104 results about "Exercise program" patented technology

The invention discloses a rehabilitation exercise system and method based on intelligent interaction, and relates to the technical field of medical rehabilitation, intelligent management of basic information, medical history information, treatment information and medication information of patients is realized through a patient information management module; personalized exercise plans and real-time action guidance are provided for the patient through the rehabilitation exercise module; dynamically evaluating the rehabilitation state of the patient through a rehabilitation evaluation module; a friend communication platform is established through the community interaction module, and science popularization education is provided; and real-time monitoring and early warning of the doctor on the rehabilitation process of the patient are realized through the doctor supervision module. The artificial intelligence technology is adopted, the rehabilitation actions of the patient are monitored and corrected in real time through the camera, the rehabilitation state of the patient is evaluated through the electronic scale and the intelligent scoring system, the exercise plan is dynamically adjusted according to the rehabilitation condition of the patient, the rehabilitation exercise accuracy and the patient compliance are effectively improved, and the rehabilitation effect of the patient is improved. And the intelligent and electronic management of the whole rehabilitation exercise process can be realized.

An exercise recommendation system determines workout plans for users. The exercise recommendation system receives a profile of a user and a level of variance selected by the user. The profile includes a history of exercises the user has performed, available gym equipment, and exercise goals. The exercise recommendation system inputs the profile to a machine learning model configured to rank a set of exercises for a user to perform. The exercise recommendation system modifies the ranking of exercises based on the level of variance selected by the user. Modification of the ranking is greater for a first level of variance than for a second level of variance less than the first level of variance. The exercise recommendation system generates a workout plan for display within a user interface to the user based on the modified ranking.

The invention is an AI-powered fitness and health management system providing personalized, dynamic recommendations tailored to user-specific goals such as weight loss, muscle gain, and diabetes management. Leveraging Artificial Neural Networks (ANN), Decision Tree algorithms (J48), and Convolutional Neural Networks (CNN), the system analyzes user inputs, including voice commands, wearable device data, blood glucose readings, and food scans, to deliver real-time, adaptive meal and workout plans. Voice activation, initiated with the command “Run Fitzy”, enables hands-free logging of meals, workouts, and health metrics. Computer vision technology scans food labels and meal images, extracting nutritional data and automatically integrating it into the user's profile. The system dynamically adjusts remaining daily meals and activities to meet caloric, fitness, and glucose targets. Social networking features include geo-tagging, fitness challenges, and monetizable content sharing. Built on a secure, scalable cloud infrastructure, the platform integrates e-commerce functionality and ensures compliance with data protection standards.

A third-party media exercise control system may receive third-party media, the third-party media unrelated to the exercise program. A third-party media exercise control system may while streaming and displaying the third-party media on a display of an exercise device, generating exercise controls for the third-party media, the exercise controls based on content in the third-party media. A third-party media exercise control system may adjust at least one operating parameter of the exercise device based on the exercise controls.

A system is disclosed that monitors participants in health-related programs, such as weight loss or exercise programs, and that provides automated, personalized health coaching to the program participants. The system includes breath analysis devices that are used by the program participants to generate ketone measurements, and includes a mobile application that runs on mobile devices of the participants and communicates with corresponding breath analysis devices. The system operates generally by monitoring ketone levels (such as acetone levels) and other attributes of the participants and by making personalized, machine-generated changes or updates to such programs to maintain program effectiveness and engagement. In some embodiments the system uses artificial intelligence to classify and coach the participants.

The utility model relates to an angle adjusting device, which belongs to the technical field of fitness equipment and comprises a sleeve, a rotating shaft and a handle. The sleeve is connected with the rotating shaft in a sleeved mode, a clamping groove is formed in an inner ring of the top end of the sleeve, the handle is connected with the rotating shaft, a check block is connected to the end of the handle, and the handle can drive the rotating shaft to rotate and drive the check block to be clamped in the clamping groove. Through mutual cooperation of the handle, the sleeve and the rotating shaft, 360-degree rotation of the handle can be achieved, the stepless adjustment effect is achieved, a user can be allowed to adjust the angle of the handle according to own requirements and habits through stepless adjustment, specific muscle groups can be better exercised by properly adjusting the angle of the handle, and the user experience is improved. Therefore, an exercise plan conforming to individual requirements is formulated; the whole device is simple in structure and convenient to operate, stepless adjustment of the angle can be easily achieved only when the device is applied to fitness equipment, and the use requirements of customers are met.

Systems and methods for creating personalized exercise programs are disclosed. An image capture device and a computer device are used to capture images of a user while the user performs athletic movements. The images may then be evaluated to create a human movement screen score. The human movement screen score, goal and time commitment information may then be used to create a personalized exercise program tailored to the specific user.

This operating method of an electronic device for providing a personalized exercise coaching function may comprise the steps of: receiving, from a wearable device worn on a user's body, sensor data measured by one or more sensors of the wearable device; during the execution of an exercise program using the wearable device, determining exercise coaching content on the basis of exercise program information of the exercise program and the sensor data; and controlling the determined exercise coaching content to be output. The step of controlling the exercise coaching content to be output may comprise the steps of: determining, on the basis of the received sensor data, the user's performance level for a first exercise goal indicator specified in the exercise program information; controlling, on the basis of the user's performance level for the first exercise goal indicator, first exercise coaching content for the first exercise goal indicator to be output; on the basis of a determination that the user's performance level satisfies a target condition set for the first exercise goal indicator, determining the user's performance level for a second exercise goal indicator having a lower priority than the first exercise goal indicator; and controlling, on the basis of the user's performance level for the second exercise goal indicator, second exercise coaching content for the second exercise goal indicator to be output.

A device may receive user input for a customized workout, the user input including at least one exercise parameter. A device may generate, based on the at least one exercise parameter, a plurality of exercise device controls, the plurality of exercise device controls configured to adjust at least one exercise parameter of an exercise device. A device may generate an exercise program to be implemented on the exercise device, the exercise program including the plurality of exercise device controls.

A system for providing guided and monitored exercise routines wherein physiological data measurements are used to determine an optimized exercise program for a participant. The exercises are displayed on a smart device in such a way to maximize the benefits given the participant's current physiological state. Improvements including wellness monitoring and safety monitoring steps are also disclosed. In particular, measurements of total and individual lung performance and heart performance are used to select exercises and monitor health.

A multi-functional exercise device is disclosed for performing exercise programs using a single exercise device. The device can be easily reoriented to the desired direction for exercise via selectively extendable casters and wheels. The multi-functional exercise device may be equipped with storage locations to hold weights and other accessories together, providing the necessary weights and accessories for performing full-body exercise programs. An articulated frame assembly allows the padding assembly to be raised to either a partially tilted configuration or a fully tilted configuration. In the partially tilted configuration, a seated exercise device is provided. In the fully tilted configuration, the entire padding surface of the device can be tilted to the desired vertical orientation for performing other exercises using the device.

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.

An exercise program recommendation system may apply a vector search model to a plurality of exercise program videos, the vector search model identifying vector features within the plurality of exercise program videos. An exercise program recommendation system may receive a search query for an exercise program, the search query including an exercise program feature. An exercise program recommendation system may be based on the exercise program feature, applying a machine learning (ML) personalization model to the plurality of exercise program videos. An exercise program recommendation system may provide a user with an exercise program recommendation from the plurality of exercise program videos.

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.

A fitness tracking system can include at least one processor and non-transitory memory storing instructions which, when executed by the at least one processor, cause the at least one processor to perform operations including receiving, from one or more wearable devices having sensors for detecting motion of a user, first data characterizing raw motion of a user during an exercise activity, determining, using a first artificial intelligence (AI) model, based on the first data, a readiness metric associated with the exercise activity, determining, using a second AI model, based on the readiness metric, an exercise plan for the user, and providing second data characterizing the exercise plan.

The present invention relates to a method and system for generating a customized therapeutic exercise program, which can customize an exercise program for therapeutic purposes and provide it to a patient. The method for generating a customized therapeutic exercise program according to the present invention may include the steps of: executing an exercise program generation mode on a terminal logged in with a specific medical staff account; selecting at least one exercise item to be included in the exercise program in the exercise program generation mode; setting program information corresponding to the exercise program; generating the exercise program including the exercise item and the program information; storing the exercise program in association with the specific medical staff account; and allocating the exercise program to the patient account based on receiving prescription information for the patient account from the specific medical staff account.

An exercise assistance method for assisting a user in exercising based on a gradient of a ground surface, and a wearable device and an electronic device for performing the exercise assistance method are disclosed. The exercise assistance method may include the operations of: determining a ground slope in a direction in which a wearable device worn by a user moves based on sensor data; determining whether the ground in a direction in which the wearable device moves is a downhill or uphill based on the ground gradient; when the ground surface is determined to be downhill or uphill, determining a target exercise speed for implementing a target exercise amount of an exercise program running in the wearable device based on the ground surface gradient; and adjusting at least one of a current target exercise speed set in the exercise program and a current exercise intensity set in the exercise program based on the determined target exercise speed.

To provide a system capable of providing health management and an exercise plan optimum for an individual user.SOLUTION: The system includes a body weight / body fat acquisition part, a metabolism calculation part, a calorie / exercise amount calculation part, a voice advice part, a meal management part, an exercise management part, a timer part, a data storage part, and a statistical data creation part. The body weight / body fat acquisition unit acquires body weight and body fat. The metabolism calculation unit calculates basal metabolism and active metabolism. The calorie / exercise amount calculation unit calculates a required calorie intake and a required exercise amount. The audio advice unit provides audio advice. The meal management unit manages meal contents. The exercise manager may manage an exercise menu. The timer unit manages a rest time. The data storage unit stores data. The statistical data creation unit creates statistical data.SELECTED DRAWING: Figure 1

An exercise program recommendation method according to an embodiment may comprise the operations of: activating a physical fitness measurement program of a first wearable device; obtaining first angle log data of a joint measured by a first sensor of the first wearable device, the first angle log data corresponding to at least a part of a period during which a first session of the physical fitness measurement program is performed; calculating a first index for muscular strength and muscular endurance of a user on the basis of the first angle log data; and determining a target exercise program for a user from among a plurality of exercise programs on the basis of the first index, and outputting information on the target exercise program.

To provide a rehabilitation program for an orthopedic patient in a telemedicine system using a smart device.SOLUTION: To calculate a rehabilitation index for quantitatively evaluating the recovery state of a patient by a numerical scale on the basis of a recovery evaluation score calculated on the basis of a questionnaire using a health-related QOL evaluation scale. A rehabilitation program of a grade suitable for the patient is selected on the basis of the calculated rehabilitation index, exercise biological information of the patient who has executed an exercise program of the rehabilitation program of the selected grade is measured and collected by the wearable sensor device, and it is determined whether the measured and collected data satisfies an exercise target value set in the rehabilitation program of the grade, whereby the grade of the selected rehabilitation program is updated to a program of a grade in which a load more suitable for the patient is applied.SELECTED DRAWING: Figure 1

The present invention relates to a cable puller and an exercise device thereof, wherein that cable puller is used for being mounted onto a frame to be connected with a steel cable and comprises a pulley block, an attachment sleeve, a positioning disc, an arm seat, an arm and a pulley seat; the cable puller has a plurality of degree-of-freedom and is used for executing a plurality of exercise programs on a single machine to enhance the strength of the core body, and users can exercise at any angle according to their own needs.

Provided is an information processing device with which it is possible to generate a plan of exercise activity with improved level of preference. The information processing device assists in exercise activity by an exerciser and includes: an exercise activity information acquisition unit for acquiring information on exercise activity; a delivery request information acquisition unit for acquiring information on a delivery request including a delivery route of an article from a delivery requester of the article; and a generation unit for generating a plan of the exercise activity passing through the delivery route of the article on the basis of the information on the exercise activity and the delivery request.

An exercise program recommendation system may apply a vector search model to a plurality of exercise program videos, the vector search model identifying vector features within the plurality of exercise program videos. An exercise program recommendation system may receive a search query for an exercise program, the search query including an exercise program feature. An exercise program recommendation system may be based on the exercise program feature, applying a machine learning (ML) personalization model to the plurality of exercise program videos. An exercise program recommendation system may provide a user with an exercise program recommendation from the plurality of exercise program videos.

The system according to the embodiment aims to allow elderly people to create exercise plans using voice input and to link with other health management apps. [Solution] A system according to an embodiment includes a reception unit, a collection unit, a planning unit, a linking unit, and a providing unit. The reception unit receives voice input. The collection unit collects weather information. The planning unit creates an exercise plan based on the voice input received by the reception unit and the information collected by the collection unit. The linking unit links exercise results with other health management apps based on the exercise plan created by the planning unit. The providing unit provides advice based on the exercise results linked by the linking unit.

An electronic device is provided. The electronic device analyzes music so as to extract the sound intensity and the rhythm pattern from the music, generates, on the basis of the extracted sound intensity and the extracted rhythm pattern, guide data for an exercise program corresponding to the music, and can determine the exercise content of the exercise program on the basis of the generated guide data and movement information received from a wearable device connected to the electronic device.

An adjustable physical therapy and exercise kit includes a bar, a holding structure, and a plurality of weights. A user can move the bar in an oscillating manner to cause the bar to flex and move back and forth to exercise parts of the body of a user. The plurality of weights is designed to be detachably connected to the bar at the first end portion and the second end portion. The weights are attachable and detachable to permit a therapist or a user to vary the total weight in accordance with a physical therapy or exercise program suitable for the user's strength, health, age, and / or physical therapy or exercise needs.

Disclosed are an electronic device and a wearable device having a wearing state detection function, and operating methods thereof. The operating method of the wearable device may comprise the steps of: acquiring sensor data from a sensor; determining, on the basis of the sensor data, an angular velocity of a user's first leg and an angular velocity of the user's second leg; determining whether a first condition based on the angular velocity of the first leg and the angular velocity of the second leg is satisfied; determining, on the basis of the sensor data, an angle of the user's first leg and an angle of the user's second leg; determining whether a second condition based on the angle of the first leg and the angle of the second leg is satisfied; when the first condition and the second condition are determined to be satisfied, generating a trigger signal for guiding an electronic device to change the state of an exercise program; and transmitting the generated trigger signal to the electronic device.

The invention relates to the technical field of medical data analysis, in particular to a PCI (Peripheral Component Interconnect) postoperative personalized exercise rehabilitation scheme dynamic generation system which comprises a user data acquisition module, an exercise scheme generation module, an exercise scheme pushing module and an exercise feedback module, according to the method, three types of heterogeneous data including occupational types, operation reports and risk assessment levels are synchronously collected, post physical ability requirements and PCI postoperative taboo of four types of occupational crowds are accurately matched, and the personalized matching precision is improved by 40% or above; by integrating five-level closed-loop control logic of compliance adjustment, heart rate updating, state optimization, common triggering correction and delay reconstruction, adopting a priority arbitration strategy and setting a 25% delay fusing threshold value, the incidence rate of insufficient rehabilitation and overtraining risk events is reduced by 65%, dynamic balance of adaptive adjustment and medical safety is achieved, and the recovery rate is improved. And the operation efficiency and the clinical safety of the system are obviously improved.

An exercising device with fistula maturation management and assessment abilities and a method of fistula maturation management and assessment is described. The device is a tool for remote monitoring of compliance of exercise routines prescribed to Chronic Kidney Disease (CKD) patients for proximal fistula maturation. The device measures and syncs exercise data captured via a motion-sensing sensors (eg: a MEMS / NEMS micro-electro-mechanical systems or nano-electro-mechanical systems or other techniques - based accelerometer, gyroscope, magnetometer, inertial measurement unit etc.) and via computational device (eg: mobile phone, tablet, or an onboard device) to a cloud platform (eg: cloud platform, such as Amazon web service [AWS], Google cloud etc.) from which the Nephrologist can retrieve patient data and check for compliance.

A method for prescribing customized grip strength recovery exercise on the basis of an IOT-based digital dynamometer, according to an embodiment of the present invention, is a method in which a healthcare application executed by at least one processor of a terminal provides a customized exercise prescription service, and comprises the steps of: performing an initial setting by obtaining a basic grip strength at a time point before surgery; obtaining a first grip strength at a first time point after the surgery; generating a first exercise program on the basis of the basic grip strength and the first grip strength; obtaining a first exercise dataset for the first exercise program at a second time point that is a predetermined time point after starting to perform the first exercise program; generating exercise result content for the obtained first exercise dataset; and generating a second exercise program in which the composition of the first exercise program is changed on the basis of the obtained first exercise dataset.