JP2021090779A - Program, computer device, and system for evaluating muscle tone, and muscle tone evaluation method - Google Patents

Abstract

To provide a program which is capable of evaluating the muscle tone of an exerciser on the basis of a captured image of the posture of the exerciser.SOLUTION: The purpose is achieved by means of a program, which is for evaluating the muscle tone of a client and is executed in a computer device, the program causing the computer device to function as: image capturing means which captures an image of the posture of the client who is in a standstill state and/or in a moving state; and evaluation means which evaluates the muscle tone of the client on the basis of the position of a prescribed body part, the inclination, and/or a positional relation between a plurality of prescribed body parts of the client in the image captured by the image capturing means.SELECTED DRAWING: Figure 2

Description

The present invention relates to a program, a computer device, and a system for evaluating a muscle condition, and a method for evaluating a muscle condition.

In order for people to maintain their health, it is important to carry out appropriate exercise on a daily basis. In recent years, an increasing number of people are exercising by using training facilities in order to improve their motor function. In addition, at treatment facilities such as osteopathic clinics, chiropractic clinics, and rehabilitation facilities, so-called exercise therapy is performed to reduce, treat, or restore the function of patients by causing them to perform various exercises. There is.

In order to enhance the effect of exercise, it is necessary to determine the exercise menu after assessing the physical condition of the exerciser. For example, even if the exercise menu is generally encouraged, when the physical condition of the exercise performer is not suitable for carrying out the exercise menu, when the exercise menu is carried out. In addition, muscles that should not be used may be used, or excessive load may be applied to the joints and soft tissues around the joints, which may lead to problems of failure and indefinite complaints.

In order to solve such a problem, for example, in Patent Document 1, a specific part image showing a plurality of specific parts is extracted from an image of an upright posture of an exerciser, and each specific part is specified based on the specific part image. A system that analyzes the posture of a part and provides an exercise menu according to the posture of each specific part to an exercise practitioner is disclosed.

JP-A-2017-47105

By the way, in order to provide an exercise menu that is more effective for the exerciser and reduces the possibility of failure or indefinite complaints, it is necessary to grasp the muscle condition of the exerciser. preferable. For example, the positions of muscles in a state of hypertonicity (shortening) (hereinafter, also referred to as "tension muscles") and muscles in a state of decreased tension (relaxation or weakening) (hereinafter, also referred to as "relaxation muscles") are separated. For example, it becomes possible to provide an exercise menu that appropriately works on each muscle, that is, an exercise menu that is more suitable for the exercise practitioner.

However, the system disclosed in Patent Document 1 does not provide an exercise menu after grasping the state of the muscle of the user. In order to provide an exercise menu that is more suitable for the exercise practitioner, it is desired that the muscle condition of the user can be grasped by a simple method.

The present invention has been made in view of the above problems. That is, an object of the present invention is to provide a program capable of evaluating the muscle condition of an exercise performer based on an image of the posture of the exercise performer.

The gist of the present invention is as follows.

[1] A program for causing a computer device to evaluate a client's muscle state, which is an imaging means and an imaging means for capturing the posture of a client in a stationary state and / or the posture of a client in an operating state. It functions as an evaluation means for evaluating the state of the client's muscles based on the position, inclination, and / or the positional relationship between a plurality of predetermined body parts in the image captured by the client. program.

[2] The computer device is further functioned as an object creation means for creating a plurality of objects for visualizing the position and / or inclination of each predetermined body part of the client, and the evaluation means is the position, inclination, and the like. The program according to the above [1], which evaluates the state of the muscles of the client based on the positional relationship between the plurality of objects.

[3] The program according to [2] above, wherein the evaluation means further evaluates the state of the muscles of the client based on the positional relationship between adjacent objects.

[4] The evaluation means evaluates whether the muscle at a predetermined site is in a state of hypotonia or a state of hypertonia, and a computer device is further used to evaluate the muscle in a state of hypotonia. The program according to any one of the above [1] to [3], which functions as a display means for displaying the position of the muscle and / or the position of the muscle in the hypertonic state in a predetermined mode.

[5] The program according to any one of [1] to [4] above, wherein the computer device functions as an exercise determining means for determining an exercise to be performed by a client based on an evaluation by the evaluation means.

[6] A computer device that evaluates the state of muscles of a client, which is an imaging means for capturing the posture of a client in a stationary state and / or the posture of a client in an operating state, and an image captured by the imaging means. A computer device comprising an evaluation means for evaluating a client's muscle condition based on the position, inclination, and / or positional relationship between a plurality of predetermined body parts of the client.

[7] A method for evaluating a client's muscle state, in which an imaging step of imaging a client's posture in a stationary state and / or a client's posture in an operating state using an imaging device and an imaging step are performed. The muscle has an evaluation step of evaluating the state of the client's muscle based on the position and inclination of the client's predetermined body part and / or the positional relationship between the plurality of predetermined body parts in the image. How to evaluate the condition.

[8] A system that evaluates the state of a client's muscle, which is realized by a computer device and a server device that can be connected to the computer device by communication, and changes the posture and / or operating state of the client in a stationary state. A client that captures the posture of a client and an image captured by the imaging means based on the position, inclination, and / or positional relationship between a plurality of predetermined body parts of the client. A system that includes an evaluation means for evaluating the condition of muscles in a muscle.

According to the present invention, it is possible to evaluate the state of the muscles of the exerciser based on the image of the posture of the exerciser.

It is a block diagram which shows the structure of the computer apparatus corresponding to at least one of the Embodiments of this invention. It is a flow chart of a program execution process corresponding to at least one of the embodiments of the present invention. FIG. 5 is a schematic diagram relating to an object generation method corresponding to at least one of the embodiments of the present invention. FIG. 5 is a schematic diagram relating to an object generation method corresponding to at least one of the embodiments of the present invention. It is a schematic diagram concerning the evaluation of the state of a muscle corresponding to at least one of the embodiments of this invention. It is a schematic diagram concerning the evaluation of the state of a muscle corresponding to at least one of the embodiments of this invention. It is a schematic diagram concerning the evaluation of the state of a muscle corresponding to at least one of the embodiments of this invention. It is a block diagram which shows the structure of the system corresponding to at least one of the Embodiments of this invention.

Hereinafter, embodiments of the present invention will be described with reference to drawings and the like, but the present invention is not limited to the following embodiments as long as it does not contradict the gist of the present invention. In the drawings, the code numbers assigned to each part of the human body may have different code numbers even if they are the same part. In addition, the order of each process constituting the flowchart described in the present specification is random as long as there is no contradiction or inconsistency in the process contents.

In the present specification, the “client” refers to a person who performs exercise, and includes, for example, a user of a training facility, a sports enthusiast, an athlete, a patient who is performing exercise therapy, and the like. In addition, the "trainer" refers to a person who gives exercise guidance and advice to a client, and includes, for example, a training facility instructor, a sports trainer, a coach, a judo rehabilitator, and a physiotherapist. Further, the "image" may be either a still image or a moving image.

[First Embodiment]
First, the outline of the first embodiment of the present invention will be described. In the following, as the first embodiment, a program for causing a computer device to evaluate the muscle condition of the client will be illustrated and described.

According to the computer device capable of executing the program according to the first embodiment, for example, the posture of the client is imaged by the trainer or the client himself, and the position and inclination of the predetermined body part of the client in the captured image. , And / or, it is possible to evaluate the condition of the client's muscles based on the positional relationship between a plurality of predetermined body parts. In addition, it is possible to provide an exercise menu suitable for the client based on the evaluation result of the muscle condition of the client.

FIG. 1 is a block diagram showing a configuration of a computer device 1 corresponding to at least one of the embodiments of the present invention. The computer device 1 includes a control unit 11, a RAM (Random Access Memory) 12, a storage unit 13, a sound processing unit 14, a sensor unit 16, a graphics processing unit 18, a display unit 19, a communication interface 20, an interface unit 21, and a camera. It includes at least parts 23, each of which is connected by an internal bus.

The computer device 1 is a terminal for the client to operate. Examples of the computer device 1 include, but are not limited to, personal computers, smartphones, tablet terminals, mobile phones, PDAs, server devices, and the like. It is preferable that the computer device 1 can be communicated with another computer device via the communication network 2.

Examples of the communication network 2 include various known wired or wireless communication networks such as the Internet, a wired or wireless public telephone network, a wired or wireless LAN, or a dedicated line.

The control unit 11 is composed of a CPU (Central Processing Unit) and a ROM (Read Only Memory), and includes an internal timer for measuring time. The control unit 11 executes the program stored in the storage unit 13 and controls the computer device 1. The RAM 12 is a work area of the control unit 11. The storage unit 13 is a storage area for storing programs and data.

The control unit 11 reads the program and data from the RAM 12 and performs processing. By processing the program and data loaded in the RAM 12, the control unit 11 outputs a sound output instruction to the sound processing unit 14 and outputs a drawing command to the graphics processing unit 18.

The sound processing unit 14 is connected to a sound output device 15 which is a speaker. When the control unit 11 outputs a sound output instruction to the sound processing unit 14, the sound processing unit 14 outputs a sound signal to the sound output device 15. From the sound output device 15, for example, it is preferable that instructions regarding the posture and exercise content of the client, feedback about the exercise, and the like are output by voice.

The sensor unit 16 includes at least one sensor selected from the group consisting of a depth sensor, an acceleration sensor, a gyro sensor, a GPS sensor, a fingerprint authentication sensor, a proximity sensor, a magnetic force sensor, a brightness sensor, a GPS sensor, and a pressure sensor. ing. From the viewpoint of monitoring the state of the movement performed by the client in detail, the sensor unit 16 preferably includes, for example, a depth sensor. For the purpose of monitoring the state of exercise performed by the client in detail, for example, using an external device such as a motion capture device, a pressure sensor, an electrocardiogram measuring device, or an ultrasonic measuring device, the external device is used. The information from may be received by the computer device 1.

The graphics processing unit 18 is connected to the display unit 19. The display unit 19 includes a display screen 19a and a touch input unit 19b. When the control unit 11 outputs a drawing command to the graphics processing unit 18, the graphics processing unit 18 expands the image in the frame memory (frame buffer) 17 and outputs a video signal for displaying the image on the display screen 19a. To do. The touch input unit 19b receives the operation input of the client, detects the pressing by a finger or a stylus on the touch input unit 19b, the movement of the position of the finger or the like, and detects the change in the coordinate position thereof. The display screen 19a and the touch input unit 19b may be integrally configured, for example, a touch panel.

The graphics processing unit 18 draws one image in frame units. One frame time of an image is, for example, 1/30 second. The graphics processing unit 18 is in charge of a part of arithmetic processing related to drawing performed only by the control unit 11, and has a role of distributing the load applied to the control unit 11.

The communication interface 20 can be connected to the communication network 2 wirelessly or by wire, and can transmit and receive data via the communication network 2. The data received via the communication network 2 is loaded into the RAM 12, and the control unit 11 performs arithmetic processing.

An input unit 22 (for example, a mouse, a keyboard, etc.) may be connected to the interface unit 21. The input information from the input unit 22 by the client is stored in the RAM 12, and the control unit 11 executes various arithmetic processes based on the input information. Alternatively, it is also possible to connect a storage medium reading device to the interface unit 21 and read a program, data, or the like from an external memory or the like. Further, the display unit 19 provided with the touch panel can be used as the input unit 22.

The camera unit 23 captures an image of the client, for example, a posture in a stationary state and / or an operating state of the client, a state in which the client is performing an exercise, and the like. The image captured by the camera unit 23 is output to the graphics processing unit 18. The camera unit 23 does not have to be provided in the computer device 1, and for example, an image captured by the client may be acquired by capturing an image captured by an external imaging device.

Next, the functions of the computer device corresponding to at least one of the embodiments of the present invention will be described. The computer device 1 includes, for example, an imaging function, an object generation function, an input reception function, a posture evaluation function, a muscle state evaluation function, an exercise menu determination function, a display function, and a memory function.

The imaging function has a function of imaging a client. The image pickup function captures an image of the posture of the client in the stationary state and / or the posture of the client in the operating state. Instead of the imaging function, an image captured by an external imaging device may be configured to be captured in the computer device 1.

The object generation function has a function of generating a predetermined object corresponding to a predetermined body part of the client based on the image captured by the imaging function. The object generation function makes it possible to easily visually recognize the position and / or inclination of each predetermined body part of the client. The generated object can be displayed on the display screen 19a or the display screen 49a. When the captured image is a moving image, for example, an object may be generated for each frame constituting the moving image, or a predetermined frame constituting the moving image such as a still image obtained by pausing the moving image. You may create an object only for that.

The input reception function has a function of receiving an operation input to the computer device 1 by a trainer or a client. The operation input can be performed, for example, via an input device such as a touch panel or a keyboard provided in the computer device 1. The input reception function accepts, for example, input for correcting the position, inclination, etc. of the object generated by the object generation function. By configuring the position and tilt of the object so that the trainer or the like can correct it, it becomes possible to infer the state of the muscles of the client more accurately. Further, it is preferable that the input reception function can input information about the client such as the client's complaint and the purpose of exercise.

The posture evaluation function has a function of evaluating the posture of the client in the stationary state and / or the operating state. The posture evaluation function can evaluate the posture of the client based on, for example, an image of the posture in the stationary state and / or the operating state of the client, or an object generated by the object generation function. It is preferable that the posture evaluation function has a function of automatically calculating which pattern the client's posture belongs to among a plurality of preset posture patterns indicating a difference from the ideal posture.

The muscle condition evaluation function has a function of inferring and deriving the muscle condition at a predetermined site of the client. The muscle state evaluation function infers the muscle state based on, for example, the position and inclination of a predetermined body part of the client and / or the positional relationship between a plurality of predetermined body parts. The muscle condition evaluation function is, for example, that the muscle condition at a predetermined site of the client is in a state of tension (shortening) hypertonia, in a state of relaxation (weakened) hypotonia, or in a normal state. You can guess if there is one.

For example, from the viewpoint of improving accuracy, the muscle state evaluation function preferably infers and derives the muscle state based on the object generated by the object generation function, and the position, inclination, and so on of each object. It is more preferable that the muscle state is inferred and derived based on the positional relationship between the plurality of objects. In particular, by considering the positional relationship between a plurality of objects, it is possible to infer the muscle state more accurately than in the case of inferring the muscle state by focusing on only one body part.

The exercise menu determination function has a function of determining an exercise menu to be executed by the client based on the estimation result of the muscle condition by the muscle condition evaluation function. It is preferable that the exercise menu determination function further determines the exercise menu based on the information about the client such as the client's complaint and the purpose of exercise. The exercise menu determination function may determine candidates for the exercise menu to be executed by the client. When configured in this way, for example, the exercise menu to be executed by the client is selected from the candidates for the exercise menu. , Trainers or clients may be able to choose.

The display function includes an image captured by the imaging function, an object generated by the object generation function, information on posture evaluation, information on muscle state inferred by the muscle state evaluation function, and an exercise menu determined by the exercise menu determination function. It has a function to display various information such as information related to the information in a manner recognizable by the client or trainer.

The memory function is, for example, a function of storing information on the estimation result of the muscle state by the muscle state evaluation function and an exercise menu determined by the exercise menu determination function and information on the exercise menu performed by the cleanant. Has. Further, it is preferable that the memory function stores information on the estimation result of the muscle condition and information on the exercise menu performed on the client in association with the date or time when they are performed. Further, the storage function preferably can store, for example, information for which input has been received by the input reception function, and the information is also stored in association with the date or time when the information was input or was transmitted. It is preferable that it is possible.

Next, the program execution process in the present embodiment will be described. FIG. 2 is a flow chart of program execution processing corresponding to at least one of the embodiments of the present invention.

First, the computer device 1 captures the posture of the client in the stationary state and / or the posture of the client in the operating state (step S1). As the stationary state, for example, a state in which a posture such as standing, standing forward bending, standing backward bending, standing rotation, sitting position, or kneeling is maintained is preferable, but the stationary state is not limited thereto. Further, as the operating state, for example, it is preferable that the support basal plane does not move and the articulated movement is performed. Specifically, the overhead squat, the single leg squat, and the squat and hip rotation. , Standing forward bending, standing backward bending, standing rotation, shoulder abduction, or shoulder horizontal adduction, etc. are preferable, but are not limited thereto. From the viewpoint of improving the ease and accuracy of muscle condition evaluation, in step S1, at least one of standing, overhead squat, or squat and hip rotation is performed by the client to adjust the client's posture. It is preferable to take an image.

Further, the posture in step S1 may be a posture in which the client is placed on a predetermined exercise assisting tool. As the exercise aid, for example, it is preferable to use a substantially columnar or substantially semi-cylindrical tool, specifically, a stretch pole (registered trademark) manufactured by LPN Co., Ltd. or a stretch pole (registered trademark) half-cut. And so on. When an exercise assisting tool such as these is used in step S1, for example, a state in which the posture of the supine position is maintained on the exercise assisting tool, an action of being in the supine position on the exercise assisting tool and performing axial rotation, and an exercise assisting tool. It is preferable to image the posture in the movement of raising the limbs in the supine or prone position on the stomach.

Further, as an exercise assisting tool, for example, the abdominal support portion that supports the client's abdomen and the side of the abdominal support portion that faces the abdominal support side can move left and right while supporting the abdomen. It is also preferable that the client has a ridge to support the client's abdomen when the client takes a prone position, and the client can exercise the limbs in that state. Examples thereof include Swing Stretch (registered trademark) manufactured by LPN Co., Ltd. When such an exercise assisting device is used in step S1, for example, from a state in which both elbows and knees are placed on the floor in a prone position on the exercise assisting device, diagonal hands and legs are removed from the floor. It is preferable to image the posture in the lifting motion and the like.

Further, the imaging in step S1 is performed from the front surface of the client, from the side surface, or from two directions of the front surface and the side surface, depending on the content of the stationary state and / or the operating state to be performed by the client. For example, in the case of standing and overhead squats, it is preferable to image from two directions, front and side, and in the case of squat and hip rotation, it is preferable to image from the front. By changing the imaging direction according to the content to be performed by the client, more accurate muscle condition evaluation becomes possible.

Next, the computer device 1 generates and displays a predetermined object corresponding to a predetermined part of the client's body based on the image captured in step S1 (step S2). It is preferable that the generated object is integrally displayed so as to be superimposed on the image captured in step S1.

Next, when the object displayed in step S2 is not displayed at a position sufficiently corresponding to a predetermined part of the client's body, the computer device 1 inputs an input for changing the object position to the trainer or the client. Accept from (step S3).

Here, with reference to FIG. 3, an example of an object generation method when an image (an image in the frontal plane direction) of the posture of the client is captured from the front will be described. FIG. 3 is a schematic diagram relating to an object generation method corresponding to at least one of the embodiments of the present invention. FIG. 3A shows a state in which the client stands upright at a predetermined position so that the second toes of both feet face the front and are parallel to each other, and the designated object at the height of the line of sight is directly viewed (standing posture). ) Is shown using the human skeleton diagram 101 as an example of an object generation method when an image taken from the front is used.

On the human skeleton diagram 101, a head object 102, a thoracic object 103, a pelvis object 104, a knee object 105, and a foot object 306 corresponding to predetermined parts in the human skeleton diagram are shown. Further, on the human skeleton diagram 301, a plurality of connecting lines 107 connecting the objects and a center of gravity line 108 are shown.

In the head object 102, for example, the line connecting the positions of the left and right external ear canals is used as the horizontal reference line, and the midline of the face connecting the positions of the eyebrows and the nasolabial fold is used as the vertical reference line. It is preferable to translate the reference line of the above to fit the outer ring of the skull. In the thoracic object 103, for example, a line connecting the positions of the left and right acromions and a line connecting the positions of the left and right rib arches are horizontal lines, respectively, and the position of the sternal peduncle neck notch and the position of the xiphoid process. It is preferable that the line connecting the two is used as the vertical reference line and the vertical reference line is translated along with the outer ring of the rib.

In the pelvis object 104, for example, the line connecting the positions of the left and right iliac crests is used as a horizontal reference line, and the line connecting the position of the pubic symphysis and the position of the navel is used as a vertical reference line. Is preferably translated so as to fit the outer ring of the pelvis. The right knee object 105a and the left knee object 305b are preferably created, for example, to correspond to the position and size of the knee joint (center of the patella).

The right foot object 106a and the left foot object 106b can be created, for example, based on the entire outer ring of the foot, specifically, a horizontal line passing through the tip of the toe and a horizontal line passing through the inner malleolus. It is preferably created by a line, a vertical line through the medial malleolus, and a vertical line through the lateral edge of the metatarsophalangeal joint. The connecting line 107 is a kind of object, and is for connecting adjacent objects and visualizing the state of the skeleton between the adjacent objects. The center of gravity line 108 is preferably a line perpendicular to the floor surface, passing through the midpoint of a line segment connecting the center points of the foot objects 106a and 106b, for example.

Each object is generated for the purpose of making it easy to visually grasp the position and inclination of each body part. Therefore, it is also possible to evaluate the posture and the muscle state based on the reference point and the reference line for generating the above-mentioned object without generating the object. Further, the shape of the object is not limited to the quadrangular shape, the round shape, and the rod shape shown in FIG. 9, and any object can be used as long as the position and inclination of each body part of the client can be visually grasped. It may be in shape.

FIG. 3B is an example in which a predetermined object is generated based on a posture image obtained by capturing a standing posture from the front, and the predetermined object is superimposed and displayed on the posture image. On the posture image 111, a head object 112, a thoracic object 113, a pelvis object 114, a knee object 115, and a foot object 116 corresponding to a predetermined part of the body of the client are shown. Further, on the posture image 111, a plurality of connecting lines 117 connecting the objects and a center of gravity line 118 are shown.

In FIG. 3B, each object or the like is created by using the method described in FIG. 3A. It is preferable that each object or the like is created by the computer device 1 by using, for example, a conventionally known technique related to motion capture or a technique related to image recognition. When using motion capture, for example, it is possible to create each object or the like by attaching a marker at a position that is the starting point of a reference line for creating each object as described above and detecting the position of the marker. it can.

Further, at the time of imaging in step S1, for example, a reference image as a reference for object generation such as the human skeleton diagram shown in FIG. 3A is displayed on the display screen, and the position of the reference image and the body of the client is displayed. Each object created based on the reference image may be superimposed on the posture image and displayed by taking an image together with the above.

If the position and size of the created object do not match the posture image, for example, it is possible to accept input from the trainer or client and correct the position, tilt, size, etc. of the object. is there.

When the image captured in step S1 is a moving image, that is, when the evaluation target is the posture in the operating state of the client, it is based on the still image obtained by pausing the moving image at a predetermined frame to be evaluated. It is preferable to create an object. The object generation method may be the same as the method described above, or may be a method according to the criteria set for each operation. From the viewpoint of improving the accuracy of the evaluation by the object, it is preferable that the motion performed in step S1 is an motion in which the shape of the spinal column or the torso does not include changes such as flexion, extension, and rotation during the motion. However, it is not limited. Examples of movements in which the shape of the spine or torso does not include changes such as flexion, extension, and rotation during movement include overhead squats, single leg squats, and squat and hip rotation.

Next, with reference to FIG. 4, an example of an object generation method when an image (an image in the sagittal plane direction) obtained by capturing the posture of the client from the left side surface will be described will be described. FIG. 4 is a schematic diagram relating to an object generation method corresponding to at least one of the embodiments of the present invention. FIG. 4 shows the left side of the state (standing posture) in which the client is upright at a predetermined position and the designated object at the eye level is directly viewed so that the second toes of both feet face the front and are parallel to each other. An example of an object generation method when an image taken from a surface is used is shown.

On the schematic view of the human body 121, a head object 122, a thoracic object 123, a pelvis object 124, a knee object 125, and a foot object 126 corresponding to predetermined parts in the schematic view of the human body are shown. Further, on the schematic view 121 of the human body, a plurality of connecting lines 127a to 127a and d connecting the objects are shown.

In the head object 122, for example, the line connecting the eye and ear holes is used as a horizontal reference line, the front line of the face is used as a vertical reference line, and each of the above reference lines is parallel to the outer ring of the skull. It is preferably created on the move.

In the thoracic object 123, for example, the line connecting the sternum stalk and the T3 spinous process is used as the lateral upper reference line, and the line passing through the lower edge of the 10th rib and parallel to the upper reference line is used as the lateral lower reference line, and the T3 spinous process is used. It is preferable to create a line connecting the protrusions to the T10 spinous process as the vertical right side reference line, passing through the lower edge of the 10th rib, and the line perpendicular to the upper side reference line and the lower side reference line as the vertical left side reference line. ..

The pelvic object 124 connects the anterior superior iliac spine and the posterior superior iliac spine (PSIS), for example, with the line passing through the anterior superior iliac spine (ASIS) and the pubic symphysis on the anterior surface of the pelvis as the vertical left side reference line. Create a horizontal upper reference line, a line parallel to the upper reference line through the pubic symphysis as a horizontal lower reference line, and a line parallel to the left reference line through the sacrum as a vertical right reference line. It is preferable to be done.

The knee object 125 is preferably created, for example, to correspond to the position and size of the knee joint. The foot object 126 is preferably created based on the entire foot outer ring.

The connecting line 127 is for connecting adjacent objects and visualizing the state of the skeleton between the adjacent objects. For example, the connecting line 127a is made to correspond to the cervical spine, the connecting line 127b is made to correspond to the lumbar spine, the connecting line 127c is made to correspond to the femur, and the connecting line 127d is made to correspond to the femur. It is preferably made to correspond to the tibia. Although not shown, when displaying the center of gravity line, for example, it is preferable to set the vertical line from about 2 cm in front of the outer ankle to the floor surface as the center of gravity line.

Even when the image of the client's posture is captured from the side, the same configuration as when the image of the client's posture is captured from the front is adopted except for the object generation method. Is possible.

Returning to the description of the flowchart of FIG. The computer device 1 evaluates the position of the object and the like (step S4). In step S4, for example, it is preferable that at least one or more of the position, inclination, or positional relationship between adjacent objects is evaluated. Further, from the viewpoint of more accurate evaluation of the posture of the client, it is more preferable to evaluate all of the position, inclination, and positional relationship between adjacent objects.

The position of each object is preferably evaluated based on the center of gravity point of each object such as the head object, the thoracic object, the pelvis object, the knee object, and the foot object, and the distance to the center of gravity line. It is preferable to evaluate the inclination of each object based on, for example, whether the horizontal lines constituting each object are parallel to the floor surface (whether the object is inclined to the left or right). When the distance between the center of gravity point of the object and the center of gravity line is zero or less than a predetermined distance, the position of the object is evaluated as normal. Further, when the horizontal lines constituting the object are substantially parallel to the floor surface, the inclination of the object is evaluated to be normal.

The positional relationship between adjacent objects is, for example, the distance between predetermined reference points (for example, predetermined vertices of the objects) between the objects, the inclination relationship between the objects, and the like, and the position and inclination of each object. It is preferable to perform this based on how much the deviation is compared with the case where is normal.

The computer device 1 determines the posture pattern of the client from a plurality of preset posture patterns based on the evaluation result of the object in step S4 (step S5). In step S5, for example, based on the evaluation result of the object in step S4, a feature seen in the posture of the client is selected from a plurality of preset feature candidates, and a posture pattern is created based on the selected feature. It is preferable to determine.

The posture pattern is classified based on, for example, the type of posture that is often seen when a predetermined stationary state or operating state is taken. The posture pattern is preferably set for each type of evaluation target, such as a standing posture front surface, a standing posture side surface, an overhead squat front surface, and an overhead squat side surface. From the viewpoint of letting the client grasp the physical condition and providing an exercise menu more suitable for the client, it is preferable that the process related to step S5 is executed, but the process related to step S5 is omitted. You may.

The evaluation of the object position and the like in step S4, the determination of the features and the determination of the posture pattern in step S5 may be automatically performed by the computer device 1, or the trainer evaluates the object position and the like and the posture of the client. This may be performed by inputting the features and posture patterns found in the above into the computer device 1.

Next, the computer device 1 infers the muscle state of the client based on the evaluation result in step S4 (step S6). Here, the processing in steps S4 to 6 will be described in detail. FIG. 5 is a schematic diagram relating to the evaluation of muscle condition corresponding to at least one of the embodiments of the present invention. In the example of FIG. 5, the evaluation of the muscle state when the object image created based on the image of the standing posture taken from the right side surface is used is shown.

The object image 131 is composed of a head object 132, a thorax object 133, a pelvis object 134, a knee object 135, a foot object 136, and a plurality of connecting lines 137a to d. Markers 141a to 141d indicate the positions of the tonic muscles. In addition, markers 142a to e indicate the positions of the relaxing muscles. Specific examples of the tonic muscles indicated by the markers 141a to 141d and the relaxing muscles indicated by the markers 142a to 142e are illustrated in FIG.

The muscle at the position corresponding to the marker 141a is based on, for example, that the acute angle formed by the connecting line 137a and the upper side of the thoracic object 133 is smaller than when the position and inclination of each object are normal. , It is presumed to be a tension muscle. Further, in the muscle at the position corresponding to the marker 142a, for example, the obtuse angle formed by the connecting line 137a and the lower side of the head object 132 is larger than when the position and inclination of each object are normal. It is inferred that it is a relaxing muscle based on.

Further, the muscle at the position corresponding to the marker 142c is, for example, the distance of the path from the position of the midpoint on the right side of the thoracic object 133 to the upper right apex of the pelvic object 134 through the right side of the thoracic object 133. However, it is presumed to be a relaxing muscle based on the fact that the position and inclination of each object are longer than in the normal case.

Further specific examples of the evaluation criteria of the muscle condition are shown with reference to FIGS. 6 and 7. FIG. 6 is a schematic diagram relating to the evaluation of the muscle condition corresponding to at least one of the embodiments of the present invention, and in particular, shows an example of the evaluation of the muscle condition in the vicinity of the head to the thorax.

The state of the muscle near the head to the neck can be evaluated based on, for example, the angles a and b formed by the connecting line 157a connecting the head object 152 and the thoracic object 153 and the lower side of the head object 152. it can. The muscle at the position corresponding to the marker 161a (for example, the suboccipital muscle, the upper trapezius muscle, etc.) has an angle a smaller than the angle (about 90 degrees) when the position and inclination of each object are normal. It is inferred that it is a tension muscle based on the fact that it is. Further, the muscle at the position corresponding to the marker 162a (for example, the flexor digitorum profundus muscle group of the neck) has an angle b larger than the angle (about 90 degrees) when the position and inclination of each object are normal. Based on the fact that it is, it is presumed to be a relaxing muscle. When the angle a is larger than 90 degrees, the muscle at the position corresponding to the marker 161a is presumed to be a relaxing muscle. Similarly, when the angle b is smaller than 90 degrees, the muscle at the position corresponding to the marker 162a is presumed to be a tension muscle.

The state of the muscle near the thorax can be evaluated, for example, based on the angles c and d formed by the connecting line 157a and the upper side of the thorax object 153. The muscle at the position corresponding to the marker 162b (for example, the middle trapezius fiber, the lower trapezius muscle, the serratus anterior muscle, etc.) has an angle c when the position and inclination of each object are normal (about 90). It is presumed to be a laxative muscle based on the fact that it is larger than the degree). Further, the muscles at the positions corresponding to the markers 161b (for example, the scalene muscle, the sternocleidomastoid muscle, the pectoralis major muscle, the pectoralis minor muscle, etc.) have an angle d when the position and inclination of each object are normal. It is presumed to be a tension muscle based on the fact that it is smaller than (about 90 degrees). When the angle c is smaller than 90 degrees, the muscle at the position corresponding to the marker 162b is presumed to be a tension muscle, and when the angle d is larger than 90 degrees, the marker 161b is used. The muscle at the corresponding position is presumed to be the relaxing muscle.

FIG. 7 is a schematic diagram relating to the evaluation of the muscle condition corresponding to at least one of the embodiments of the present invention, and in particular, shows an example of the evaluation of the muscle condition in the vicinity of the thorax to the pelvis.

The state of the muscles located posterior and anterior to the pelvis can be evaluated, for example, based on the angles e and f formed by the connecting line 157c connecting the pelvic object 154 and the knee object 155 and the lower side of the pelvic object 154. it can. The muscle at the position corresponding to the marker 162c (for example, the gluteus medius muscle, the gluteus maximus muscle, etc.) has an angle e larger than the angle (about 90 degrees) when the position and inclination of each object are normal. It is presumed to be a laxative muscle based on. Further, the muscles at the positions corresponding to the markers 161c (for example, the iliacus muscle, the psoas major muscle, the psoas minor muscle, etc.) have an angle f when the position and inclination of each object are normal (about 90 degrees). It is presumed to be a tension muscle based on the fact that it is smaller than. When the angle e is smaller than 90 degrees, the muscle at the position corresponding to the marker 162c is presumed to be a tension muscle. Similarly, when the angle f is larger than 90 degrees, the muscle at the position corresponding to the marker 161c is presumed to be a relaxing muscle.

The state of the muscles located between the thoracic object 153 and the pelvis object 154 and between the pelvis object 154 and the knee object 155 can be evaluated, for example, based on the distance between each object. When the distance between the predetermined vertices in each object is normal in the position and inclination of each object (the distance between the center of gravity point and the center of gravity line of each object is less than or equal to the predetermined distance, and the horizontal lines constituting each object are If it is longer than (such as when it is approximately parallel to the floor), the muscle located between the vertices is presumed to be a relaxing muscle, and the distance between predetermined vertices in each object is the position and inclination of each object. If it is shorter than the normal case, the muscle located between the vertices is presumed to be a tension muscle.

In the example of FIG. 7, the muscle at the position corresponding to the marker 162d (for example, the rectus abdominis muscle, the oblique abdominis muscle, etc.) is located between the lower right apex of the thoracic object 153 and the upper right apex of the pelvic object 154. It is inferred that the muscles are relaxed muscles based on the fact that the distance is longer than when the position and inclination of each object are normal. Similarly, muscles at positions corresponding to markers 161d (eg, erector spinae muscles, quadratus lumborum, etc.) have a distance between the lower left apex of the thoracic object 153 and the upper left apex of the pelvic object 154, respectively. It is presumed to be a tension muscle based on the fact that the position and inclination of the object are shorter than in the normal case.

Further, the muscle at the position corresponding to the marker 161e (for example, the rectus femoris muscle, the hip muscle, etc.) has a distance between the lower right apex of the pelvic object 154 and the intersection of the knee object 155 and the connecting line 157c. , It is presumed to be a tension muscle based on the fact that the position and inclination of each object are shorter than in the normal case. Similarly, the muscle at the position corresponding to the marker 162e (for example, hamstrings) has a distance between the lower left apex of the pelvic object 154 and the intersection of the knee object 155 and the connecting line 157c of each object. It is presumed to be a laxative muscle based on the fact that the position and inclination are longer than in the normal case.

As described above, for each muscle evaluation item, for example, the size of the angle formed by the object or the connecting line, the linear distance between the predetermined reference points on the object or the connecting line, the path distance, and the like. It is possible to infer the muscle condition by evaluating based on the predetermined muscle evaluation criteria set in.

In addition, depending on the degree of the size of the angle formed by the object or the connecting line, or the degree of the length such as the straight line distance or the path distance between the predetermined reference points on the object or the connecting line, the hypertonia or the tension decreases. It is also possible to infer the degree. For example, in FIG. 7, it can be inferred that the greater the angle e than in the normal case, the stronger the degree of relaxation of the muscle at the position corresponding to the marker 162c. Similarly, it can be inferred that the smaller the angle f than when it is normal, the stronger the degree of muscle tone at the position corresponding to the marker 161c.

Further, for example, in FIG. 7, the longer the distance between the lower right apex of the thoracic object 153 and the upper right apex of the pelvis object 154 is longer than in the normal case, the more the muscle at the position corresponding to the marker 162d is located. It can be inferred that the degree of relaxation is strong. Similarly, the shorter the distance between the lower left apex of the thoracic object 153 and the upper left apex of the pelvic object 154, the stronger the degree of muscle tone at the position corresponding to the marker 161d. it can. By inferring the degree of muscle tone or relaxation, the exercise menu determined in step S7 described later can be made more suitable for the client. Further, based on the degree of muscle tone or relaxation, for example, it becomes possible to set an appropriate priority for the exercise menu determined in step S7 described later.

In addition, the estimation of the muscle state in step S6 may be automatically performed by the computer device 1, or the trainer evaluates a predetermined muscle evaluation item based on a predetermined muscle evaluation standard, and relates to a tension muscle or a relaxed muscle. This may be done by inputting the information into the computer device 1. Further, each posture pattern may be associated with the estimation result of the muscle state in each posture pattern and stored in the storage unit in advance. With such a configuration, for example, it is possible to obtain an estimation result of the muscle state corresponding to the posture pattern only by determining the posture pattern of the client, so that the processing load can be reduced. However, from the viewpoint of more accurately inferring the state of muscles, it is possible to evaluate the position, inclination, and positional relationship between multiple objects, not from the posture pattern, based on the criteria described above. preferable.

The muscle state inferred in step S6 may be displayed on the display screen 19a using, for example, an image in which the object image and the marker are integrally displayed as shown in FIG. 5, and may be shown to the client. preferable. With such a configuration, the client can easily grasp the state of his / her muscles, that is, the state of his / her body.

Returning to the description of the flowchart of FIG. The computer device 1 determines the exercise menu to be executed by the client based on the estimation result of the muscle state in step S6 (step S7), and ends. In step S7, for example, an exercise menu for relaxing the muscles presumed to be tension muscles and an exercise menu for strengthening the muscles presumed to be relaxed muscles in step S6 are selected. Further, when the degree of muscle tone or relaxation is estimated in step S6, it is preferable to determine the priority of the exercise included in the exercise menu and the number of times of the exercise according to the degree of muscle tension or relaxation. Such a configuration makes it possible to provide the client with a well-suited exercise menu, and as a result, reduce the possibility of exercise-induced breakdowns and indefinite complaints.

Further, in step S7, in addition to the estimation result of the muscle state in step S6, it is preferable to determine the exercise menu based on the information about the client such as the chief complaint of the client and the purpose of exercise. With such a configuration, it becomes possible to provide an exercise menu more suitable for the client.

Here, the exercise menu includes at least one type of exercise. Further, it is preferable that the exercise menu includes the number of times the exercise should be performed. Information about the exercise menu determined in step S7 is displayed on the computer device 1. The information about the displayed exercise menu preferably includes, for example, an image showing the method of exercise, the purpose of the exercise, the priority of the exercise, and the like, in addition to the name of the exercise and the number of times the exercise is performed. Such a configuration makes it easy for the client to properly perform the most effective exercise. In addition, as a result of understanding and consciousness of the purpose of exercise, it becomes possible to further enhance the effect of exercise.

Further, when the client executes the exercise menu determined in step S7, the state of the exercise is monitored by the sensor unit 16 or the like, and if the exercise is not performed in an appropriate posture, that fact is displayed on the display screen 19a. Alternatively, audio may be output from the sound output device 15.

[Second Embodiment]
Next, the outline of the second embodiment of the present invention will be described. Hereinafter, as the second embodiment, a system for evaluating the muscle condition of the client, which is realized by the computer device and the server device that can be connected to the computer device by communication, will be described as an example.

FIG. 8 is a block diagram showing a system configuration corresponding to at least one of the embodiments of the present invention. As shown in the figure, the system 4 in the present embodiment includes a computer device 1, a communication network 2, and a server device 3.

The computer device 1 is connected to the server device 3 via the communication network 2. The server device 3 does not have to be always connected to the computer device 1, and may be connected as needed.

As for the specific configuration of the computer device 1, the contents described in the first embodiment can be adopted to the extent necessary. Further, the server device 3 includes, for example, a control unit, a RAM, a storage unit, and a communication interface, and can be configured to be connected by an internal bus.

Next, the configuration of the server device 3 will be described. The control unit is composed of a CPU and a ROM, and includes an internal timer that measures the time. The control unit executes the program stored in the storage unit and controls the server device 3. The RAM is the work area of the control unit. The storage unit is a storage area for storing programs and data. The control unit reads the program and data from the RAM, and performs the program execution process based on the information received from the computer device 1.

The communication interface can be connected to the communication network 2 wirelessly or by wire, and can transmit and receive data via the communication network 2. The data received via the communication network 2 is loaded into, for example, a RAM, and arithmetic processing is performed by the control unit.

Next, the functions of the system according to the second embodiment will be described. The system 4 includes, for example, an imaging function, an object generation function, an input reception function, a posture evaluation function, a muscle state evaluation function, an exercise menu determination function, a display function, and a memory function. For each function, the contents described in the first embodiment can be adopted to the extent necessary.

The system according to the second embodiment is not particularly limited, but for example, it is preferable that the computer device 1 is provided with an image pickup function, an input reception function, and a display function. Further, although not particularly limited, for example, at least a part of the object generation function, the posture evaluation function, the muscle state evaluation function, the exercise menu determination function, and the memory function may be provided in the server device 3. preferable.

In the system according to the second embodiment, the flow chart of the program execution process can adopt the contents described in the first embodiment to the extent necessary. The second embodiment is not particularly limited, but for example, the processes related to steps S1 and S3 are preferably executed mainly in the computer device 1, and the processes related to the other steps are preferably executed. , It is preferably executed mainly in the server device 3.

1 Computer device 2 Communication network 3 Server device 4 System 11 Control unit 12 RAM
13 Storage unit 14 Sound processing unit 15 Sound output device 16 Sensor unit 17 Frame memory 18 Graphics processing unit 19 Display unit 20 Communication interface 21 Interface unit 22 Input unit 23 Camera unit

Claims (8)

A program that causes a computer device to evaluate the muscle condition of a client.
Computer equipment,
An imaging means that captures the posture of a client in a stationary state and / or the posture of a client in an operating state.
It functions as an evaluation means for evaluating the state of the client's muscles based on the position, inclination, and / or positional relationship between a plurality of predetermined body parts in the image captured by the imaging means. Let the program. Computer equipment,
It functions as an object creation means for creating multiple objects for visualizing the position and / or tilt of each predetermined body part of the client.
The evaluation means evaluates the state of the client's muscles based on the position and inclination of the object and the positional relationship between the objects.
The program according to claim 1. Evaluation means,
Evaluate the client's muscle condition based on the positional relationship between adjacent objects,
The program according to claim 2. Evaluation means
It evaluates whether the muscle at a predetermined site is in a state of hypotonia or a state of hypertonia.
Computer equipment,
The position of the muscle in the hypotonic state and / or the position of the muscle in the hypertonic state is made to function as a display means for displaying in a predetermined mode.
The program according to any one of claims 1 to 3. In addition, computer equipment,
It functions as an exercise deciding means for deciding the exercise to be performed by the client based on the evaluation by the evaluation means.
The program according to any one of claims 1 to 4. A computer device that evaluates the condition of a client's muscles.
An imaging means that captures the posture of the client in the stationary state and / or the posture of the client in the operating state, and
An evaluation means for evaluating the state of the client's muscles based on the position, inclination, and / or positional relationship between a plurality of predetermined body parts in the image captured by the imaging means.
A computer device. It is a method of evaluating the muscle condition of the client.
An imaging step of capturing the posture of a client in a stationary state and / or the posture of a client in an operating state using an imaging device, and
An evaluation step of evaluating the state of the client's muscles based on the position, inclination, and / or positional relationship between a plurality of predetermined body parts in the image captured in the imaging step.
A method of evaluating the condition of muscles. A system for evaluating the state of a client's muscle, which is realized by a computer device and a server device that can be connected to the computer device by communication.
An imaging means that captures the posture of the client in the stationary state and / or the posture of the client in the operating state, and
An evaluation means for evaluating the state of the client's muscles based on the position, inclination, and / or positional relationship between a plurality of predetermined body parts in the image captured by the imaging means.
The system.

Images