19 results about "Exercise program" patented technology

A user healthcare method and system according to the present invention may comprise the steps of: receiving, from a user terminal logged in with a user account, a selection of at least one musculoskeletal part, for which exercise is to be performed by the user, from among a plurality of musculoskeletal parts; in response to the selection of the musculoskeletal part, providing, to the user terminal, a plurality of pieces of survey data for diagnosing the health condition of the user; receiving, through the user terminal, response data for the plurality of pieces of survey data; generating an exercise program for the selected musculoskeletal healthcare on the basis of the response data; and allocating the exercise program to the user account.

This invention relates to the field of physical and mental health monitoring technology, specifically to methods for assessing physical and mental health, methods for recommending exercise, and systems for supporting physical and mental growth. When assessing an individual's physical and mental health, this invention considers not only psychological health levels and physical indicators but also the individual's physical activity status. Since physical activity status is objective data, and existing research has shown a close correlation between physical activity and physical and mental health, this invention uses quantifiable and health-related objective data on physical activity status to assess physical and mental health, thereby improving the accuracy of the assessment results. Furthermore, this invention recommends exercise programs based on the assessment results of physical and mental health, ensuring that the recommended exercises can improve the individual's physical and mental health.

Provide a system. 【Solution means】An acquisition means for acquiring exercise data, An acquisition means for acquiring exercise data, A body shape analysis means for photographing and analyzing body shape data, A nutrition analysis means for analyzing diet data and determining the calorie and nutrient balance, A proposal generation means for generating a personalized exercise program and diet proposal based on these data, A notification means for notifying the user of the generated exercise program and diet proposal, An audio output means for providing health-related information via audio output, Means for providing a consumer health management robot for acquiring and analyzing data in a residential environment, A system including.

An indication is received from a user to rack or unrack a digital weight. A motor is signaled to apply or remove tension to a cable coupled to the motor based at least in part on the indication. The actuator is connected to the cable and is physically arranged to deliver a force to the user. The motor selectively tensions a cable in accordance with an exercise program.

We provide the system. [Solution] A detection device for measuring biological data and a communication means for communicating with it, Information processing means for processing biometric data received from the aforementioned communication terminal and evaluating the efficiency of exercise execution, Based on the aforementioned evaluation, a plan generation means for constructing an exercise plan suitable for the exerciser, A display means and an audio output means for communicating the exercise plan to the exerciser and providing dynamic feedback during the execution of the exercise, A mobile assistive device to support exercise for people within the home, A system that includes this.

A wearable device and electronic device that provide a walking ability evaluation mode and / or an operating method thereof are provided. The operating method of the electronic device may include receiving a user input for a walking ability evaluation, transmitting a control signal to activate the walking ability evaluation mode to a wearable device in response to the receiving of the user input, receiving sensor data comprising motion information on a motion of the wearable device corresponding to a body motion of the user from the wearable device in response to the transmitting of the control signal, determining evaluation data on walking posture of the user based on the received sensor data, and performing at least one operation of determining a recommended exercise program and outputting guide content based on the determined evaluation data on the walking posture.

A non-transitory computer-readable medium may contain instructions which, when executed by a processor, cause the processor to receive a user profile of a first user of an exercise device, receive user profiles of a plurality of users, assign weights to the user profiles of the plurality of users, and, using the assigned weights, rank the plurality of users based on similarity to the first user. The instructions may further cause the processor to select a subset of the ranked plurality of users, determine performance metrics of the ranked plurality of users for a workout program, determine performance metrics of the first user during execution of the workout program and cause to be displayed, on a display of the exercise device, during execution of the workout program, a comparison of the performance metrics of the first user and the performance metrics of the selected subset of the ranked plurality of users.

A computing system and method for integrated fitness tracking and holistic health management is disclosed. The system comprises subsystems for customizable user experience, holistic health management, AI-driven personalization, integrated marketing capabilities, wearable device integration, sustainable lifestyle promotion, marketing and community engagement, e-commerce, beacon technology, personalized meal suggestions, smart fabrics, AI model interoperability, contact and data sharing, and AI voice interaction with real-time feedback. The system utilizes user inputs, biometric data, wearable device data, and artificial intelligence to provide personalized workout plans, nutritional guidance, and targeted marketing. The system also promotes sustainable practices, facilitates community engagement, and leverages beacon technology to enhance user experience in retail locations. This comprehensive approach optimizes user health, fitness, and overall well-being while offering a personalized and engaging experience.

The present invention relates to a platform for the integrated management of a child's mental health and physical development through AI-based analysis, and provides an integrated solution capable of collecting, analyzing, and managing physical and mental health data of a child. This invention receives user information via RFID tags, smart bands, and sensors, and evaluates a child's stress, anxiety, and physical condition by analyzing physical and emotional data in real time. The analyzed data generates customized management content (e.g., exercise programs, psychological stability activities) through an AI-based algorithm and provides it in the form of games and feedback. Furthermore, it supports stakeholders, such as parents and teachers, in viewing data and planning improvement measures through an app or web interface. The present invention has the effect of enabling health promotion and early game by comprehensively monitoring and managing the health status of children.

This invention discloses a method and apparatus for generating post-PCI rehabilitation exercise programs based on machine learning, relating to the field of medical data processing. The method includes: collecting basic information of the rehabilitation subject; initializing safety constraints and prior anaerobic threshold test data for the rehabilitation exercise; collecting exercise state data, including the subject's subjective complaints and objective monitoring data, while the subject is executing the real-time rehabilitation exercise program; extracting multi-dimensional state features, including basic physiological characteristics and key feature reductions, from the exercise state data, where key feature reductions characterize the decline in physiological characteristics; and iteratively optimizing the real-time rehabilitation exercise program using an optimization algorithm, combining a machine learning-based exercise intensity evaluation model, prior anaerobic threshold test data, and multi-dimensional state features, to obtain a recommended exercise program. This solves the problems of traditional rehabilitation programs relying on human experience, delayed adjustments, and difficulty in precise quantification.

Provide a system. 【Solution means】 Means for receiving image data, Means for extracting target skeletal features from the received image data, Means for comparing the extracted skeletal features with data of past successful athletes, Means for determining a sports event suitable for the target based on the comparison result, Means for outputting the determination result, Means for proposing an appropriate exercise program based on the output determination result, Voice output means for guiding the proposed exercise program, A system including the above.

A method for recommending a user-customized exercise program according to the present invention may comprise: a first step of providing a first exercise video for a first body area among a plurality of body areas of a user, and extracting a first exercise state evaluation score for each of one or more first detailed body areas included in the first body area on the basis of a joint position and muscle movement of the first body area of the user; a second step of determining a first detailed body area for which second exercise state evaluation information needs to be extracted from at least one of the first detailed body areas on the basis of the first exercise state evaluation score; a third step of recommending a second exercise video corresponding to the first detailed body area for which the second exercise state evaluation information needs to be extracted; and a fourth step of providing the recommended second exercise video and calculating a second exercise state evaluation score on the basis of the joint position and muscle movement of the first detailed body area of the user.

The present application relates to the field of sports information technology, in particular to a kind of sports teaching intelligent sports testing system.The system: data acquisition module real-time acquisition student's movement image, depth information and identity radio frequency signal;Edge computing module receives real-time data, uses human body posture estimation technology to extract skeletal key points, and combines finite state machine model to determine the standard degree and automatically count the actions such as chin-ups, sit-ups and the like;Precise measurement of standing long jump is realized using binocular vision or depth ranging algorithm;Identity verification and anti-cheating monitoring are carried out in the test by monitoring module;Cloud management module receives the data transmitted by edge computing module through data transmission module for statistical analysis, and generates personalized exercise program according to the analysis result.The present application effectively prevents cheating and irregular behavior through biometric detection, trajectory tracking and behavior analysis technology, and solves the problems of low efficiency, large subjective error of manual judge and difficult to prevent cheating in traditional sports testing.

We provide the system. [Solution] A device for measuring the user's biometric data, A device that receives information transmitted from a device, A server equipped with a computing device that analyzes received information and generates a motion plan, A means of displaying the generated exercise plan to the user, A means of sending user feedback to a server for analysis, Means of providing individualized exercise guidance to residents in an urban environment, A system that includes this.

A fitness guidance system provides AI-powered conversational fitness assistance through an intuitive multi-step assessment wizard interface that progressively collects user preferences across eight sequential screens. The system generates personalized meal and workout plans using natural language processing and smart device integration. A dual-mode planning interface enables AI-powered automatic generation or manual plan creation with computational resource management through quota systems. An integrated dashboard displays real-time calorie flow from connected devices and scheduled activities. A marketplace platform connects credentialed fitness professionals with users, enabling professionals to create, publish, and monetize standardized programming packages with automated validation, tiered pricing models, and analytics-driven refinement capabilities.

We provide the system. [Solution] A calculation means for automatically generating an individualized exercise plan based on user input information, A display means that visually provides exercise guidance using holograms based on the generated exercise plan, A detection means that detects the user's body movements and analyzes the progress of the exercise in real time, An output means that provides real-time corrections to the user's exercise form based on the analysis results, A data processing means for learning the user's exercise history and optimizing the next exercise plan, A system that includes this.

A method is disclosed for using an artificial intelligence engine to onboard a user for an exercise plan. The method includes generating a machine learning model trained to receive as input onboarding data associated with a user and an onboarding protocol and, based on the onboarding data and the onboarding protocol, output an exercise plan. While a user performs an exercise using the exercise device, the method includes receiving the onboarding data associated with the user. The method includes determining, by the machine learning model using the onboarding data and the onboarding protocol, a fitness level of the user. The onboarding protocol includes exercises with tiered difficulty levels, the onboarding protocol increases a difficulty level for a subsequent exercise when an exercise is completed, and based on a completion state of a last exercise performed, the fitness level is determined. The method includes selecting a difficulty level for each exercise.

This invention relates to the field of physical and mental health monitoring technology, specifically to a method and system for recommending exercise based on physical and mental health assessment. When assessing an individual's physical and mental health, this invention considers not only psychological health level and physical indicators, but also the individual's physical activity status. Since physical activity status is objective data, and existing research has shown a close correlation between physical activity and physical and mental health, this invention uses quantifiable and health-related objective data—physical activity status—to assess physical and mental health, thereby improving the accuracy of the assessment results. Furthermore, this invention recommends exercise programs based on the assessment results of physical and mental health, ensuring that the recommended exercises can improve the individual's physical and mental health.

An exercise recommendation system determines workout plans for users. The exercise recommendation system trains a machine-learned model configured to rank a set of exercises, and the ranking of exercises can be modified based on feedback from a user, for instance requesting that an exercise be recommended more frequently, less frequently, or never. The exercise recommendation system can also implement a machine-learned model configured to predict a measure of strength for the user, and can, in response to determining that the measure of strength of the user has decreased or plateaued over time, modify a workout for a user based on a muscle or muscle group associated with the measure of strength. Likewise, the exercise recommendation system can modify a workout in response to a predicted measure of strength being less than an actual measure of strength, for instance to include exercises targeting muscles associated with the measure of strength.