WO2022145563A1

WO2022145563A1 - User-customized exercise training method and system

Info

Publication number: WO2022145563A1
Application number: PCT/KR2021/000771
Authority: WO
Inventors: 유제광
Original assignee: 동국대학교 산학협력단
Priority date: 2020-12-31
Filing date: 2021-01-20
Publication date: 2022-07-07
Also published as: KR102556863B1; KR20220098064A

Abstract

A user-customized exercise training system according to an embodiment of the present invention comprises: a sensing unit which collects motion data of a user; a calculation unit which analyzes the motion data and input data input by the user, and generates a training avatar on the basis of the analyzed data; an interface unit which provides images and sound to the user and receives inputs of the user; and a control unit which transmits and receives data between the sensing unit, the calculation unit, and the interface unit, and controls the operations of each. The calculation unit comprises: an analysis unit which extracts differences between the motion data and the input data, and calculates a conversion factor; and an avatar generation unit which generates a user avatar on the basis of the motion data, generates a target avatar on the basis of the input data, and generates the training avatar by applying the conversion factor.

Description

User-tailored exercise training method and system

The present invention relates to a user-customized exercise training method and system, and more particularly, to a user-customized exercise training that provides a user with an exercise training prescription suitable for the user's physical characteristics and purpose, such as body type, physical strength, athletic ability, etc. It relates to methods and systems.

Recently, a self-fitness system for exercising through virtual reality or an image has been released, and research on this is being actively conducted.

Furthermore, a system is being developed that implements the user's own appearance as an avatar, checks the user's own motion from a third-person point of view, or compares the user's motion with an expert's motion in real time.

In this case, since the physical characteristics of the trainer or the expert on the system are different from the physical characteristics of the user who is an exercise performer, the user's exercise immersion may decrease and it may be difficult to receive accurate correction of the motion.

An object of the present invention is to provide a user with a high-precision exercise training prescription according to the user's physical characteristics and purpose. In addition, by providing the user so that the user avatar and the training avatar can be compared and analyzed in real time, the user's convenience and exercise training effect are improved.

A user-customized exercise training system according to an embodiment of the present invention includes a sensing unit that collects motion data by sensing a user's physical characteristics and motion, analyzes the motion data and input data input by the user, and based on the analyzed data a calculator for generating an avatar for training, an interface for providing images and sound to a user, and receiving a user's input; and a control unit for controlling driving of each of the calculation unit and the interface unit, wherein the calculation unit analyzes the motion data and the input data to extract a difference between the motion data and the input data, and calculates a conversion factor and an avatar generator configured to generate a user avatar based on the analysis unit, the motion data, generate a target avatar based on the input data, and apply the transformation element to generate the training avatar.

The user avatar is synchronized to move in response to the user's movement through the image provided to the user, and the body shape of the training avatar is the same as that of the user avatar.

The motion data includes a numerical value of at least any one of a plurality of motion elements, and the plurality of motion factors include a user's muscle strength, muscle mass, body type, posture, fat mass, body weight, range of motion, flexibility, quickness, and balance ability. , cardiorespiratory ability, coordination ability, body-motor intelligence, kinesthetic ability, etc.

The input data includes a target value for a specific motion element targeted by a user among the plurality of motion elements, and the avatar generator generates a target avatar that satisfies the target value for the specific motion factor.

The conversion factor includes an amount of exercise, an operation maintenance time, a rest time, the number of operations, a breathing cycle, weight, calories consumed, an angular velocity of each joint, a linear velocity, and the like.

The interface unit may include a display unit providing an image to the user, a speaker providing sound to the user, and a controller receiving the user's input, wherein the display unit simultaneously displays the user avatar and the training avatar do.

The sensing unit includes a motion sensing unit for measuring the user's basic body information, biometric information, and movement information of the joints, and a gaze tracking unit for sensing the user's gaze by measuring the movement of the user's pupil.

The motion sensing unit includes at least one of a camera, a gyro sensor, a pressure sensor, a geomagnetic sensor, a skin conductivity sensor, an infrared sensor, a laser sensor, an RF sensor, and an ultrasonic sensor.

The display unit enlarges or highlights an area sensed by the eye tracking unit within the image range provided by the display unit, and displays the enlarged or emphasized area.

The display unit is provided in the form of a head mounted display.

A user-customized exercise training method according to an embodiment of the present invention includes collecting motion data by sensing a user's physical characteristics and movement, generating a user avatar based on the motion data, and selecting a target avatar through a user's input. generating, analyzing the motion data and the input data to extract a difference between the motion data and the input data, analyzing the difference to calculate a transform factor, applying the transform factor to the training avatar and prescribing an exercise to the user through the training avatar.

In the step of collecting the motion data, the motion data includes a numerical value of at least one of a plurality of motion elements, and the plurality of motion factors include a user's muscle strength, muscle mass, body type, posture, fat mass, body weight, It includes range of motion, flexibility, agility, balance ability, cardiorespiratory ability, coordination ability, body-motor intelligence, and kinesthetic ability.

The generating the target avatar includes: a user selecting a specific motion element that the user targets from among the plurality of motion elements, the user selecting a target value for the specific motion element, and the specific motion element and generating a target avatar that satisfies the target value for .

In the step of extracting the difference between the motion data and the input data, the difference is determined between the user avatar and the target avatar in terms of muscle strength, muscle mass, body type, posture, fat mass, weight, range of motion, flexibility, agility, balance ability, cardiopulmonary It includes the difference value of at least one of ability, coordination ability, body-motor intelligence, and kinesthetic ability.

In the step of calculating the conversion factor, the conversion factor includes an amount of exercise, an operation maintenance time, a rest time, the number of motions, a breathing cycle, weight, calories consumed, an angular velocity of each joint, a linear velocity, and the like.

Prescribing exercise to the user may include synchronizing the user avatar displayed on an image provided through a display so that it moves in response to the user's movement, and allowing the user to use the training avatar displayed on the image. requesting to follow the movement.

In the step of collecting the motion data, the motion data is collected by measuring through at least one of a camera, a gyro sensor, a pressure sensor, a geomagnetic sensor, a skin conductivity sensor, an infrared sensor, a laser sensor, an RF sensor, and an ultrasonic sensor. .

Prescribing exercise to the user may further include: collecting feedback data of the user during exercise; and resetting exercise prescription content based on the feedback data.

In the step of collecting the motion data, the motion data further includes interest information obtained by tracking the user's gaze by measuring the motion of the user's pupil.

According to the present invention, since a training prescription is provided through a display to correspond to the user's physical characteristics during exercise training, user convenience can be increased and the user's exercise effect can be improved.

1 is a block diagram schematically illustrating a user-customized exercise training system according to an embodiment of the present invention.

2A and 2B are diagrams illustrating a state in which a user exercises through a user-customized exercise training system.

3 is a diagram exemplarily illustrating a user, a user avatar, a target avatar, and an avatar for training.

4 is a diagram illustrating a user avatar and a training avatar displayed on the display unit.

5 is a step diagram of a user-customized exercise training method according to an embodiment of the present invention.

A user-customized exercise training system according to an embodiment of the present invention includes a sensing unit that collects user's motion data, analyzes the motion data and input data input by the user, and generates an avatar for training based on the analyzed data. Comprising a calculator, an interface for providing images and sound to a user and receiving a user's input, and a controller for transmitting and receiving data between the sensing part, the calculator and the interface, and controlling each operation, The calculation unit includes an analysis unit that extracts a difference between the motion data and the input data and calculates a transformation factor, and generates a user avatar based on the motion data, and generates a target avatar based on the input data; and an avatar generator configured to generate the training avatar by applying the transformation factor. According to the present invention, since the calculator generates a training avatar that has the same motion elements as those of the user's avatar and a transformation factor is applied to provide a customized exercise prescription to the user, the user's exercise effect is improved.

All the embodiments described below are illustratively shown to help the understanding of the present invention, and may be modified differently from the embodiments described herein and implemented in various embodiments. In addition, in the description of the present invention, if it is determined that a detailed description of a related known function or known component may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted.

The accompanying drawings are not drawn to scale in order to help the understanding of the invention, but the dimensions of some components may be exaggerated. Even if they are indicated in , they are indicated with the same symbols as possible.

In addition, in describing the components of the embodiment of the present invention, terms such as first, second, A, B, (a), (b), etc. may be used. These terms are only for distinguishing the elements from other elements, and the essence, order, or order of the elements are not limited by the terms. When it is described that a component is 'connected', 'coupled' or 'connected' to another component, the component may be directly connected, coupled, or connected to the other component, but the component and the other component It should be understood that another element may be 'connected', 'coupled' or 'connected' between elements.

Accordingly, since the embodiments described in this specification and the configurations shown in the drawings are only the most preferred embodiments of the present invention and do not represent all the technical spirit of the present invention, there may be various modified embodiments of the present invention. .

In addition, the terms or words used in the present specification and claims should not be limited to conventional or dictionary meanings, and the inventor may properly define the concept of the term in order to best describe his invention. Based on the principle, it should be interpreted as meaning and concept consistent with the technical idea of the present invention.

In addition, the present invention is not limited to the embodiments disclosed below, but will be embodied in various different forms, only these embodiments allow the disclosure of the present invention to be complete, and common knowledge in the art to which the present invention pertains It is provided to fully inform the possessor of the scope of the invention, and the present invention is only defined by the scope of the claims.

Also, the singular expression used in this application includes the plural expression unless the context clearly dictates otherwise.

Referring to FIG. 1 , a user-customized exercise training system 1000 according to an embodiment of the present invention may provide a customized exercise prescription to a user through an avatar displayed on an image.

The user-customized exercise training system 1000 includes a sensing unit 100 , a calculation unit 200 , a control unit 300 , and an interface unit 400 .

The sensing unit 100 collects motion data by sensing the user's physical characteristics and movement. Specifically, the sensing unit 100 includes a motion sensing unit 110 and an eye tracking unit 120 .

The motion sensing unit 110 collects motion data by measuring the user's basic body shape information, biometric information, and joint motion information. Illustratively, the basic body shape information may include body type, height, weight, body composition, muscle mass, body water content, metabolic rate, and the like. The biometric information may be a pulse, blood pressure, body heat, vital information, respiration rate, and the like. The motion information of the joints may be an angle between the joints, an angular velocity, a linear velocity, and the like.

The motion sensing unit 110 may calculate motion data based on the measured basic body shape information, biometric information, and motion information of joints. Specifically, the motion data may be a numerical value of at least one of the plurality of motion elements. The operation elements include the user's muscle strength, muscle mass, body type, posture, fat mass, weight, range of motion, flexibility, quickness, balance ability, cardiopulmonary ability, coordination ability, body-motor intelligence, kinesthetic ability, and the like.

The motion sensing unit 110 includes a plurality of sensors. The sensors may be installed at a predetermined distance from the user to photograph the user's movement, or may be worn, contacted, or attached to a part of the user's body to sense the user's movement. For example, the motion sensing unit 110 may include at least one of a camera, a gyro sensor, a pressure sensor, a geomagnetic sensor, a skin conductivity sensor, an infrared sensor, a laser sensor, an RF sensor, and an ultrasonic sensor.

The eye tracking unit 120 senses the user's gaze by measuring the movement of the user's pupil. Specifically, the eye tracking unit 120 may detect an area where the user gazes. The detected information is defined as interest information, and the interest information may be transmitted to the controller 300 .

Although not shown in the drawings, according to another embodiment of the present invention, motion data may be processed according to user data input to the user-customized exercise training system 1000 . User data is data input by a user. For example, the user data may include the user's disease information, past medical diagnosis records, diet information, sleep amount information, and the like.

The calculator 200 includes an avatar generator 210 and an analyzer 220 . The avatar generator 210 generates a plurality of avatars based on the motion data and the input data. A plurality of avatars are displayed on an image provided to the user. The input data is data input into the system by the user, and may be, for example, information on items of interest or preferred operation element, and target values for the corresponding operation element.

The analysis unit 220 extracts the difference between the motion data and the input data. A transform factor is calculated based on the difference. The calculated information is transmitted to the avatar generator 210 , and the avatar generator 210 may generate an avatar to which a transformation element is applied. Hereinafter, in FIG. 3 , the calculation unit 200 will be described in more detail below.

The control unit 300 controls driving of each of the sensing unit 100 , the calculation unit 200 , and the interface unit 400 , and transmits data between the sensing unit 100 , the calculation unit 200 , and the interface unit 400 . send and receive

The interface unit 400 provides an image and sound to a user and receives a user's input. Specifically, the interface unit 400 includes a display unit 410 , a speaker 420 , and a controller 430 .

The display unit 410 provides an image to the user. In this embodiment, the display unit 410 may be provided in a form mounted on a TV, tablet, PC, mobile electronic device, or the like. Also, in another embodiment of the present invention, the display unit 410 may be applied to a VR device that provides a 3D image to a user. In this case, the display unit 410 may be a head mounted display (HMD) worn on the user's head. Also, in another embodiment of the present invention, the display unit 410 may be provided in the form of an AR display such as smart glasses or HoloLens.

According to the present embodiment, the display unit 410 may enlarge or emphasize a specific area measured by the eye tracking unit 120 among the images provided by the display unit 410 . For example, the eye tracking unit 120 senses that the user gazes at the leg of one avatar, and enlarges the leg part of the avatar, or processes the leg part in a different color for emphasis, or slows the movement of the leg. Motion processing can be provided to the user.

The speaker 420 provides sound to the user. The sound may be a sound effect, music, voice, or the like.

The controller 430 is a means for receiving a user's input. The user may express an opinion through the controller 430 .

In another embodiment of the present invention, the user may input motion data using the controller 430 . That is, the controller 430 may have a built-in gyro sensor or a geomagnetic sensor, and may sense a user's movement through the sensors.

In the present invention, various types of means may replace the controller 430 in the range of receiving a user's input. In another embodiment of the present invention, the controller 430 may be replaced in the form of a keyboard, a mouse, a button, a remote control, a microphone, and the like.

In another embodiment of the present invention, the controller 430 may be omitted.

Although not shown in the drawings, the user-customized exercise training system 1000 according to an embodiment of the present invention may further include a storage unit (not shown). The storage unit (not shown) includes user data, motion data collected from the sensing unit 100 , input data, a plurality of avatars generated by the avatar generating unit 210 , and conversion factor data calculated by the analyzing unit 220 , etc. can be saved.

2A and 2B are diagrams exemplarily illustrating a state in which a user exercises through a user-customized exercise training system. 2A and 2B , a state in which the user US practices a golf swing through the corresponding system 1000 ( FIG. 1 ) is exemplarily shown.

2A is a case in which the display unit 410 provides an image through a monitor or TV. The user US may monitor his/her appearance through the image provided by the display unit 410 .

Among the sensors included in the sensing unit 100 , some sensors, such as a camera and an infrared sensor, are disposed on the display unit 410 to sense the appearance of the user US.

Among the sensors included in the sensing unit 100, some sensors, such as a gyro sensor and a geomagnetic sensor, are provided in the form of a pad attached to a part of the body such as a shoulder, knee, and elbow of the user (US) in the form of a pad (PD). Senses the movement of (US).

The golf club held by the user (US) may serve as a controller 430 including sensors. The control unit 300 (FIG. 1) is provided in the form of a set-top box (SB) to serve as a central processing unit.

2B illustrates a case in which the display unit 410 is provided in the form of a head mounted display (HMD). When the user US wears the head mounted display HMD on the head, a 3D image may be provided to the user US.

Referring to FIG. 3 , the avatar generator 210 generates a user avatar AV1 , a target avatar AV2 , and a training avatar AV3 . (a) is the appearance of the user (US), (b) is the appearance of the user avatar (AV1), (c) is the appearance of the target avatar (AV2), (d) is the appearance of the training avatar (AV3) to be.

The avatar generator 210 generates the user avatar AV1 based on the motion data of the user US. Accordingly, the motion data of the user avatar AV1 is the same as the motion data of the user US. The display unit 410 may provide an image by synchronizing the movement of the user avatar AV1 in response to the movement of the user US.

The target avatar AV2 is generated based on input data input by the user US. The user US may input a target value for a specific motion element among a plurality of motion elements into the system 1000, and the avatar generator 210 may generate a target avatar AV2 that satisfies the corresponding value. have. Illustratively, if the user US wants to learn Tiger Woods' golf swing posture, the avatar generator 210 may generate a target avatar ( AV2) is created.

The analysis unit 220 analyzes the user's motion data and input data, extracts a difference between the motion data and the input data, and calculates a conversion factor. That is, the analysis unit 220 extracts a difference between the user avatar AV1 and the target avatar AV2 to calculate a conversion factor. The transformation element is defined as an element requiring transformation in order to match the operation elements of the target avatar AV2 to the operation elements of the user avatar AV1. Illustratively, the conversion factor may include an amount of exercise, an operation maintenance time, a rest time, the number of operations, a breathing cycle, a weight, calories consumed, an angular velocity and a linear velocity of each joint, and the like.

Although not shown in the drawings, according to another embodiment of the present invention, the user may check at least a part of the difference between the user avatar AV1 and the target avatar AV2 through the display unit 410 . For example, the display unit 410 may provide information such as a ratio of segment lengths of the user avatar AV1 and the target avatar AV2, linear velocity, angular velocity, and the like to the user. The present invention is not particularly limited with respect to how the display unit 410 provides the difference information to the user.

In general, the numerical value of the operation element of the user avatar AV1 is different from the numerical value of the operation element of the target avatar AV2 . That is, the human motion is determined by the physical condition, the physical condition, and the body-exercise intelligent condition, but the values of the conditions of the user avatar AV1 and the values of the conditions of the target avatar AV2 may be different. . In this case, examples of the physical condition may include height, length and weight of body segments, and the like, and examples of the physical condition may include physical conditions such as muscle strength, endurance, flexibility, and the like. Examples of body-motor intellectual conditions may be sensory abilities and motor abilities, and the like. Illustratively, when the user (US) wants to learn the swing posture of Tiger Woods, the height of Tiger Woods, the length of arms/legs, the position of the joints, muscle mass, weight, range of motion, and exercise ability of the user (US) different from that Therefore, it is necessary to convert the numerical values of the operation elements of the target avatar AV2 to match the operation elements of the user avatar AV1.

The avatar generating unit 210 generates the training avatar AV3 by applying the transformation element. In this embodiment, the body shape of the training avatar AV3 is the same as that of the user avatar AV1.

Referring to FIG. 4 , the training avatar AV3 may be displayed together with the user avatar AV1 through an image provided by the display unit 410 . The training avatar AV3 provides an exercise prescription to the user US. The user US may perform an exercise by following the movement of the training avatar AV3, and may check his/her own movement through the user avatar AV1.

According to the present embodiment, the sensing unit 100 may collect feedback data including movement information and biometric information of the user US in real time during exercise. The calculator 200 may correct the motion data or reset the contents of the exercise prescription based on the feedback data. In addition, although not shown in the drawing, the display unit 410 provides the user with the operation of the user avatar AV1 and A difference in the operation of the training avatar AV3 may be provided to the user. Illustratively, the display unit 410 enlarges the screen to display the difference between the motions, reproduces a screen on which the difference between the motions is displayed in slow motion, and displays the difference in motion by graphing it with a numerical value, etc. can be provided to users.

Unlike this embodiment, when the user US follows the movement of the target avatar AV2 to which the transformation element is not applied, the movement of the user US cannot be the same as the movement of the target avatar AV2. The exercise effect may not be the same as the predicted value. That is, an exercise prescription in which the input data of the user US is not properly reflected may be provided to the user US. However, according to an embodiment of the present invention, the calculator 400 has the same operation elements as the operation elements of the user avatar AV1, but a transformation element is applied to provide a customized exercise prescription to the user US. Since the dragon avatar AV3 is generated, the exercise effect of the user US may be improved.

5 is a step diagram of a user-customized exercise training method according to an embodiment of the present invention. In the following description, reference numerals may be used for the same components as those described above, or descriptions may be omitted.

Referring to FIG. 5 , the user-customized exercise training method according to an embodiment of the present invention includes a motion data collection step (S10), a user avatar generation step (S20), a target avatar generation step (S30), a user avatar and a target avatar Comparing the differences (S40), generating an avatar for training by applying the differences (S50), and prescribing an exercise through the training avatar (S60).

First, in the motion data collection step S10, motion data may be collected in the form of sensing the user's physical characteristics and motion, and the motion data may include the numerical value of at least one motion element among a plurality of motion elements. have.

In the user avatar generation step S20 , the user avatar AV1 may be generated based on motion data. The motion element of the user avatar AV1 may be the same as that of the user.

In the target avatar generating step S30 , the target avatar AV2 may be generated according to a user input, and in the target avatar generating step S30 , the user selects a specific action element that the user targets from among the plurality of action elements. It includes the steps of selecting, the user selecting a target value for a specific motion element, and generating a target avatar AV2 that satisfies the target value for the specific motion element.

In the step (S40) of comparing the differences between the user avatar and the target avatar, the difference is muscle strength, muscle mass, body type, posture, fat mass, weight, range of motion, flexibility, reflexes, and balance between the user avatar (AV1) and the target avatar (AV2). It may include a difference value of at least one of ability, cardiopulmonary ability, coordination ability, body-motor intelligence, and kinesthetic ability, and the analysis unit 220 may calculate a conversion factor based on the difference value.

In the step of generating the training avatar (S50), the training avatar AV3 has the same operation elements as the user avatar AV1. Exemplarily, the training avatar AV3 is the same as the body type of the user avatar AV1.

In the exercise prescription step (S60) through the training avatar, the display unit 410 may provide the user avatar (AV1) and the training avatar (AV2) to the user through the displayed image, and the user (US) is trained By following the movement of the dragon avatar AV3, an exercise can be performed, and one's own movement can be confirmed through the user's avatar AV1.

Although the embodiments of the present invention have been described in more detail with reference to the accompanying drawings, the present invention is not necessarily limited to these embodiments, and various modifications may be made within the scope without departing from the technical spirit of the present invention.

Therefore, the embodiments disclosed in the present invention are not intended to limit the technical spirit of the present invention, but to explain, and the scope of the technical spirit of the present invention is not limited by these embodiments. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. The protection scope of the present invention should be construed by the following claims, and all technical ideas within the scope equivalent thereto should be construed as being included in the scope of the present invention.

The present invention extracts a difference between a target avatar having a motion element targeted by the user and a user avatar having the same motion element as the user, and generates a training avatar having the same motion element as the user but to which the difference is applied. Since the user can be prescribed an exercise suitable for the user's physical condition through the training avatar, the present invention has high industrial applicability in terms of improving the user's exercise effect.

Claims

a sensing unit for collecting motion data by sensing the user's physical characteristics and movement;

a calculator that analyzes the motion data and input data input by a user, and generates an avatar for training based on the analyzed data;

an interface unit that provides images and sounds to a user and receives a user's input; and

a control unit for transmitting and receiving data between the sensing unit, the calculating unit, and the interface unit, and controlling driving of each of the sensing unit, the calculating unit, and the interface unit;

The calculation unit,

an analysis unit that analyzes the motion data and the input data to extract a difference between the motion data and the input data, and calculates a conversion factor; and

and an avatar generator configured to generate a user avatar based on the motion data, generate a target avatar based on the input data, and apply the transformation element to generate the training avatar.
The method of claim 1,

The user avatar is synchronized to move in response to the user's movement through the image provided to the user,

The body shape of the training avatar is the same as that of the user avatar.
The method of claim 1,

The motion data includes the numerical value of at least any one of the plurality of motion elements, and the plurality of motion factors include the user's muscle strength, muscle mass, body type, posture, fat mass, body weight, range of motion, flexibility, quickness, and balance ability. , a user-customized exercise training system including cardiopulmonary ability, coordination ability, body-motor intelligence, and kinesthetic ability.
4. The method of claim 3,

The input data includes a target value for a specific operation element targeted by the user among the plurality of operation elements,

The avatar generator generates a target avatar that satisfies the target value for the specific motion element.
The method of claim 1,

The conversion factor is a user-customized exercise training system including an amount of exercise, an operation maintenance time, a rest time, the number of operations, a breathing cycle, weight, calories consumed, an angular velocity of each joint, a linear velocity, and the like.
The method of claim 1,

The interface unit,

a display unit providing an image to the user;

a speaker providing sound to the user; and

A controller for receiving the user's input,

The display unit is a user-customized exercise training system for simultaneously displaying the user avatar and the training avatar.
7. The method of claim 6,

The sensing unit,

a motion sensing unit for measuring the user's basic body type information, biometric information, and motion information of joints; and

A user-customized exercise training system including an eye tracking unit sensing the user's gaze by measuring the user's pupil movement.
8. The method of claim 7,

The motion sensing unit is a user-customized exercise training system comprising at least one of a camera, a gyro sensor, a pressure sensor, a geomagnetic sensor, a skin conductivity sensor, an infrared sensor, a laser sensor, an RF sensor, and an ultrasonic sensor.
8. The method of claim 7,

The display unit is a user-customized exercise training system for displaying an area sensed by the eye tracking unit by enlarging or emphasizing within the image range provided by the display unit.
7. The method of claim 6,

The display unit is a user-customized exercise training system provided in the form of a head mounted display.
collecting motion data by sensing the user's physical characteristics and movement;

generating a user avatar based on the motion data;

generating a target avatar through a user input;

analyzing the motion data and the input data to extract a difference between the motion data and the input data;

calculating a transformation factor by analyzing the difference;

generating an avatar for training by applying the transformation factor; and

and prescribing an exercise to the user through the training avatar.
12. The method of claim 11,

In the step of collecting the motion data,

The motion data includes a numerical value of at least any one of a plurality of motion elements, and the plurality of motion factors include a user's muscle strength, muscle mass, body type, posture, fat mass, body weight, range of motion, flexibility, quickness, and balance ability. , cardiorespiratory ability, coordination ability, body-motor intelligence, a user-customized exercise training method including kinesthetic ability, etc.
13. The method of claim 12,

The step of generating the target avatar comprises:

selecting, by the user, a specific operation element targeted by the user from among the plurality of operation elements;

selecting a target value for the specific action element by the user; and

and generating a target avatar that satisfies the target value for the specific motion element.
12. The method of claim 11,

In the step of extracting the difference between the motion data and the input data,

The difference between the user avatar and the target avatar is at least one of muscle strength, muscle mass, body type, posture, fat mass, weight, range of motion, flexibility, agility, balance ability, cardiorespiratory ability, coordination ability, body-motor intelligence, and kinesthetic ability. A user-customized exercise training method including any one difference value.
12. The method of claim 11,

In the step of calculating the transformation factor,

The conversion factor is a user-customized exercise training method including the amount of exercise, the duration of the motion, the rest time, the number of motions, the breathing cycle, the weight, the calories consumed, the angular velocity of each joint, the linear velocity, and the like.
12. The method of claim 11,

Prescribing exercise to the user includes:

synchronizing the user avatar displayed on an image provided through a display to move in response to the user's movement; and

and requesting a user to follow the movement of the training avatar displayed on the image.
12. The method of claim 11,

In the step of collecting the motion data, the motion data is collected by measuring through at least one of a camera, a gyro sensor, a pressure sensor, a geomagnetic sensor, a skin conductivity sensor, an infrared sensor, a laser sensor, an RF sensor, and an ultrasonic sensor. User-tailored workout training methods.
12. The method of claim 11,

Prescribing exercise to the user includes:

collecting user feedback data during exercise; and

User-customized exercise training method further comprising the step of resetting the exercise prescription contents based on the feedback data;
19. The method of claim 18,

In the step of collecting the motion data,

The motion data further includes interest information obtained by measuring the movement of the user's pupil and tracking the user's gaze.