KR20230056118A - Exercise program recommendation system according to physical ability - Google Patents

Abstract

The present invention relates to a system that includes a terminal including a display that outputs exercise images for measuring exercise posture and physical strength and a camera for capturing a user from multiple angles to collect user motion information, analyzes user's skeleton data and exercise videos to set user's physical strength, and recommends exercise programs that correspond to the user's physical strength. Therefore, it is possible to exercise efficiently by recommending an appropriate exercise program according to the user's physical condition, posture, and physique.

Description

Exercise program recommendation system according to physical ability

The present invention relates to a system for recommending an exercise program according to physical ability, and to a system for recommending an exercise program suitable for a user's body shape and physical ability.

In general, exercise is known as an essential element to maintain health, and accordingly, fitness centers, pilates academies, yoga centers, and the like are emerging to improve the health of modern people.

However, it can be difficult for busy modern people to regularly go to a fitness center where exercise time is set to exercise. For this reason, interest in home training, which is exercise at home, is increasing, and YouTube's exercise contents or home training applications are increasing a lot.

However, in the case of existing video contents or applications for home training, feedback is provided to take the correct posture by comparing the appearance of a trainer or an avatar teaching an exercise motion with the user's skeleton data.

However, this method is a method of following a predetermined exercise video without considering the user's physical characteristics or physical condition. The problem is that it is not high.

An object of the present invention is to recommend an exercise program capable of supplementing insufficient exercise ability by measuring a user's physical condition.

In addition, an object of the present invention is to provide a system that recommends a suitable exercise program according to the user's posture and physique.

An exercise program recommendation system according to physical ability according to the present invention is a terminal including a display that outputs an exercise image for measuring exercise posture and physical strength, a camera that collects motion information of the user by photographing the user from various angles, and the motion information. A skeleton extraction unit that analyzes and extracts skeleton data; a skeleton analysis unit that compares the skeleton data and the exercise image to extract posture information about whether the exercise image and the user's posture match; It may include an exercise capacity evaluation unit that evaluates physical strength and generates physical strength information of the user, and an exercise recommendation unit that provides an exercise program corresponding to the physical strength information to the user.

The exercise capacity evaluation unit outputs an exercise image capable of evaluating agility, agility, balance, flexibility, and core on the display to measure the user's physical strength.

The exercise capacity evaluation unit may output an exercise image taking a static posture to the display and analyze the posture information to extract skeletal distortion information of the user.

The terminal may further include a biosensor that detects the user's biosignal and collects body information on weight, muscle mass, and body fat, and the exercise capacity evaluation unit receives the body information to generate physique information about the user's physique. there is.

The body change providing unit may further include storing the user's body image captured by the camera and providing the user's body image changed by date.

The body change providing unit may analyze the existing body image and the current body image, measure the changed body size, and calculate the amount of change in muscle strength.

The body change provider may analyze the body image and measure body sizes of the user's shoulder, chest, abdomen, thigh, hip, forearm, and leg.

The apparatus may further include a face extraction unit configured to analyze the skeleton data that changes over a predetermined period of time to determine a user's motion and extract user's exercise pace information.

The method may further include a feedback providing unit that receives posture information through the skeleton analyzer, displays a part where the skeleton data and the exercise image do not match, and provides posture feedback to a user by displaying a color and a phrase.

The character generator for generating a character corresponding to the skeleton data may further include an AR generator for outputting the exercise image to augmented reality using the character.

The present invention measures the physical state of the user, recommends an exercise program capable of supplementing the lack of exercise ability, and provides an exercise program suitable for the user's physical characteristics such as posture or physique, so that the user can exercise efficiently.

1 is a block diagram of a terminal according to an embodiment of the present invention.
2 is a block configuration of an exercise program recommendation system according to physical abilities according to an embodiment of the present invention.
3 is a block diagram of the exercise capacity evaluation unit according to an embodiment of the present invention.
4 is a flow chart for measuring user physical strength of a physical strength evaluation unit according to an embodiment of the present invention.
5 is a flow chart of a user posture measurement of a static evaluation unit according to an embodiment of the present invention.
6 is a flow chart of a user's physique measurement by a physique evaluation unit according to an embodiment of the present invention.
7 is an example of a method of extracting skeleton data according to an embodiment of the present invention.
8 is an example of a method for measuring a user's posture according to an embodiment of the present invention.
9 is an example of a method for providing feedback by comparing motion images and skeleton data according to an embodiment of the present invention.

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings.

Advantages and features of the present invention, and methods for achieving them, will become clear with reference to the embodiments described below in detail in conjunction with the accompanying drawings.

However, the present invention is not limited by the embodiments disclosed below, but will be implemented in a variety of different forms, and only these embodiments make the disclosure of the present invention complete, and common knowledge in the art to which the present invention pertains. It is provided to completely inform the person who has the scope of the invention, and the present invention is only defined by the scope of the claims.

In addition, in the description of the present invention, if it is determined that related known technologies may obscure the gist of the present invention, a detailed description thereof will be omitted.

Referring to FIG. 1 , a system for recommending an exercise program according to physical ability may include a terminal 1000 that photographs a user and provides information on exercise.

The terminal 1000 may include a display 10 that outputs an exercise shape, a camera 20 that captures a user's image, and a biosensor 30 that detects a user's biosignal and collects body information.

The display 10 may output an exercise image for measuring the user's exercise posture and physical fitness.

The exercise image may be an image in which a trainer or character takes an exercise and static posture to measure agility, agility, balance, flexibility, and core.

The camera 20 may generate motion information of the user by photographing the user.

The camera 20 may take pictures of the user's entire appearance by taking pictures from the user's front, side and rear surfaces.

The camera 20 may transmit and output the image information of the photographed user to the display 10 and may express the image of the user in three dimensions by capturing images from various angles.

Therefore, the user can check his or her movement through the display 10 and know whether he or she is taking the correct posture.

The camera 20 may measure an accurate posture using a 3D depth sensor.

The 3D depth sensor may measure the distance between the camera 20 and a specific body part of the user.

In detail, when the distance between the camera 20 and the user's shoulder is measured using the 3D depth sensor and the distance between the camera 20 and the user's pelvis is measured, if the user's pelvis is farther than the shoulder, the user It can be judged that is taking a posture with the pelvis pulled back.

Referring to FIG. 2 , a system 2000 for recommending an exercise program corresponding to the user's physical ability by measuring the user's physical ability based on the information collected through the terminal 1000 may be included.

The system for recommending the exercise program may include a skeleton extraction unit 100, a skeleton analysis unit 200, an exercise capacity evaluation unit 300, and an exercise recommendation unit 400.

Referring to FIG. 7 , the skeleton extractor 100 may extract skeleton data by analyzing motion information collected through the camera 20 .

The skeleton data is composed of a plurality of joints and bones, and may be data in which a plurality of joints and bones are set as one set.

Therefore, the skeleton extractor 100 recognizes the user's skeleton, extracts joints and bones based on the skeleton, calculates angles and distances between joints, and extracts x, y, z values in space, so that the user's Positions can be recognized in three dimensions.

The skeleton analysis unit 200 may compare the skeleton data and the exercise image to determine whether the posture of the exercise image and the user's posture match.

In detail, when the skeleton data collide with a specific position of the trainer or character in the exercise video, it can be determined that the user has taken the same posture as the trainer in the exercise video.

The specific location may be a joint location or external shape of the trainer.

That is, if the joint position of the trainer and the joint of the skeleton data match or the skeleton data is included in the outer shape of the trainer, it can be determined that the user has taken the correct posture.

The exercise capacity evaluation unit 300 may evaluate the user's physical strength based on the posture information extracted through the skeleton analysis unit 200 to generate user's physical strength information.

Referring to FIG. 3, the exercise capacity evaluation unit 300 includes a physical fitness evaluation unit 310 for evaluating the user's physical strength, a static evaluation unit 320 for evaluating the user's posture, and a physique evaluation unit for evaluating the user's physique ( 330) may be included.

The physical fitness evaluation unit 310 may measure the user's physical strength by outputting an exercise image corresponding to a physical fitness measurement item to the display 10 in order to measure the user's physical strength.

The physical fitness measurement items may be set to agility, agility, balance, flexibility, and core.

In detail, when the user's agility is to be measured, a side step movement capable of measuring the agility is output to the display 10, and the user follows the side step movement output on the display 10 within a given time. A level corresponding to the number of repetitions may be set by counting whether the number of times can be repeated.

As shown in FIG. 4, the physical fitness evaluation sequence for measuring the user's physical strength is to extract the user's skeleton data from the skeleton extractor 100 (S110) and display one of the physical fitness measurement items on the display 10. A motion image related to may be output (S120).

Then, the skeleton analysis unit 200 analyzes the exercise image and the skeleton data to determine whether the posture of the exercise image and the user's posture match (S130).

When the exercise image and the user's posture match, it is determined that the exercise operation has been completed once and counted, and repeated for a given time to measure physical strength.

After the physical fitness measurement time is completed, a user's fitness level corresponding to the counted value may be set (S140) and an exercise program corresponding to the user's physical fitness level may be recommended (S150).

The method for setting the physical fitness level of the user may be set based on physical fitness measurement data of other users.

For example, if the average value of the physical fitness measurement data of all users is 27, 25 to 29 is set to level 5, 20 to 24 is set to level 4, and 30 to 34 is set to level 6, and the levels can be set at 5 intervals. .

The exercise program recommendation method may recommend an exercise program capable of improving an item having the lowest level among physical fitness measurement items as a criterion.

The exercise capacity evaluation unit 300 outputs an image of the user taking a static posture to the display 10 to measure the posture of the user, compares the static posture with the skeleton data of the user taking the static posture, and extracts bone distortion information. A static evaluation unit 320 may be further included.

The bone distortion information may be a degree of mismatch between the user's posture and the correct posture.

The static evaluation unit 320 may evaluate the posture of the user by comparing the skeleton data of the trainer or character taking the correct static posture with the skeleton data of the user.

For example, when comparing the trainer's skeleton data and the user's skeleton data, if the user's left shoulder joint is located lower than the trainer's left shoulder joint, it can be determined that the user's left shoulder is drooping down.

In addition, when viewed from the side, the user's posture can be evaluated by comparing the positions of the head, shoulders, pelvis, and heel.

5 and 8, the static evaluation procedure for measuring the user's posture extracts the user's skeleton data from the skeleton extractor 100 (S210) and outputs the static posture to the display 10 (S210). S220).

Next, the skeleton analysis unit 200 analyzes the static posture and the skeleton data to determine whether the static posture and the user's posture match (S230).

Skeletal distortion information is extracted by calculating the degree of discrepancy of the body part where the static posture and the skeleton data do not match (S240).

Based on the skeletal distortion information, an exercise program capable of correcting the user's distorted body part may be recommended (S250).

Body information may be collected by analyzing the user's biosignal through the biosensor 30 of the terminal 1000 .

The body information may include information about weight, body fat, body water, muscle mass, bone volume, and the like.

The athletic ability evaluation unit 300 may further include a physique evaluation unit 330 that evaluates the user's physique based on the user's body information.

As shown in FIG. 6, the physique evaluation procedure for measuring the user's physique is to collect the user's body information using the terminal 1000 (S310) and extract the user's skeleton data from the skeleton extractor 100. (S320).

The user's physique may be analyzed (S330) by analyzing the body information and the skeleton data, and an exercise program to have a normal physique, such as weight loss, muscle mass increase, and body fat loss, may be recommended (S340).

The exercise recommendation unit 400 may provide a suitable exercise program based on the physical strength of the user measured by the exercise capacity evaluation unit 300 .

In detail, the exercise recommendation unit 400 determines that the physical fitness measurement item having the lowest level among the physical fitness measurement items measured by the physical fitness evaluation unit 310 is the user's weakness, and corresponds to the physical fitness measurement item having the lowest level. You can recommend an exercise program based on the exercise you do.

In addition, the exercise recommendation unit 400 may recommend a skeletal correction program corresponding to a part where the user's skeletal structure is distorted through the static evaluation unit 320 .

The exercise recommendation unit 400 may recommend an exercise program that adjusts an abnormal value among the body information to a normal value through the physique evaluation unit 330 .

For example, if the user's weight is obese, an exercise program for weight loss may be recommended, and if the user's muscle mass is low, an exercise program for increasing muscle mass may be recommended.

The face extraction unit 700 may analyze the skeleton data to extract user's movement pace information.

The exercise pace information may be a time required for the user to complete one exercise program output on the display 10 or a number of repetitions of an exercise output on the display 10 for a predetermined period of time.

In detail, the face extractor 700 can know the movement of the user through the skeleton data, and for example, when the hopping exercise is output on the display 10, the user can perform the hopping exercise several times for 10 minutes. It is possible to know the speed at which the user proceeds with the exercise by counting whether there is movement.

The pace extraction unit 700 can control the speed of the image output to the display 10 according to the user's movement pace through the movement pace information.

Referring to FIG. 9 , the feedback providing unit 500 may provide feedback so that the skeleton data and the exercise image do not match by displaying colors and phrases through the skeleton analysis unit 200 .

The feedback providing unit 500 may receive exercise pace information from the pace extraction unit 700 and provide feedback so that the exercise proceeds at a constant pace.

The body change providing unit 600 may store the user's body image captured by the camera 20 and analyze the change over time.

The body change providing unit 600 may calculate the changed body part by analyzing the previous body image and the current body image, and calculate the amount of muscle strength change by measuring the size of the changed body part.

The body part may measure the body size of the user's shoulder, chest, abdomen, thigh, hip, forearm, and leg.

The character generator 800 may create a character corresponding to the skeleton data.

The AR generator 900 may output the character created through the character generator 800 to the display 10 using augmented reality.

Therefore, the user can be positioned so that the character and the user match in the augmented reality, so it can be convenient to follow the character's posture.

In addition, since the position of the character output through the display is always created at the same position, the user can always exercise at the same position.

The present invention has been described above with reference to the embodiment (s) shown in the drawings, but this is only exemplary, and various modifications can be made thereto by those skilled in the art, and the above-described embodiments It will be appreciated that all or part of (s) may be configured in selective combinations. Therefore, the true technical protection scope of the present invention should be defined by the technical spirit of the appended claims.

1000: Terminal
10: display 20: camera
30: biosensor
2000: Exercise program recommendation system
100: skeleton extraction unit 200: skeleton analysis unit
300: exercise ability evaluation unit 310: physical strength evaluation unit
320: static evaluation unit 330: physique evaluation unit
400: exercise recommendation unit 500: feedback provision unit
600: body change provision unit 700: face extraction unit

Claims (10)

A terminal including a display that outputs an exercise image for measuring exercise posture and physical strength and a camera that collects motion information of the user by photographing the user from multiple angles;
a skeleton extractor extracting skeleton data by analyzing the motion information;
a skeleton analyzer that compares the skeleton data and the exercise image to extract posture information about whether the exercise image and the user's posture match;
an exercise capacity evaluation unit that evaluates the user's physical strength based on the posture information and generates user's physical strength information; and
An exercise program recommendation system according to physical ability, comprising: an exercise recommendation unit for providing an exercise program corresponding to the physical strength information to a user.
According to claim 1,
The exercise capacity evaluation unit,
A system for recommending an exercise program according to physical ability, characterized in that it includes a physical fitness evaluation unit that outputs an exercise image capable of evaluating one of agility, agility, balance, flexibility, and core on the display to set the user's physical fitness level.
According to claim 1,
The exercise capacity evaluation unit,
A system for recommending an exercise program according to physical ability, including a static evaluation unit that outputs an exercise image of a static posture on the display and analyzes the posture information to extract skeletal distortion information of the user.
According to claim 1,
The terminal further includes a biosensor that detects a user's biosignal and collects body information about weight, muscle mass, and body fat.
The exercise capacity evaluation unit,
A system for recommending an exercise program according to physical ability, including a physique evaluation unit that receives the body information and generates physique information about the user's physique.
According to claim 1,
The system for recommending an exercise program according to physical ability, further comprising: a body change providing unit that stores the user's body image captured by the camera and provides the user's body image changed by date.
According to claim 5,
The body change providing unit,
An exercise program recommendation system according to physical ability, characterized in that by analyzing the existing body image and the current body image and measuring the changed body size to calculate the amount of change in muscle strength.
According to claim 6,
The body change providing unit,
An exercise program recommendation system according to physical ability, characterized in that for measuring the body size of the user's shoulder, chest, abdomen, thigh, hip, forearm, and leg by analyzing the body image.
According to claim 1,
The system for recommending an exercise program according to physical ability, further comprising a face extraction unit that analyzes the skeleton data to determine the user's movement and extracts the user's exercise pace information.
According to claim 1,
and a feedback providing unit that receives posture information through the skeleton analysis unit and displays a portion where the skeleton data and the exercise image do not match with colors and texts to provide posture feedback to the user. Exercise program recommendation system according to
According to claim 1,
a character creation unit generating a character corresponding to the skeleton data;
An exercise program recommendation system according to physical ability, further comprising: an AR generator that outputs the exercise image in augmented reality using the character.

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