WO2023075052A1 - Dispositif d'accompagnement d'exercice à base d'intelligence artificielle utilisant la ludification - Google Patents

Dispositif d'accompagnement d'exercice à base d'intelligence artificielle utilisant la ludification Download PDF

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Publication number
WO2023075052A1
WO2023075052A1 PCT/KR2022/007146 KR2022007146W WO2023075052A1 WO 2023075052 A1 WO2023075052 A1 WO 2023075052A1 KR 2022007146 W KR2022007146 W KR 2022007146W WO 2023075052 A1 WO2023075052 A1 WO 2023075052A1
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user
information
exercise
physical strength
physical
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PCT/KR2022/007146
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English (en)
Korean (ko)
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강성훈
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주식회사 컴플렉시온
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Publication of WO2023075052A1 publication Critical patent/WO2023075052A1/fr

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    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
    • A63B24/0075—Means for generating exercise programs or schemes, e.g. computerized virtual trainer, e.g. using expert databases
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T13/00—Animation
    • G06T13/20—3D [Three Dimensional] animation
    • G06T13/40—3D [Three Dimensional] animation of characters, e.g. humans, animals or virtual beings
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00—Manipulating 3D models or images for computer graphics
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00—Manipulating 3D models or images for computer graphics
    • G06T19/003—Navigation within 3D models or images
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00—Manipulating 3D models or images for computer graphics
    • G06T19/20—Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00—Measuring of physical parameters relating to sporting activity
    • A63B2220/80—Special sensors, transducers or devices therefor
    • A63B2220/806—Video cameras
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20036—Morphological image processing
    • G06T2207/20044—Skeletonization; Medial axis transform

Definitions

  • the present invention relates to an artificial intelligence-based exercise coaching apparatus using gamification, and more particularly, generates user physical strength information based on joint motion data generated from a user's motion image, and based on the user's physical strength information, the user's
  • the present invention relates to an artificial intelligence-based exercise coaching device using gamification for generating physical fitness coaching information for managing a physical fitness level.
  • Self-management is essential in modern life. Self-management can be done in various aspects such as language learning, exercise, and hobbies. Among them, health management through exercise is self-management that most people try but fail in modern life where exercise is easy to lack. way. Because many people fail like this, individuals personally hire trainers or purchase exercise equipment to assist with their workouts.
  • An object of the present invention is to provide an artificial intelligence-based exercise coaching apparatus using gamification capable of generating user physical strength information representing a user's physical strength level based on joint motion data representing the user's joint motion.
  • Another object of the present invention is to provide an artificial intelligence-based exercise coaching apparatus using gamification capable of generating physical fitness coaching information for managing the physical strength level in response to joint motion data and the user physical strength information.
  • an object of the present invention is to provide an artificial intelligence-based exercise coaching device using gamification that generates a metaverse character image by combining a user character image representing a user and a user physical strength image representing user physical strength information.
  • An artificial intelligence-based exercise coaching apparatus using gamification includes a photographing unit for generating an exercise image by photographing a user performing an exercise; and generating joint motion data representing joint motions of the user from the motion images, generating user physical strength information representing a physical fitness level of the user based on the joint motion data,
  • a processor for generating fitness coaching information for managing the fitness level may include.
  • the processor generates target physical fitness information indicating a target physical fitness level of the user based on user information including at least one of body shape information, appearance information, age information, grade information, and gender information of the user, and wherein the The physical strength coaching information may be generated based on physical strength difference information between the user physical strength information and the target physical strength information.
  • the processor induces physical exercise type information of physical exercise to be performed by the user to manage the physical fitness level, physical exercise quantity information, and physical exercise inducing the user's body movement so that the user performs the physical fitness exercise.
  • One or more of the virtual images may be included in the physical fitness coaching information to generate the physical fitness coaching information.
  • the processor generates a user character image representing the user based on the user information, generates a user physical fitness image representing the user physical fitness information, and combines the user character image and the user physical fitness image to form a metaverse. Character images can be created.
  • the processor generates comprehensive physical strength point information of the user based on the user information and the user physical strength information, and compares the user's comprehensive physical strength point information with another user's comprehensive physical strength point information to determine the physical strength of the user.
  • Ranking information can be generated.
  • the processor Preferably, the processor generates user motor skill information indicating a motor skill level of the user based on the joint movement data, and manages the motor skill level in response to the joint movement data and the user motor skill information.
  • Motor skills coaching information can be created.
  • the processor may generate the motor skill coaching information based on target motor skill information indicating a target motor skill level of the user and motor skill difference information between the user motor skill information.
  • the artificial intelligence-based exercise coaching apparatus using gamification generates user physical strength information representing the user's physical strength level based on joint motion data representing the user's joint motion, thereby accurately measuring the user's own physical strength level. can figure it out
  • the artificial intelligence-based exercise coaching apparatus using gamification generates physical strength coaching information for managing the physical strength level in response to joint motion data and the user physical strength information, so that the user can improve the physical strength level. effective exercise can be performed.
  • the artificial intelligence-based exercise coaching apparatus using gamification generates a metaverse character image by combining a user character image representing a user and a user physical strength image representing user physical strength information, so that the user performs the game. You can do the exercise with pleasure.
  • FIG. 1 is a diagram illustrating an artificial intelligence-based exercise coaching apparatus and server using gamification according to an embodiment of the present invention.
  • FIG. 2 is a configuration block diagram of an artificial intelligence-based exercise coaching apparatus using gamification according to an embodiment of the present invention.
  • FIG. 3 is a diagram illustrating a user performing an exercise using an artificial intelligence-based exercise coaching apparatus using gamification according to an embodiment of the present invention.
  • 4 to 8 are diagrams for explaining a process of generating joint motion data by an artificial intelligence-based exercise coaching apparatus using gamification according to an embodiment of the present invention.
  • FIG. 9 is a diagram for explaining a process of generating user physical fitness information by an artificial intelligence-based exercise coaching apparatus using gamification according to an embodiment of the present invention.
  • FIG. 10 is a diagram showing an example of a screen displaying an exercise provided by an artificial intelligence-based exercise coaching apparatus using gamification according to an embodiment of the present invention.
  • the expression “has,” “may have,” “includes,” or “may include” refers to the presence of a corresponding feature (eg, a numerical value, function, operation, or component such as a part). , which does not preclude the existence of additional features.
  • expressions such as “A or B”, “at least one of A and/and B”, or “one or more of A or/and B” may include all possible combinations of the items listed together.
  • “A or B”, “at least one of A and B”, or “at least one of A or B” (1) includes at least one A, (2) includes at least one B, or (3) It may refer to all cases including at least one A and at least one B.
  • first, second, first, or “second” used in this document may modify various components, regardless of order and/or importance, and refer to a component as It is used only to distinguish it from other components and does not limit the corresponding components.
  • a first user device and a second user device may represent different user devices regardless of order or importance.
  • a first element may be called a second element, and similarly, the second element may also be renamed to the first element.
  • a component e.g., a first component
  • another component e.g., a second component
  • the certain component may be directly connected to the other component or connected through another component (eg, a third component).
  • an element e.g, a first element
  • another element e.g., a second element
  • the element and the other element are referred to as being “directly connected”. It may be understood that there are no other components (eg, a third component) between the components.
  • the expression “configured to” means, depending on the situation, e.g., “suitable for”, “having the capacity to” )", “designed to”, “adapted to”, “made to”, or “capable of” .
  • the term “configured (or set) to” may not necessarily mean only “specifically designed to” hardware.
  • the phrase “a device configured to” may mean that the device is “capable of” in conjunction with other devices or components.
  • a control unit configured (or set) to perform A, B, and C” can be used by a dedicated processor (eg, embedded processor) to perform the operation, or by executing one or more software programs stored in memory.
  • a dedicated processor eg, embedded processor
  • a general-purpose processor eg, CPU or application processor
  • ⁇ device may include one or more of a central processing unit (CPU), an application processor (AP), and a communication processor (CP). .
  • CPU central processing unit
  • AP application processor
  • CP communication processor
  • ⁇ device refers to all types of hardware devices including at least one processor, and may be understood as encompassing software configurations operating in the corresponding hardware devices according to embodiments.
  • ⁇ device may be understood as including, but not limited to, machine-driven devices, smartphones, tablet PCs, desktops, laptops, and user clients and applications running on each device.
  • FIG. 1 is a diagram illustrating an artificial intelligence-based exercise coaching device and server using gamification according to an embodiment of the present invention
  • FIG. 2 is an artificial intelligence-based exercise using gamification according to an embodiment of the present invention
  • 3 is a block diagram of a coaching apparatus
  • FIG. 3 is a diagram illustrating a user performing an exercise using an artificial intelligence-based exercise coaching apparatus using gamification according to an embodiment of the present invention.
  • the artificial intelligence-based exercise coaching apparatus 100 using gamification generates joint motion data from an exercise image of a user performing an exercise, Based on the joint motion data, user physical strength information and physical strength coaching information may be generated.
  • the joint motion data may be data on joint motion observed while the user performs an exercise.
  • the joint motion data includes coordinate information, straight lines, curves, point information, straight lines over time, curves, It may be a change value of each position of point information and a change value of an angle formed by a straight line and a curve.
  • the user's physical fitness information may be information representing the user's physical fitness level, and the physical fitness level may include a health fitness level and an exercise fitness level.
  • the health fitness level may include a muscular strength level, a muscular endurance level, a cardiorespiratory endurance level, a flexibility level, and a body composition level
  • an exercise fitness level may include a agility level, a coordination level, a balance level, and an agility level.
  • the artificial intelligence-based exercise coaching device 100 using gamification uses the user's physical strength, which is a basic physical ability required to lead a healthy life, and exercise technique when performing exercise. It can be classified as athletic stamina, which is the physical ability required to perform.
  • the artificial intelligence-based exercise coaching apparatus 100 using gamification determines the user's physical fitness level, which is divided into health fitness and exercise fitness, based on joint movement data, as user physical fitness information. can be created with
  • the artificial intelligence-based exercise coaching apparatus 100 using gamification may generate physical strength coaching information for coaching the user's physical strength exercise so that the user's physical strength information reaches the target physical strength information. .
  • the artificial intelligence-based exercise coaching apparatus 100 using gamification includes a photographing unit 110, a processor 120, a display unit 130, an input unit 140, and a communication unit 150. And it may include a storage unit 160.
  • the photographing unit 110 photographs the user U performing an exercise while watching the artificial intelligence-based exercise coaching apparatus 100 using gamification according to an embodiment of the present invention, and generates an exercise image as a photographing result. can do.
  • the exercise image may be not only one picture but also a motion image in which a plurality of motion images are mapped in chronological order.
  • the photographing unit 110 may include a camera module, and the type of camera module may be any one of a 2D camera, a 3D camera, and a monocular camera.
  • the processor 120 may generate joint motion data representing joint motions of the user from motion images. At this time, the processor 120 may input motion images as input data through the posture estimation artificial intelligence model and output joint motion data as output data.
  • the processor 120 may generate user physical strength information representing the user's physical strength level based on the joint motion data.
  • the processor 120 may match joint movement type information to each joint movement data, and calculate physical strength level adjustment information corresponding to each joint movement type information.
  • FIG. 4 to 8 are views for explaining a process of generating joint motion data by an artificial intelligence-based exercise coaching apparatus using gamification according to an embodiment of the present invention
  • FIG. 9 is an embodiment of the present invention. It is a diagram for explaining a process of generating user physical fitness information by an artificial intelligence-based exercise coaching device using gamification according to.
  • the processor 120 may match elbow flexion prenatal information representing elbow flexion and prenatal information as joint motion type information to each joint motion data, as shown in FIG. 4 .
  • the processor 120 may match knee flexion prenatal information indicating knee flexion and prenatal as joint motion type information to each joint motion data.
  • the processor 120 may match hip flexion prenatal information representing hip flexion and prenatal as joint motion type information to each joint motion data.
  • the processor 120 may match shoulder adduction and distortion information representing adduction and abduction of the shoulder with each joint movement data as joint movement type information.
  • the processor 120 may match hip adduction and distortion information representing adduction and abduction of the hip joint with each joint movement data as joint movement type information.
  • the processor 120 may match wrist pronation and supination information representing wrist pronation and supination as joint motion type information to each joint motion data.
  • the processor 120 may match ankle pronation and supination information representing ankle pronation and supination as joint motion type information to each joint motion data.
  • the processor 120 may match shoulder horizontal flexion prenatal information representing horizontal flexion and horizontal shoulder prenatal as joint motion type information to each joint motion data.
  • the processor 120 may match wrist ciliary dorsiflexion information indicating the clavicle and clavicle dorsiflexion of the wrist to each of the joint motion data as the joint movement type information.
  • the processor 120 may match wrist dorsiflexion and plantar flexion information indicating dorsiflexion and plantar flexion of the ankle to each joint motion data as joint motion type information.
  • the type of joint movement type may not be limited as long as the above-described joint movement type information represents the user's joint movement.
  • the joint motion type information may be information indicating any one of flexion, extension, abduction, adduction, rotation, rotation, supination, elevation, and descent for each joint.
  • the above-described matching of joint motion data and joint motion type information may refer to a process in which the processor 120 matches joint motion type information in which the joint motion indicated by the joint motion data is a corresponding type among joint motion type information. .
  • the processor 120 may check the fitness level adjustment index corresponding to the matched joint movement type information, and generate user physical strength information by applying the checked physical fitness level adjustment index to previously generated user physical strength information.
  • the processor 120 checks a fitness level adjustment index corresponding to the “hip abduction adduction information”, and the checked physical fitness level adjustment index is “ In the case of "increase flexibility by 3%", the flexibility level may be increased among a plurality of physical strength levels included in the user's physical strength information.
  • the processor 120 largely represents the user's fitness level as a health fitness level and an exercise fitness level, and the health fitness level is represented by a muscle strength level, a muscular endurance level, a cardiorespiratory endurance level, a flexibility level, and a body composition level, and an exercise fitness level.
  • the health fitness level is represented by a muscle strength level, a muscular endurance level, a cardiorespiratory endurance level, a flexibility level, and a body composition level, and an exercise fitness level.
  • the muscle strength level is level information representing the maximum force that can be exerted at one time
  • the muscular endurance level is level information representing the ability to repeatedly lift a certain weight of one's maximum muscle strength
  • the cardiorespiratory endurance level is breathing
  • flexibility level is level information representing the maximum range of movement of joints
  • body composition level is level information representing the components of the body can be
  • the agility level is level information representing the ability of the muscular nervous system to exert maximum force in a short time
  • the coordination level is level information representing how smoothly and accurately the body moves
  • the balance level is the level information representing the body in a certain posture. It is level information representing the ability to maintain, and the agility level may be level information representing the ability to quickly change the direction of movement.
  • the processor 120 may control the display unit 130 to be described below to display the generated user physical strength information as a physical fitness level.
  • the processor 120 may control the display unit 130 to display the health fitness level and exercise fitness level, which are detailed levels of the physical fitness level, in detail.
  • the processor 120 may generate user motor skill information indicating the user's motor skill level based on the joint motion data.
  • the exercise skill level may indicate the ability of the user to perform an exercise skill.
  • the processor 120 may generate physical fitness coaching information for managing a physical strength level in response to joint motion data and user physical strength information.
  • the processor 120 may generate target physical strength information representing a target physical strength level of the user based on user information, and may generate physical strength coaching information based on physical strength difference information between the user physical strength information and the target physical strength information.
  • the user information may include one or more of the user's body shape information, appearance information, age information, grade information, and gender information.
  • the processor 120 generates a target physical fitness level that the user should have as target physical fitness information in the user's exercise condition according to the user information, and physical strength coaching information for improving the physical fitness level that falls short of the target physical strength information among the user physical strength information.
  • the processor 120 may provide at least one of physical fitness exercise type information of a physical fitness exercise to be performed by the user to manage the physical fitness level, physical fitness exercise amount information, and a physical fitness exercise inducing virtual image for inducing the user's body movement so that the user performs the physical fitness exercise.
  • the fitness coaching information may be generated by including the fitness coaching information.
  • the exercise induction virtual image is generated in the shape of a human body performing a physical exercise and displayed on the display unit 130 to be described later, and the user moves the body in response to the exercise induction virtual image displayed on the display unit 130 to perform the physical fitness exercise.
  • the processor 120 may check grade information of the user among user information and generate physical fitness coaching information based on physical exercise curriculum information corresponding to the user's grade information.
  • the processor 120 may generate physical fitness coaching information based on physical exercise curriculum information, which is a physical exercise curriculum designed to achieve a physical fitness level that a user must achieve in a corresponding grade.
  • physical fitness exercise curriculum information may be preset as shown in Table 1 below.
  • FIG. 10 is a diagram showing an example of a screen displaying an exercise provided by an artificial intelligence-based exercise coaching apparatus using gamification according to an embodiment of the present invention.
  • the processor 120 can control the display unit 130 to generate a plurality of fitness coaching information that can be provided to the user according to the improved fitness item and display them as icons. Through this, the user can perform a physical fitness exercise according to the physical fitness coaching information by selecting an exercise corresponding to the physical fitness item that the user wants to improve.
  • the processor 120 may generate motor skill coaching information for managing the motor skill level in response to joint movement data and user motor skill information, and display it on the display unit 130 as shown in FIG. 9 . .
  • the processor 120 may generate exercise skill coaching information for improving the user's exercise skill level.
  • the processor 120 may generate motor skill coaching information corresponding to the joint movement data of the current user and the user motor skill information based on the motor skill improvement curriculum received from the server 200 .
  • the processor 120 may generate the motor skill coaching information based on the motor skill difference information between the target motor skill information representing the target motor skill level of the user and the motor skill information of the user.
  • the exercise skill coaching information includes a skill improvement exercise induction virtual image, and the skill improvement exercise induction virtual image is created in the shape of a human body performing a skill improvement exercise to improve the user's exercise skill to a target motor skill level, which will be described later. It is displayed on the display unit 130, and the user can perform a skill improvement exercise by moving his/her body in response to the skill improvement exercise inducement virtual image displayed on the display unit 130.
  • the processor 120 may generate a metaverse character image representing a user in the metaverse implemented by the server 200 .
  • the processor 120 may generate a user character image representing the user based on user information and a user physical strength image representing user physical strength information. Finally, the processor 120 may generate a metaverse character image by combining the user character image and the user physical strength image.
  • the processor 120 may generate a user character image with an image similar to the user's appearance, and generate a user's physical strength image with any one of star images, number images, and gauge images corresponding to the user's physical strength information.
  • the processor 120 may control the display unit 130 to display a user's metaverse character image and another user's physical fitness image on the metaverse implemented by the server 200 .
  • the user can visually check the physical condition of the user and other users.
  • the processor 120 may generate a metaverse character image that moves in response to a user's movement motion by applying the joint motion data to the metaverse character image.
  • the user's metaverse character on the metaverse is displayed while moving as an image corresponding to the user's exercise action when the user performs an exercise, and the user's moving metaverse character image can be shared with other users on the metaverse.
  • the processor 120 generates comprehensive physical fitness point information of the user based on the user information and the user physical strength information, and compares the user's comprehensive physical fitness point information with the comprehensive physical fitness point information of other users to generate the user's physical strength ranking information. can do.
  • the processor 120 groups the user information and the user information of other users, and arranges the comprehensive physical fitness score information of the users of the group including the user information in ascending order to obtain physical fitness ranking information for each user and other users. can create
  • the processor 120 may group similar user information into one group. Specifically, the processor 120 may group user information including the same age range, gender, weight range, and height range into the same group.
  • the user can check the ranking of his/her own physical strength among other users with similar conditions to the user himself.
  • the processor 120 checks the user's grade information, confirms whether an exercise previously performed by the user matches the grade target exercise corresponding to the user's grade information, and as a result of the check, the grade target exercise If it is confirmed that the user has performed the matching exercise, a goal achievement image indicating that the user has performed the grade goal exercise can be created and displayed on the metaverse by combining the user's metaverse character image.
  • the grade target exercise may refer to an exercise that the student must perform to develop the student's physical strength according to the grade.
  • the processor 120 may perform the operation of each of the above-described components, one or more cores (core, not shown) and a graphic processing unit (not shown) and / or a connection path for transmitting and receiving signals to and from other components (for example, a bus, etc.) may be included.
  • the processor 120 may be configured to perform the operation of each component described above by executing one or more instructions stored in the storage unit 160 .
  • the input unit 140 may receive various information from a store employee through a touch screen combined with the display unit 130 .
  • the display unit 130 may display images or videos under the control of the processor 120 .
  • the display unit 130 may be a touch screen display combined with a touch screen.
  • the communication unit 150 may provide a communication interface necessary to provide a transmission/reception signal between the server 200 and each device in the form of packet data in conjunction with a communication network. Furthermore, the communication unit 150 may serve to transmit data in response to data requests from respective devices.
  • the communication unit 150 may be a device including hardware and software necessary for transmitting and receiving a signal such as a control signal or a data signal with another network device through a wired or wireless connection.
  • the storage unit 160 may store programs (one or more instructions) for processing and control of the processor 120 .
  • Programs stored in the storage unit 160 may be divided into a plurality of modules according to functions.

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Abstract

Un dispositif d'accompagnement d'exercice à base d'intelligence artificielle utilisant la ludification selon la présente invention peut comprendre : une unité de capture d'image qui capture une image d'un utilisateur effectuant un exercice pour générer une image d'exercice ; et un processeur qui : génère, à partir de l'image d'exercice, des données de mouvement d'articulation indiquant des mouvements d'articulation de l'utilisateur ; génère des informations de force physique d'utilisateur indiquant le niveau de force physique de l'utilisateur, sur la base des données de mouvement d'articulation ; et génère des informations d'accompagnement de force physique pour gérer le niveau de force physique selon les données de mouvement d'articulation et les informations de force physique d'utilisateur.
PCT/KR2022/007146 2021-11-01 2022-05-19 Dispositif d'accompagnement d'exercice à base d'intelligence artificielle utilisant la ludification WO2023075052A1 (fr)

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