur in the target site T when the difference between the pitch of one lower limb and the pitch of the other lower limb is equal to or greater than a predetermined pitch difference. Is calculated.
  • the risk calculator 31B indicates that risk information indicating that muscle damage or muscle rupture at the target site T is unlikely to occur. May be calculated. For example, when the difference between the stride of one lower limb and the stride of the other lower limb is equal to or more than a predetermined stride difference, the risk calculation unit 31B determines that muscle damage or muscle rupture is likely to occur in the target site T.
  • the risk calculation unit 31B indicates that the risk information indicating that there is a high possibility that muscle damage or muscle rupture will occur at the target site T when the difference between the stride of one lower limb and the stride of the other lower limb becomes a predetermined stride difference or more. Is calculated. On the other hand, when the difference between the stride of one lower limb and the stride of the other lower limb is less than the predetermined stride difference, the risk calculator 31B indicates that risk information indicating that muscle damage or muscle rupture at the target site T is unlikely to occur. May be calculated.
  • the risk calculation unit 31B determines that muscle damage or muscle rupture is likely to occur at the target site T. To do. In one example, when the difference between the hip joint angle AH of one lower limb and the hip joint angle AH of the other lower limb is equal to or larger than the predetermined hip joint angle, the risk calculation unit 31B is likely to cause muscle damage or muscle rupture at the target site T. Is calculated.
  • the risk calculation unit 31B is unlikely to cause muscle damage or muscle rupture at the target site T. You may calculate the risk information which shows.
  • the risk calculator 31B calculates risk information according to the forward tilt angle AF of the body (see FIG. 4).
  • the forward tilt angle AF of the body defines the angle of the upper body with respect to the imaginary line L.
  • the virtual line L indicates a virtual line along the upper body in the standing position.
  • the forward tilt angle AF of the body changes according to the amount of fatigue of the body. For example, when the forward tilt angle AF of the body is equal to or larger than the predetermined forward tilt angle, the risk calculation unit 31B determines that there is a high possibility that muscle damage or muscle tear will occur at the target site T.
  • the risk calculation unit 31B calculates risk information indicating that there is a high possibility that muscle damage or muscle rupture will occur at the target site T when the forward tilt angle AF of the body becomes equal to or greater than the predetermined forward tilt angle. On the other hand, when the forward tilt angle AF of the body is less than the predetermined forward tilt angle, the risk calculation unit 31B may calculate risk information indicating that the target site T is unlikely to suffer muscle damage or muscle tear.
  • the risk calculator 31B calculates risk information based on the relationship between the first state information and a preset threshold value.
  • the threshold value is stored in a memory (not shown) mounted on the terminal device 30.
  • the threshold is defined based on at least one of biceps femoris status, hip flexibility, injury history, running speed, and running distance. For example, when the relationship between the first state information and the preset threshold value satisfies a predetermined relationship, the risk calculation unit 31B determines that muscle damage or muscle rupture is likely to occur at the target site T.
  • the risk calculation unit 31B when the relationship between the first state information and the preset threshold value satisfies a predetermined relationship, the risk calculation unit 31B provides risk information indicating that muscle damage or muscle rupture is likely to occur at the target site T. Calculate On the other hand, when the relationship between the first state information and the preset threshold value does not satisfy the predetermined relationship, the risk calculation unit 31B outputs risk information indicating that the possibility of muscle damage or muscle rupture at the target site T is low. You may calculate.
  • the risk calculator 31B outputs the calculated risk information to the information output unit 31C.
  • the information output unit 31C outputs the second state information including the calculated risk information.
  • the information output unit 31C outputs the second state information to the information calculation unit 31D.
  • the information calculation unit 31D calculates instruction information that controls the notification unit 33 that notifies the risk information according to the second state information.
  • the information calculation unit 31D outputs the calculated instruction information to the information output unit 31C.
  • the information output unit 31C outputs the instruction information to the notification unit 33.
  • the notification unit 33 notifies the risk information according to the instruction information.
  • the risk information notified by the notification unit 33 includes information on the possibility of muscle damage or muscle rupture at the target site T.
  • the information calculation unit 31D may not calculate the instruction information when the possibility of muscle damage or muscle rupture at the target site T is low.
  • the operation unit 32 is configured to be able to input information regarding the operation of the exercise assistance system 1, for example.
  • the notification unit 33 is configured to be able to notify information about the exercise assistance system 1, for example.
  • the notification unit 33 includes at least one of the speaker 33A and the display 33B.
  • the speaker 33 ⁇ /b>A notifies the information about the exercise assistance system 1 by sound.
  • the display 33B notifies the information about the exercise assistance system 1 by an image.
  • the display 33B may be integrated with the operation unit 32. In this case, the display 33B is a touch panel display.
  • the power supply 34 supplies electric power to various electric elements that configure the terminal device 30.
  • Exercise support system 1 executes various controls according to the exercise support program.
  • the exercise assistance program reads a first state information including information on the fatigue of the body detected by the detection unit 21, and a possibility that muscle damage or muscle rupture may occur in the target site T according to the first state information.
  • the control unit 31 is caused to execute the second step S2 of calculating the risk information indicating the above and the third step S3 of outputting the second state information including the calculated risk information.
  • Physical fatigue affects the potential for muscle damage or rupture. Risk information can be used to prevent injuries. According to the exercise support program, it contributes to the prevention of injury at the target site T.
  • the first state information including at least one of the muscle state of the target portion T, the movement state of the target portion T, and the posture of the body is read.
  • risk information is calculated according to at least one of the muscle state of the target site T, the motion state of the target site T, and the posture of the body.
  • the muscle condition of the target region T, the motion condition of the target region T, and the posture of the body change according to the magnitude of fatigue of the body. According to the exercise support program, the risk information can be calculated appropriately.
  • the first state information including information on at least one of myoelectricity, muscle sound, and muscle hardness of the target site T is read. Therefore, it is possible to preferably calculate the state of the muscle of the target site T.
  • the first state information including information on at least one of the angular velocity and the acceleration of the target part is read. Therefore, the state of motion of the target site T can be appropriately calculated.
  • risk information is calculated according to the muscle strength of the target part T.
  • the maximum muscle force PM of the target region T and the current muscle force PC of the target region T are calculated according to the first state information, and the risk information is calculated according to the maximum muscle force PM and the current muscle force PC.
  • the reference muscular strength PS is calculated based on the maximum muscular strength PM, the current muscular strength PC and the reference muscular strength PS are compared, and when the current muscular strength PC is equal to or less than the reference muscular strength PS, the target site T is damaged or It is determined that there is a high possibility that muscle rupture will occur.
  • the muscle force of the target site T affects the possibility of muscle damage or muscle rupture.
  • the possibility of muscle damage or muscle rupture at the target site T increases. Specifically, when the ratio of the current muscle force PC to the maximum muscle force PM is below a certain value, there is a high possibility that muscle damage or muscle rupture will occur at the target site T. According to the exercise assistance program, the possibility that muscle damage or muscle rupture may occur at the target site T can be calculated appropriately.
  • risk information is calculated according to the motion state of the target part T of the right half body and the motion state of the target part T of the left half body.
  • risk information is calculated according to at least one of the pitch, stride, and hip joint angle AH.
  • the risk information can be calculated appropriately.
  • risk information is calculated according to the forward tilt angle AF of the body. When the physical ability is reduced, the body posture may lean forward. According to the exercise support program, the risk information can be calculated appropriately.
  • the exercise assistance program further causes the control unit 31 to execute a fourth step S4 of calculating instruction information for controlling the notification unit 33 that notifies risk information according to the second state information.
  • the instruction information is further output.
  • risk information can be provided to the exerciser and his/her trainer.
  • the control unit 31 reads the first state information in step S11. Specifically, the information reading unit 31A reads the first state information including the information regarding the fatigue of the body detected by the detection unit 21. Step S11 corresponds to the first step S1.
  • the control part 31 calculates risk information in step S12. Specifically, the risk calculator 31B calculates risk information indicating the possibility of muscle damage or muscle rupture of the target site T according to the first state information. Step S12 corresponds to the second step S2.
  • the control unit 31 outputs the second state information in step S13. Specifically, the information output unit 31C outputs the second state information including the risk information calculated in step S12 to the information calculation unit 31D. Step S13 corresponds to the third step S3.
  • the control unit 31 calculates the instruction information in step S14. Specifically, the information calculation unit 31D calculates the instruction information according to the second state information. Step S14 corresponds to the fourth step S4. The control unit 31 outputs the instruction information in step S15. Specifically, the information output unit 31C outputs the instruction information to the notification unit 33. Step S15 corresponds to the third step S3. The notification unit 33 notifies the risk information according to the instruction information.
  • the control unit 31 may repeatedly execute the processing of steps S11 to S15 during the period in which the exercise assistance system 1 is used.
  • the exerciser uses exercise support system 1 according to the following steps.
  • the exerciser turns on the power of the exercise assistance system 1 in step S21.
  • the reference value of the sensor included in the detection unit 21 is calibrated.
  • the exerciser performs pairing between the wearing body 10 and the terminal device 30 in step S22.
  • the detection block 20 and the terminal device 30 are paired according to the operation of the operation unit 32.
  • the exerciser wears the wear 11 on the target site T in step S23.
  • the exerciser performs various types of training in step S24.
  • step S25 the exercise assistance program is executed.
  • the trainer assisting the exerciser confirms the risk information in step S26.
  • the trainer instructs, for example, training or a break suitable for the exerciser based on the risk information.
  • the exerciser may wear the wear 11 on the target site T before step S21 or step S22.
  • step S26 the exerciser may check the risk information.
  • the exercise assistance system 1 various controls are executed in accordance with the exercise assistance program, so that training according to the state of the target site T of the exerciser can be performed. Therefore, the exercise assisting system 1 contributes to the prevention of injury of the target site T.
  • the exercise assistance system 1 may have a configuration capable of applying electrical stimulation to the target site T according to risk information.
  • One form of the exercise assistance program according to the present invention comprises a first step of reading first state information relating to the state of motion of the target site detected by the detection unit, and a muscle activity of the target site according to the first state information.
  • the control unit is caused to execute the second step of calculating the state and the third step of outputting the second state information regarding the calculated state of the muscle activity.
  • the level of muscle discharge included in the state of muscle activity is calculated.
  • control unit further includes a fourth step of evaluating the form of the target site during exercise according to a specific form involving a series of changes in accordance with the calculated state of muscle activity. Let it run.
  • the form of the target site is evaluated according to the level of muscle discharge.
  • Muscular strength and stability of the target site in a specific form phase are reflected in the level of muscle discharge, for example.
  • the form of the target site can be preferably evaluated.
  • first instruction information that causes the display unit to display a plurality of phase images representing a series of changes in the specific form, and muscle activity corresponding to each of the plurality of phase images.
  • the control unit is further caused to execute a fifth step of calculating second instruction information to be displayed on the display unit in association with the plurality of phase images.
  • the state of muscle activity in each of a plurality of phases can be provided as visual information to the exerciser and his/her trainer.
  • One form of the exercise assisting system according to the present invention is a mounting part to be mounted on the body, the detecting part provided in the mounting part, and a transmitting part for transmitting the first state information detected by the detecting part, And the exercise assistance program.
  • the exercise support system it is possible to measure the state of muscle activity.
  • the detection unit includes at least one of a myoelectric sensor, an angular velocity sensor, and an acceleration sensor.
  • the image capturing unit configured to capture a motion of a body may be further included, and the transmitting unit may include the information detected by the detecting unit and the information captured by the image capturing unit. Send status information.
  • the exercise assistance system 1 is used, for example, for training performed by an exerciser. Training includes, for example, exercise of the target site T related to general life and sports.
  • the target site T includes the lower limbs.
  • training includes soccer-related kicking exercises.
  • the kick movement includes, for example, an infront kick.
  • the main elements constituting the exercise assistance system 1 are the wearing body 60, the terminal device 90, and the exercise assistance program.
  • the wearing body 60 is worn on the body.
  • the main elements constituting the mounting body 60 are the mounting portion 61, the detection portion 70, and the main body 80.
  • the mounting portion 61 is mounted on the target site T.
  • the attachment unit 61 is attached to the lower leg so as to cover the buttocks, the thighs, and the lower legs.
  • the mounting portion 61 is long tights.
  • the detection unit 70 is provided on the mounting unit 61.
  • the detection unit 70 includes a detection unit 70 for the left half of the body corresponding to the left half of the body, and a detection unit 70 for the right half of the body corresponding to the right half of the body.
  • the configuration of the detection unit 70 for the left half of the body is substantially the same as the configuration of the detection unit 70 for the right half of the body.
  • the arrangement of the detection unit 70 for the left half of the body has a symmetrical relationship with the arrangement of the detection unit 70 for the right half of the body.
  • the detection unit 70 includes a first detection unit 71, a second detection unit 72, a third detection unit 73, a fourth detection unit 74, and a fifth detection unit 75.
  • the first detection unit 71 is provided, for example, on the buttocks. In one example, the first detection unit 71 is provided in a portion of the mounting unit 61 that corresponds to the gluteus maximus.
  • the second detector 72 is provided, for example, on the front of the thigh. In one example, the second detection unit 72 is provided in a portion of the mounting unit 61 corresponding to the quadriceps femoris.
  • the third detection unit 73 is provided, for example, on the back of the thigh.
  • the third detection unit 73 is provided in a portion of the mounting unit 61 that corresponds to the hamstring.
  • Hamstrings include the semitendinosus and biceps femoris.
  • the fourth detection unit 74 is provided, for example, on the front surface of the lower leg. In one example, the fourth detection unit 74 is provided in a portion of the mounting unit 61 corresponding to the tibialis anterior muscle.
  • the fifth detection unit 75 is provided on the back of the lower leg, for example. In one example, the fifth detection unit 75 is provided in a portion of the mounting unit 61 that corresponds to the gastrocnemius muscle.
  • the types of sensors included in the detection units 71 to 75 are the same.
  • the first detection unit 71 includes at least one of a myoelectric sensor 71A, an angular velocity sensor 71B, and an acceleration sensor 71C.
  • the myoelectric sensor 71A detects, for example, a weak electric field change generated in the gluteus maximus.
  • the angular velocity sensor 71B detects the angular velocity of the buttocks.
  • the angular velocity of the buttocks includes at least one of the angular velocity about the front-rear axis, the angular velocity about the left-right axis, and the angular velocity about the vertical axis.
  • the angular velocity sensor 71B is a triaxial angular velocity sensor.
  • the acceleration sensor 71C detects the acceleration of the buttocks.
  • the acceleration of the buttocks is the acceleration acting on the buttocks along the direction in which the anterior-posterior axis extends (hereinafter, longitudinal acceleration), the acceleration acting on the buttocks along the direction in which the left-right axes extend (hereinafter, lateral acceleration,
  • at least one of the accelerations (hereinafter, accelerations in the vertical axis direction) acting on the buttocks along the direction in which the vertical axis extends is included.
  • the acceleration sensor 71C is a triaxial acceleration sensor.
  • the second detection unit 72 includes at least one of a myoelectric sensor 72A, an angular velocity sensor 72B, and an acceleration sensor 72C.
  • the myoelectric sensor 72A detects, for example, a weak electric field change generated in the quadriceps femoris.
  • the angular velocity sensor 72B detects the angular velocity of the front of the thigh.
  • the angular velocity of the front of the thigh includes at least one of an angular velocity about the front-rear axis, an angular velocity about the left-right axis, and an angular velocity about the vertical axis.
  • the angular velocity sensor 72B is a triaxial angular velocity sensor.
  • the acceleration sensor 72C detects the acceleration on the front of the thigh.
  • the front thigh acceleration includes at least one of an acceleration in the longitudinal axis direction, an acceleration in the lateral axis direction, and an acceleration in the vertical axis direction.
  • the acceleration sensor 72C is a tri
  • the third detection unit 73 includes at least one of a myoelectric sensor 73A, an angular velocity sensor 73B, and an acceleration sensor 73C.
  • the myoelectric sensor 73A detects, for example, a weak electric field change generated in the hamstring.
  • the angular velocity sensor 73B detects the angular velocity of the back of the thigh.
  • the angular velocity of the back of the thigh includes at least one of an angular velocity about the front-back axis, an angular velocity about the left-right axis, and an angular velocity about the vertical axis.
  • the angular velocity sensor 73B is a triaxial angular velocity sensor.
  • the acceleration sensor 73C detects the acceleration on the back of the thigh.
  • the acceleration on the back of the thigh includes at least one of acceleration in the longitudinal axis direction, acceleration in the lateral axis direction, and acceleration in the vertical axis direction.
  • the acceleration sensor 73C is a triaxial acceleration sensor.
  • the fourth detection unit 74 includes at least one of a myoelectric sensor 74A, an angular velocity sensor 74B, and an acceleration sensor 74C.
  • the myoelectric sensor 74A detects, for example, a weak change in the electric field generated in the tibialis anterior muscle.
  • the angular velocity sensor 74B detects the angular velocity of the front surface of the lower leg.
  • the angular velocity of the front surface of the lower leg includes at least one of an angular velocity about the anterior-posterior axis, an angular velocity about the lateral axis, and an angular velocity about the vertical axis.
  • the angular velocity sensor 74B is a triaxial angular velocity sensor.
  • the acceleration sensor 74C detects the acceleration on the front side of the lower leg.
  • the acceleration on the front side of the lower leg includes at least one of acceleration in the longitudinal axis direction, acceleration in the lateral axis direction, and acceleration in the vertical axis direction.
  • the acceleration sensor 74C is a triaxial acceleration sensor.
  • the fifth detection unit 75 includes at least one of a myoelectric sensor 75A, an angular velocity sensor 75B, and an acceleration sensor 75C.
  • the myoelectric sensor 75A detects, for example, a weak electric field change generated in the gastrocnemius muscle.
  • the angular velocity sensor 75B detects the angular velocity of the back of the lower leg.
  • the angular velocity of the back of the lower leg includes at least one of an angular velocity about the anterior-posterior axis, an angular velocity about the lateral axis, and an angular velocity about the vertical axis.
  • the angular velocity sensor 75B is a triaxial angular velocity sensor.
  • the acceleration sensor 75C detects the acceleration on the back of the lower leg.
  • the back acceleration of the lower leg includes at least one of acceleration in the longitudinal axis direction, acceleration in the lateral axis direction, and acceleration in the vertical axis direction.
  • the acceleration sensor 75C is a triaxial acceleration sensor.
  • the main body 80 houses various electrical elements, for example.
  • the main body 80 is provided in the mounting portion 61.
  • the main body 80 is provided in the mounting portion 61 so as to be exposed to the outside.
  • the main body 80 is provided in a portion of the mounting portion 61 corresponding to the waist circumference.
  • the main body 80 may be detachably attached to the mounting portion 61.
  • the main body 80 is electrically connected to each of the detection units 71 to 75.
  • the main body 80 is configured to be capable of electrically communicating with the terminal device 90 by wire or wirelessly.
  • the main body 80 is configured to be capable of wireless communication with the terminal device 90.
  • the terminal device 90 is provided separately from the mounting body 60.
  • the terminal device 90 includes at least one of a smart device and a personal computer.
  • the smart device includes at least one of a wearable device such as a smart watch, a smartphone, and a tablet computer. In the example shown in FIG. 7, the terminal device 90 includes a tablet computer.
  • the terminal device 90 can wirelessly communicate with the main body 80 by pairing with the main body 80. Communication elements required for pairing are included in each of the main body 80 and the terminal device 90.
  • the terminal device 90 may be attached to the attachment unit 61.
  • the mounting body 60 shown in FIG. 9 omits one detection unit 70.
  • the main body 80 accommodates the transmitter 81 and the power supply 82.
  • the transmitter 81 transmits the first state information detected by the detector 70.
  • the first state information includes information regarding the state of motion of the target site T.
  • the transmission unit 81 outputs the first state information detected by at least one of the plurality of sensors 71A to 71C, 72A to 72C, 73A to 73C, 74A to 74C, 75A to 75C included in the detection units 71 to 75. It is transmitted to the terminal device 90.
  • the power supply 82 supplies electric power to various electric elements included in the wearing body 60.
  • the exercise assisting system 1 further includes an image capturing unit C as an image capturing device that captures a motion of the body.
  • the photographing unit C includes a video camera.
  • the imaging unit C is electrically connected to the main body 80.
  • the transmission unit 81 transmits the first state information including the information detected by the detection unit 70 and the information captured by the imaging unit C (captured image related to the operation).
  • the exercise assistance system 1 may be configured by omitting the imaging unit C.
  • Main components of the terminal device 90 are a control unit 91 as a computer, an operation unit 92, a notification unit 93, and a power supply 94.
  • the operation unit 92 is configured to be able to input information regarding the operation of the exercise assistance system 1, for example.
  • the notification unit 93 is configured to be able to notify information about the exercise assistance system 1, for example.
  • the notification unit 93 includes at least one of the speaker 93A and the display unit 93B.
  • the speaker 93A provides information about the exercise assisting system 1 by sound.
  • the display unit 93B notifies the information about the exercise assistance system 1 by an image.
  • the display unit 93B includes a display.
  • the display unit 93B may be configured integrally with the operation unit 92.
  • the display unit 93B includes a touch panel display.
  • the power supply 94 supplies electric power to various electric elements that configure the terminal device 90.
  • the control unit 91 includes one or more CPUs (Central Processing Units) or MPUs (Micro Processing Units).
  • the control unit 91 includes 1) one or more processors that execute various processes according to a computer program (software), and 2) 1 such as an application-specific integrated circuit (ASIC) that executes at least part of the various processes. It may be configured as a circuit including one or more dedicated hardware circuits, or 3) combinations thereof.
  • a processor includes a CPU and memory such as RAM and ROM, which stores program codes or instructions configured to cause the CPU to perform processing.
  • Memory or computer readable media includes any available media that can be accessed by a general purpose or special purpose computer.
  • the control unit 91 executes various controls based on at least one of the first state information and the operation information regarding the operation of the operation unit 92.
  • the control unit 91 includes an information reading unit 91A, a state calculation unit 91B, an information output unit 91C, a form evaluation unit 91D, and an instruction calculation unit 91E.
  • the information reading unit 91A reads the first state information including at least one of the information about the motion state of the target site T detected by the detection unit 70 and the information about the body motion imaged by the imaging unit C.
  • the information reading unit 91A outputs the first state information to the state calculation unit 91B.
  • the state calculation unit 91B calculates the state of muscle activity of the target site T according to the first state information.
  • the state calculation unit 91B determines, for example, the movement of the target portion T according to the first state information, and calculates the state of muscle activity of the target portion T accompanying the movement of the target portion T.
  • the state calculation unit 91B determines the phase of the kick motion according to the first state information, and calculates the muscle activity state of the target site T for each phase.
  • the phase of the kick movement includes, for example, swinging up of the lower limb, stepping on, ball impact, and follow-through.
  • the state calculation unit 91B determines the phase of the kick motion based on, for example, the impact peaks of the various sensors included in the detection unit 70, the left/right difference, the periodicity, the direction/rotation, and the measurement site.
  • the acceleration of the lower leg (anterior tibial muscle, gastrocnemius muscle) of the axial foot during depression detects a peak due to the impact force due to contact with the ground.
  • the axial foot indicates the lower limb opposite to the kick foot that kicks the ball.
  • the acceleration peak detected when the pedal is strongly depressed is relatively large.
  • the acceleration peak detected when the depression is weak is relatively small.
  • the acceleration of the lower leg of the kick leg (anterior tibial muscle, gastrocnemius muscle) at ball impact is detected as a peak by the impact force caused by contact with the ball.
  • the acceleration peak detected when the ball impact is strong is relatively large.
  • the acceleration peak detected when the ball impact is weak is relatively small.
  • the state calculation unit 91B determines the movement of the target portion T according to the first state information.
  • the state calculation unit 91B calculates at least one of the state of muscle discharge, the acceleration, and the angular velocity included in the state of muscle activity.
  • the state of muscle discharge includes at least one of muscle discharge level, muscle discharge timing, muscle discharge sequence, muscle discharge interlocking, muscle discharge synchronization, reciprocity suppression, and pretension.
  • the calculation result regarding the state of the muscle activity of the target site T is output to the information output unit 91C.
  • the information output unit 91C outputs the second state information regarding the calculated state of muscle activity.
  • the information output unit 91C outputs the second state information to at least one of the form evaluation unit 91D and the instruction calculation unit 91E.
  • the form evaluation unit 91D evaluates the form of the target site T according to the second state information.
  • the form evaluation unit 91D evaluates the form of the target site T during exercise according to a specific form involving a series of changes, for example, according to the calculated state of muscle activity. Specific forms include infront kick forms.
  • the foam evaluation unit 91D evaluates the foam of the target site T according to the level of the muscle discharge.
  • the evaluation of the form includes the quality judgment of the form of the target site T.
  • the form evaluation unit 91D evaluates the form of the target site T, for example, based on whether or not the muscle discharge of the tibialis anterior muscle of the axial foot continues during depression and the axial foot is stable.
  • the form evaluation unit 91D determines whether or not a momentary rest time of a kicking foot that stores a force from flexion to extension is recognized based on the presence or absence of muscle discharge in the lower limbs (hamstring, gastrocnemius muscle) immediately before a ball impact. Evaluate the form of T. The form evaluation unit 91D evaluates the form of the target site T based on the presence/absence of deviation from the strength at which power is to be exerted, for example, at the level of muscle discharge of the gluteus maximus muscle during ball impact.
  • the standard deviation from the average value of muscle activity at rest is defined as ⁇ in advance.
  • a time point that exceeds the average value+3 ⁇ is defined as the start of muscle activity, and a time point that falls below the average value+3 ⁇ is defined as the loss of muscle activity.
  • the form evaluation unit 91D calculates information (improvement information) that prompts the improvement of the form of the target site T, for example, based on the relationship between the muscle discharge level and a preset threshold value.
  • the threshold value is stored in a memory (not shown) mounted on the terminal device 90.
  • the threshold value is defined based on the muscle condition and the like. Specifically, the threshold is based on the coach trainer's idea or theory, muscle usage based on the body type of the exerciser, data on the level of muscle discharge of the exerciser during good performance, and data on the level of muscle discharge of the modeler. It is defined based on at least one.
  • the form evaluation unit 91D for each phase of the plurality of phases, at least (i) the state of muscle discharge of the muscle at each location, (ii) the acceleration at each location, and (iii) the angular velocity at each location. Either one is compared with the corresponding threshold value to determine whether or not a predetermined condition is satisfied.
  • the form evaluation unit 91D regarding the state of the muscle activity in the phase in which the predetermined condition is not satisfied, that is, the threshold is not exceeded, the information on the deviation state from the threshold and the improvement information for approaching the threshold.
  • the evaluation information including at least one of the above is calculated.
  • the form evaluation unit 91D determines that the tibialis anterior muscle discharge of the axial foot is not sustained and the axial foot is not stable, the form evaluation unit 91D calculates information (improvement information) that prompts improvement of the form of the target site T. To do.
  • the foam evaluation unit 91D determines that the momentary rest time of a kicking foot that stores the force from flexion to extension is extremely long or extremely short, for example, based on the presence or absence of the muscle discharge of the lower limbs (hamstring, gastrocnemius muscle) immediately before the ball impact. When it is determined, the information (improvement information) that prompts the improvement of the form of the target part T is calculated.
  • the form evaluation unit 91D determines that the level of the muscle discharge of the gluteus maximus muscle during ball impact is smaller than the strength at which power should be exerted, the form evaluation unit 91D calculates information (improvement information) that prompts improvement of the form of the target site T. ..
  • the form evaluation unit 91D outputs evaluation information including at least one of information on the evaluation of the form of the target site T and information for promoting the improvement of the form of the target site T to the information output unit 91C.
  • the information output unit 91C outputs the evaluation information to the notification unit 93.
  • the notification unit 93 notifies the evaluation information.
  • the form evaluation unit 91D may output the evaluation information to the instruction calculation unit 91E.
  • the instruction calculator 91E calculates various instruction information in accordance with at least one of the second state information and the evaluation information.
  • the instruction calculation unit 91E displays a plurality of phase images IP indicating a series of changes in a specific form on the display unit 93B, and a plurality of states of muscle activity corresponding to each of the plurality of phase images IP.
  • the second instruction information to be displayed on the display unit 93B in association with the phase image IP is calculated.
  • the instruction calculator 91E outputs the calculated first instruction information and second instruction information to the information output unit 91C.
  • the information output unit 91C outputs the first instruction information and the second instruction information to the display unit 93B.
  • the display unit 93B displays the plurality of phase images IP and the muscle activity states corresponding to the plurality of phase images IP in association with each other according to the first instruction information and the second instruction information.
  • the display unit 93B associates, for example, a plurality of phase images IP relating to the infront kick with the muscle activity states of the gluteus maximus muscle and quadriceps femoris corresponding to each of the plurality of phase images IP. indicate.
  • the display unit 93B may display the target site T on the plurality of phase images IP and the muscle activity state in association with each other.
  • the state of muscle activity shown in FIG. 10 is colored according to the level of muscle discharge, for example. In the example shown in FIG. 10, the finer the dots, the higher the level of muscle discharge.
  • the instruction calculation unit 91E calculates the third instruction information to be displayed on the display unit 93B in association with the target site T and the muscle discharge level in one phase related to a specific form, for example.
  • the instruction calculation unit 91E outputs the calculated third instruction information to the information output unit 91C.
  • the information output unit 91C outputs the third instruction information to the display unit 93B.
  • the display unit 93B displays the target site T in one phase related to the specific form and the muscle discharge level in association with each other according to the third instruction information.
  • the display unit 93B displays the gluteus maximus muscle, the quadriceps femoris muscle, the hamstring, the tibialis anterior muscle, and the gastrocnemius muscle and the level of muscle discharge in association with each other when, for example, the step on the infront kick is performed.
  • the display unit 93B displays the target site T and the muscle discharge level in five levels.
  • FIG. 11 shows an example of the relationship between the target site T of the axial foot and the level of muscle discharge. In the example shown in FIG. 11, it is understood that the level of the muscle discharge of the tibialis anterior muscle of the axial foot during depression is low and the axial foot is not stable.
  • the exercise assistance program includes a first step S31 of reading first state information relating to the state of motion of the target part T detected by the detection unit 70, and a step of calculating the muscle activity state of the target part T according to the first state information.
  • the control unit 91 is caused to execute the two steps S32 and the third step S33 of outputting the second state information regarding the calculated state of the muscle activity.
  • the state of muscle activity can be measured.
  • the second step at least one of the level of muscle discharge included in the state of muscle activity, the timing of muscle activity, the order of muscle activity, the interlocking of muscle activities, the synchronization of muscle activities, the suppression of reciprocity, and the pretension. Calculate With the exercise support program, the state of muscle activity can be measured in detail.
  • the exercise assisting program further causes the control unit 91 to execute a fourth step S34 of evaluating the form of the target site T during exercise according to a specific form associated with a series of changes in accordance with the calculated state of muscle activity.
  • Exercise support programs can contribute to the improvement of a particular form over a series of changes.
  • the form of the target site T is evaluated according to the level of the muscle discharge. The muscular strength and stability of the target site T in the phase of the specific form are reflected in the level of muscle discharge, for example. According to the exercise assistance program, the form of the target site T can be evaluated appropriately.
  • the exercise assistance program displays the first instruction information that causes the display unit 93B to display a plurality of phase images IP representing a series of changes in a specific form, and states of muscle activity corresponding to each of the plurality of phase images IP in a plurality of phases.
  • the control unit 91 is further caused to execute the fifth step S35 of calculating the second instruction information to be displayed on the display unit 93B in association with the image IP.
  • the state of muscle activity in each of the plurality of phases can be provided to the exerciser and his/her trainer as visual information.
  • the graph shown in FIG. 12 shows an example of the relationship between the highly evaluated form and the first state information.
  • the acceleration of the lower leg (anterior tibial muscle) of the axial foot when stepping on is detected as a peak due to the impact caused by contact with the ground.
  • the peak of acceleration of the lower leg of the axial foot during the depression is relatively large, which suggests that the depression is strong.
  • the acceleration of the lower leg (anterior tibial muscle) of the kick leg during ball impact detects a peak due to the impact caused by contact with the ball. Since the peak of the lower leg's acceleration in the ball impact is relatively large, it is suggested that the ball impact is strong.
  • the value of the acceleration sensor shown in FIG. 12 is a composite value of three axes.
  • the two-dot chain line shown in FIG. 12 indicates the moment of ball impact.
  • the broken line shown in FIG. 12 indicates that the sensor value is 0.
  • ⁇ It is suggested that the axial foot is stable because the muscle discharge of the tibialis anterior muscle of the axial foot during depression is sustained.
  • the relatively high level of gluteus maximus muscle discharge during ball impact suggests that the deviation from the strength at which power should be exerted is small.
  • Immediately before the ball impact since there is no muscle discharge in the lower limbs (gastrocnemius), there is a momentary rest time of the kick leg that stores the force from flexion to extension.
  • the graph shown in FIG. 13 shows an example of the relationship between the low-rated form and the first state information.
  • the acceleration of the lower leg (anterior tibial muscle) of the axial foot when stepping on is detected as a peak due to the impact caused by contact with the ground. It is suggested that the foot is weak because the peak of the lower leg's acceleration at the foot is relatively small.
  • the acceleration of the lower leg (anterior tibial muscle) of the kick leg during ball impact detects a peak due to the impact caused by contact with the ball. It is suggested that the ball impact is weak because the peak of the lower leg's acceleration in the ball impact is relatively small.
  • the value of the acceleration sensor shown in FIG. 13 is a composite value of three axes. The chain double-dashed line shown in FIG. 13 indicates the moment of ball impact. The broken line shown in FIG. 13 indicates that the sensor value is 0.
  • ⁇ It is suggested that the axial foot is not stable because the muscle discharge of the tibialis anterior muscle of the axial foot does not continue during depression. Since the level of gluteus maximus muscle discharge at ball impact is relatively low, it is suggested that the deviation from the strength at which power is exerted is large. Immediately before ball impact, there is a muscle discharge in the lower limbs (gastrocnemius muscle), so a momentary rest time of the kick leg that stores the force from flexion to extension cannot be observed.
  • the exercise assistance system 1 executes at least one of the first control and the second control according to an exercise assistance program, for example.
  • the first control includes control for outputting evaluation information.
  • the second control includes control for outputting various instruction information.
  • at least one of the first control and the second control is executed based on the operation of the operation unit 92.
  • the exercise assistance system 1 may execute the first control and the second control in parallel according to the exercise assistance program.
  • the control unit 91 reads the first state information in step S41. Specifically, the information reading unit 91A reads the first state information regarding the state of motion of the target site T detected by the detection unit 70. Step S41 corresponds to the first step S31.
  • the control part 91 calculates the state of muscle activity in step S42. Specifically, the state calculation unit 91B calculates the state of muscle activity of the target site T according to the first state information. In other words, the state of muscle activity is measured according to the first state information.
  • Step S42 corresponds to the second step S32.
  • the control part 91 outputs 2nd state information in step S43. Specifically, the information output unit 91C outputs the second state information regarding the state of the muscle activity calculated in step S42 to the form evaluation unit 91D. Step S43 corresponds to the third step S33.
  • the control unit 91 evaluates the form in step S44. Specifically, the form evaluation unit 91D evaluates the form of the target site T according to the second state information. Step S44 corresponds to the fourth step S34.
  • the control part 91 outputs evaluation information in step S45. Specifically, the information output unit 91C outputs to the notification unit 93 evaluation information including at least one of information regarding the evaluation of the form of the target site T and information that prompts improvement of the form of the target site T.
  • the notification unit 93 notifies the evaluation information.
  • the control unit 91 may repeatedly execute the first control including the processes of steps S41 to S45 during the period in which the exercise assistance system 1 is used.
  • the processing of steps S51 to S52 included in the second control is the same as the processing of steps S41 to S42 included in the first control.
  • the control unit 91 outputs the second state information in step S53. Specifically, the information output unit 91C outputs the second state information regarding the state of muscle activity calculated in step S52 to the instruction calculation unit 91E. Step S53 corresponds to the third step S33.
  • the control unit 91 calculates various instruction information in step S54.
  • the instruction calculator 91E calculates at least one of the first instruction information, the second instruction information, and the third instruction information according to at least one of the second state information and the evaluation information.
  • the evaluation information is used in step S54, the processes of steps S43 to S44 are executed before step S54.
  • Step S54 corresponds to the fifth step S35.
  • the control part 91 outputs instruction information in step S55.
  • the information output unit 91C outputs the instruction information calculated in step S54 to the display unit 93B.
  • the display unit 93B displays various information according to the instruction information.
  • the control unit 91 may repeatedly execute the second control including the processes of steps S51 to S55 during the period in which the exercise assistance system 1 is used.
  • the exerciser uses exercise support system 1 according to the following steps.
  • the exerciser turns on the power of the exercise assistance system 1 in step S61.
  • the reference value of the sensor included in the detection unit 70 is calibrated.
  • the exerciser performs pairing between the wearing body 60 and the terminal device 90 in step S62.
  • the main body 80 and the terminal device 90 are paired according to the operation of the operation unit 92.
  • the exerciser mounts the mounting portion 61 on the target site T in step S63.
  • the exerciser carries out various types of training in step S64.
  • the exerciser may set the content of the exercise assistance program executed by the exercise assistance system 1 by operating the operation unit 92 before carrying out the training. When the content of the exercise assistance program is not set, for example, the exercise assistance program similar to that at the time of previous use is executed.
  • step S65 the exercise assistance program is executed.
  • the control unit 91 executes at least one of the first control and the second control according to the exercise assistance program.
  • the evaluation information is notified by the notification unit 93.
  • various information corresponding to the instruction information is displayed on the display unit 93B.
  • the trainer assisting the exerciser confirms various information notified by the notification unit 93 in step S66.
  • the trainer gives an instruction to improve the form related to training, for example, based on various information notified by the notification unit 93.
  • the exerciser may attach the attachment part 61 to the target site T before step S61 or step S62.
  • step S66 the exerciser may check the information notified by the notification unit 93.
  • various controls are executed according to the exercise assistance program, so that the exerciser can improve his or her own form. Therefore, the exerciser can wear an appropriate form.
  • the above description regarding the first and second embodiments is an example of a form that the exercise assisting program and the exercise assisting system including the same can take, and is not intended to limit the form.
  • the exercise assistance program and the exercise assistance system including the exercise assistance program according to the present invention can take a form in which, for example, modified examples of the first and second embodiments described below and at least two modified examples that do not contradict each other are combined.
  • control unit 31 of the first embodiment can be changed arbitrarily.
  • the control unit 31 is included in the server.
  • the wearing body 10 and the terminal device 30 communicate with each other via the Internet.
  • the control unit 31 is provided on the mounting body 10.
  • the control unit 31 is provided in the wear 11.
  • the control unit 41 may be configured integrally with the detection block 20 provided in the wear 11 or may be configured separately.
  • the detection block 20 is configured to be capable of electrically communicating with the control unit 31 by wire or wirelessly.
  • control unit 91 of the second embodiment can be arbitrarily changed.
  • the control unit 91 is included in the server.
  • the wearing body 60 and the terminal device 90 communicate via the Internet.
  • control unit 91 is included in the main body 80.
  • the control unit 91 and the terminal device 90 are configured to be electrically communicable.
  • the exercise assistance system 1 may be configured by omitting the terminal device 90.
  • the configuration of the detection unit 21 can be arbitrarily changed.
  • the detection unit 21 does not include the muscle state detection unit 22.
  • the detection unit 21 does not include the exercise state detection unit 23.
  • the detection unit 21 does not include the body angular velocity sensor 24.
  • the wearing body 10 of the first embodiment can be arbitrarily changed.
  • the wearing body 10 does not include the wear 11.
  • the detection block 20 is directly attached to the target site T.
  • the detection block 20 is fixed to the target site T by winding a tape or the like around the target site T so as to cover the detection block 20.
  • the body angular velocity sensor 24 is likewise directly attached to the target site T.
  • the body part corresponding to the target part T of the first embodiment can be arbitrarily changed.
  • the target site T includes the lower leg.
  • the wear 11 has a structure that can be attached to the lower leg.
  • the target site T includes the upper limb. In this case, the wear 11 has a structure that can be worn on the upper limb.
  • the mounting target of the mounting unit 61 of the second embodiment can be arbitrarily changed.
  • the mounting portion 61 is mounted on the lower leg.
  • the target site T includes the lower leg.
  • the mounting portion 61 includes the thigh.
  • the target site T includes the thigh.
  • the mounting unit 61 includes the upper body.
  • the target part T includes the upper body.
  • Specific foams include pitching foams.
  • the configuration of the mounting body 60 of the second embodiment can be arbitrarily changed.
  • the mounting body 60 does not include the mounting portion 61.
  • the detection unit 70 is directly attached to the body.
  • the detection unit 70 is fixed to the body by wrapping a tape or the like around the body so as to cover the detection unit 70.
  • the main body 80 may be attached to the body similarly to the detection unit 70.
  • the configuration of the exercise assistance system 1 of the first and second embodiments can be changed arbitrarily.
  • the exercise assistance system 1 is equipped with artificial intelligence (AI).
  • AI artificial intelligence
  • the exercise assistance program includes artificial intelligence.
  • Artificial intelligence includes, for example, deep running using a multilayered neural network.
  • the exercise assisting program, the exercise assisting system, and the information providing method in the exercise assisting system according to the present invention can be used for various exercise assisting systems including those for home use and business use.

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Surgery (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Physical Education & Sports Medicine (AREA)
  • Molecular Biology (AREA)
  • Physics & Mathematics (AREA)
  • Animal Behavior & Ethology (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Physiology (AREA)
  • Dentistry (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Rehabilitation Tools (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

La présente invention concerne un procédé de fourniture d'informations dans un système d'aide à l'exercice consistant à acquérir des informations relatives à la fatigue musculaire détectée par un capteur disposé dans un article porté qui est porté par un utilisateur. Les informations relatives à la fatigue musculaire comprennent un changement dans un champ électrique d'une partie du muscle de l'utilisateur, une vibration du muscle et la dureté du muscle. Le procédé de fourniture d'informations consiste en outre à déterminer si la force musculaire actuelle de ladite partie est égale ou inférieure à une force musculaire de référence, sur la base des informations relatives à la fatigue musculaire. Le procédé de fourniture d'informations consiste en outre à délivrer, à une unité de notification, des informations de risque indiquant une possibilité accrue de survenue d'une lésion musculaire ou d'une rupture musculaire, s'il est déterminé que la force musculaire actuelle de ladite partie est égale ou inférieure à la force musculaire de référence.
PCT/JP2019/051512 2018-12-27 2019-12-27 Programme d'aide à l'exercice, système d'aide à l'exercice et procédé permettant de fournir des informations dans un programme d'aide à l'exercice WO2020138457A1 (fr)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
JP2018246256A JP2020103656A (ja) 2018-12-27 2018-12-27 運動補助プログラムおよびこれを備える運動補助システム
JP2018-246256 2018-12-27
JP2018246253A JP2020103653A (ja) 2018-12-27 2018-12-27 運動補助プログラムおよびこれを備える運動補助システム
JP2018-246253 2018-12-27

Publications (1)

Publication Number Publication Date
WO2020138457A1 true WO2020138457A1 (fr) 2020-07-02

Family

ID=71125963

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2019/051512 WO2020138457A1 (fr) 2018-12-27 2019-12-27 Programme d'aide à l'exercice, système d'aide à l'exercice et procédé permettant de fournir des informations dans un programme d'aide à l'exercice

Country Status (1)

Country Link
WO (1) WO2020138457A1 (fr)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004141223A (ja) * 2002-10-22 2004-05-20 Tanita Corp 筋肉測定装置
JP2006230861A (ja) * 2005-02-28 2006-09-07 Minami Toro 筋肉疲労度測定装置
JP2013103062A (ja) * 2011-11-16 2013-05-30 Kumagawa:Kk 筋肉負荷監視装置
CN108888265A (zh) * 2018-05-23 2018-11-27 四川斐讯信息技术有限公司 一种运动预警方法及装置

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004141223A (ja) * 2002-10-22 2004-05-20 Tanita Corp 筋肉測定装置
JP2006230861A (ja) * 2005-02-28 2006-09-07 Minami Toro 筋肉疲労度測定装置
JP2013103062A (ja) * 2011-11-16 2013-05-30 Kumagawa:Kk 筋肉負荷監視装置
CN108888265A (zh) * 2018-05-23 2018-11-27 四川斐讯信息技术有限公司 一种运动预警方法及装置

Similar Documents

Publication Publication Date Title
US10828527B2 (en) Exosuit system systems and methods for assisting, resisting and aligning core biomechanical functions
US20200261010A1 (en) Soft tissue management method and system
US9186096B2 (en) System and method for measuring balance and track motion in mammals
US20190374161A1 (en) Exosuit systems and methods for detecting and analyzing lifting and bending
US20180028109A1 (en) System and method for a wearable knee injury prevention
JP2009125506A (ja) 歩容改善支援システム
Xia et al. Effects of two fatigue protocols on impact forces and lower extremity kinematics during drop landings: implications for noncontact anterior cruciate ligament injury
JP2003116822A (ja) 筋活動解析装置およびトレーニング装置
Dai et al. The effects of postseason break on knee biomechanics and lower extremity EMG in a stop-jump task: implications for ACL injury.
JP2020146344A (ja) 状態検知装置、状態検知方法、およびプログラム
WO2020138457A1 (fr) Programme d'aide à l'exercice, système d'aide à l'exercice et procédé permettant de fournir des informations dans un programme d'aide à l'exercice
WO2021032970A1 (fr) Capture de mouvement d'articulation
JP2020103656A (ja) 運動補助プログラムおよびこれを備える運動補助システム
KR101961127B1 (ko) 신체정보 측정용 웨어러블장치
US11305157B2 (en) Weight training method, apparatus and system
JP2020103653A (ja) 運動補助プログラムおよびこれを備える運動補助システム
CN114099250A (zh) 步行辅助系统、步行辅助方法和步行辅助程序
JP2017094054A (ja) 筋活動量決定装置、筋活動量決定方法、及びプログラム
TWI660713B (zh) 關節活動偵測之穿戴式裝置、方法及儲存媒體
WO2020138456A1 (fr) Programme d'aide à l'exercice, système d'aide à l'exercice et procédé de commande d'un système d'aide à l'exercice
TWI823561B (zh) 多模感知協同訓練系統及多模感知協同訓練方法
CN105435423A (zh) 侦测及提示人体下肢踩踏动作的方法
GOPALAI et al. Assistive vibrotactile biofeedback system for postural control on perturbed surface
GB2556888A (en) Smart apparel
JP2020103652A (ja) 運動補助プログラムおよびこれを備える運動補助システム

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 19901496

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 19901496

Country of ref document: EP

Kind code of ref document: A1