10 results about "Exercise Type" patented technology

A system includes a processor that is configured to receive input information including a user's training goal and type of sport, generate a training plan based on the received information, capture and upload a training video of the user performing training according to the training plan, analyze the uploaded training video to identify errors in the user's movements and points for correction, and provide the identified correction points and specific methods for improvement to the user.

A server apparatus may be provided. The server apparatus may comprise a communication circuit memory and a processor. The processor may: when an exercise type in which a user participates in a challenge and a target value of the user are received from a user device through a communication circuit, identify a type of information related to the exercise type; in response to having transmitted a request for information corresponding to the identified type to the user device through the communication circuit, when the information corresponding to the identified type is received from the user device, identify an exercise ability of the user for the exercise type on the basis of the received information; acquire a correction value for correcting the target value of the user, on the basis of an exercise ability of each of a plurality of users who have participated in the challenge; transmit information about the correction value to the user device through the communication circuit so that the user device corrects the target value on the basis of the correction value; and display a user interface (UI) screen comprising the corrected target value and a character corresponding to the corrected target value.

Multi-device cooperative AI personalized exercise planning generation system. The present application belongs to the technical field of intelligent fitness and health management, and specifically relates to a multi-device cooperative AI personalized exercise planning generation method, which comprises the following steps: S1: obtaining a user basic parameter set and a current dynamic physiological parameter set; S2: performing preprocessing and feature extraction based on the basic parameter set and the current dynamic physiological parameter set, generating a multi-dimensional derived feature vector and a standardized user vector through a feature engineering module; S3: performing feature fusion using the standardized user vector and the multi-dimensional derived feature vector to generate a multi-dimensional user state portrait feature sequence; and S4: performing parallel analysis and decision on the multi-dimensional user state portrait feature sequence using a multi-source hybrid decision model to generate an exercise type preference vector. The present application can realize highly personalized, scientific and safe dynamic exercise planning which can be continuously executed across devices by fusing multi-source heterogeneous data, performing parallel multi-source hybrid decision, dynamically weighted fusion and exercise science knowledge graph mapping.

One aspect of the invention provides a computer-based method for providing corrective feedback about exercise form, the method comprising; recording a user performing a specific exercise: evaluating, by the computer, with machine learning, computer vision, or deep learning models that have been previously trained in order to evaluate the form of a user by training on labelled and or unlabeled datasets that consist of: both correct and incorrect exercise form for the different types of exercises being evaluated; identifying the user throughout the video, the exercise type, each repetition of the exercise, the user's errors in form; and then generating, by the computer, corrective feedback for the user on how to improve exercise form for subsequent repetitions; and communicating, via an output device, the corrective feedback to the user.

A system is provided.SOLUTION: A system comprising: input means for inputting a training goal of a user and a type of sport; generating means for receiving information from the input means and generating a training plan; capturing and uploading means for capturing a training moving image by the user and uploading the training moving image; analyzing means for analyzing the uploaded training moving image and specifying a motion error and a correction point; and feedback providing means for providing the specified correction point and a specific improvement method to the user.SELECTED DRAWING: Figure 1

The application relates to the field of health equipment management, in particular to a health management equipment data analysis system and method based on the Internet of Things, which comprises a motion detection module, a cluster association module, a state recognition module, a heat monitoring module and an intelligent scheduling module; the motion detection module is used for detecting a motion state, collecting resting data and motion data; the cluster association module is used for generating a motion cluster; the state recognition module is used for judging a current motion type of a user; the heat monitoring module is used for estimating real-time heat consumption; and the intelligent scheduling module is used for detecting a recovery state of the user and matching an appropriate motion cluster. The application can perform personalized analysis on health data of a user, reasonably arrange a daily exercise plan, guarantee a physical state of the user, achieve better exercise effect, help the user record and analyze health data, improve detection accuracy of the health data and improve health management efficiency.

Proposed is an exercise support device operating with a weight training equipment. The exercise support device can extract an exercise object exercising on the weight training equipment connected presently to the exercise support device from a video captured by a camera module by analyzing the skeleton data of candidate objects. Through this, when the multiple candidate objects are detected in an exercise video, a user exercising on the weight training equipment which presently operates with the exercise support device can be accurately specified by using an exercise type and the skeleton data of the candidate objects.

The invention relates to the technical field of terminals, in particular to an exercise guidance method, terminal equipment and a readable storage medium. According to the method, before a user starts to exercise based on a target exercise type, terminal equipment can obtain historical exercise scores of the user corresponding to the target exercise type according to historical exercise data of the user corresponding to the target exercise type in a historical period, and the historical exercise scores of the user corresponding to the target exercise type are obtained according to the historical exercise data. The target promotion rate corresponding to the sports performance can be determined through the user portrait data (such as the continuous sports duration of the user corresponding to the target sports type and the like). And calculating a target exercise score corresponding to the target exercise type through the target improvement rate and historical exercise scores (such as historical optimal scores, historical average scores and the like). Therefore, before the user selects the target exercise type and starts to exercise each time, the scientific target exercise score suitable for the user to break through can be determined according to the historical exercise data of the target exercise type corresponding to the user and the user portrait data.

The invention relates to the technical field of crossing of machine vision and motion guidance, in particular to a motion action standard guidance method based on computer vision, which comprises the following steps of: firstly, acquiring an image frame sequence with a timestamp, and extracting actual physical coordinates of key points related to force application; the method comprises the following steps: firstly, generating a force, then quantifying the force through'speed-acceleration deduction '(dynamic motion) or'displacement variance + attitude deviation calculation' (static motion) according to motion types, and finally, generating guidance suggestions in combination with a standard force interval, so that accurate quantification and targeted guidance of the force are realized, and force evaluation requirements of different motion types are met.

A wall device is provided. The wall device may include: an acquisition unit for acquiring a type of exercise selected by a user; a display unit for displaying guide information matching the type of exercise; a providing unit for providing driving information matching the type of exercise to a motion wall; and a control unit for analyzing motion information acquired from the motion wall and analyzing the user's exercise results based on the analysis results.