5967results about "Gymnastic exercising" patented technology

The present disclosure generally relates to navigating, viewing, and sharing activity and workout data and interacting with workout and / or activity applications. In some examples, scrolling of activity data is based on the content being displayed. In some examples, friends' activity data may be viewed. In some examples, a notification and workout data for a friend's completed workout is received and displayed. In some example, the activity data received from friends is viewed and managed. In some examples, workout data for a multi-segment workout is displayed in a three-dimensional stack on a map. In some examples, a workout application operates in a limited mode until a touch input is received with a characteristic intensity that is greater than a threshold intensity.

The invention discloses a hip and knee joint replacement postoperative rehabilitation method and system based on mobile medical treatment, relates to the technical field of medical rehabilitation, and discloses the hip and knee joint replacement postoperative rehabilitation method and system based on mobile medical treatment. The training plan is dynamically adjusted in combination with multi-dimensional indexes, the problems of compensation recognition deficiency, feedback lag and plan stiffness in a traditional rehabilitation scheme are effectively solved, the rehabilitation effect can be improved, and the injury risk of adjacent joints can be reduced.

The invention discloses a teenager physical exercise real-time monitoring system, and relates to the technical field of intelligent monitoring. An individualized health assessment model is constructed through space-time alignment processing of joint three-dimensional movement, electromyographic signals and plantar pressure and a bone age dynamic matching technology. Time sequence deviation is eliminated through unified clock marking and interpolation compensation, parameters such as bone stress deviation degree, muscle synergy asymmetry degree and plantar pressure unbalance degree are extracted, and comprehensive health indexes are generated through weighting. And in combination with a preset training path model, analyzing a health index trend in real time and triggering a grading adjustment instruction, dynamically optimizing training intensity, interval and action schemes, and correcting path model parameters through a closed-loop feedback mechanism to realize adaptive updating. The defects that traditional teenager physique monitoring data fusion is large in deviation and static evaluation hysteresis is high are overcome, real-time accurate monitoring and personalized training optimization of teenager physique exercise are achieved, and the sport injury risk is effectively reduced.

Embodiments described herein relate to systems and methods for an individualized intervention to generate and provide wellness pattern aware interventions. The system generates digital instructions and output for an online web application, device hosted application, smart device, or similar system. In one embodiment, the system provides the individualized intervention that matches device capacity, user context, and the best intervention type for a multi feel state longitudinal journey over a multi-day duration.

A system for predicting a resting position of a golf ball may use ball tracking sensor data to identify an impact location of the ball. Modeling of ball movement following impact may be performed that incorporates measured ball impact physics, impact coordinates, and material properties of ground or objects to which the impact coordinates correspond and, together with historical shot data corresponding to the impact coordinates or an encompassing zone, bounce and roll behavior and / or final resting position predictions may be generated.

The invention discloses a thoracic surgery patient rehabilitation guidance system and method, particularly relates to the field of medical rehabilitation guidance, and solves the problem of insufficient evaluation precision caused by motion interference suppression in a family environment. Evaluation precision is improved through multi-modal data fusion and a causal reasoning technology. Inertial sensor data is synchronously calibrated based on a physical switch time sequence, and anti-interference frequency band energy characteristics are extracted to suppress environmental noise; constructing a twinning network to quantify joint track difference in the enabled / disabled state of the instrument, and revealing a motion mode reconstruction rule; driving a causal forest model by taking the use frequency of an instrument as a tool variable, analyzing causal association between a sensor channel and a rehabilitation effect, fusing a respiratory resistance dynamic spectrum and a joint space-time cooperation index, and screening out hybrid factors through confrontation pre-training; time domain feature clusters are dynamically divided based on the breathing phase, cross-scale fusion is implemented in combination with a frequency band energy attention mechanism, and an evaluation index with time sequence sensitivity and pathological interpretation is generated.

The invention relates to the technical field of artificial intelligence, and discloses an artificial intelligence-based motion analysis system which comprises a multi-source data acquisition module, a space-time preprocessing module, a feature fusion module, a motion mode recognition module, an anomaly detection module and a feedback generation module. The multi-source data acquisition module synchronously acquires data at a multi-band sampling rate by means of an inertial measurement unit, an optical sensor and a depth camera array, generates an original motion data set and stores the original motion data set to the distributed edge nodes; the space-time preprocessing module uses a multi-scale dynamic time warping algorithm and adaptive Kalman filtering to calibrate noise reduction; the feature fusion module extracts and fuses key spatio-temporal features; the motion mode recognition module and the anomaly detection module accurately judge a motion mode according to the fused feature tensor and position anomaly; the feedback generation module generates a personalized executable instruction set according to the results, and provides powerful support for the athletes to dig potential and break through bottlenecks.

The invention discloses an Alzheimer's disease long-term prediction and dynamic intervention method based on deep learning. Accurate dynamic intervention from group statistics to individual dynamics is realized through time sequence alignment, multi-scale time sequence feature extraction, dynamic risk assessment and personalized intervention. Through time sequence alignment and multi-scale time sequence feature extraction, a time-sensitive personalized intervention scheme can be generated. And carrying out continuous time modeling by adopting a cubic Hermite interpolation method and a neural control differential equation, and predicting the long-term risk. By establishing a double-track interaction model, a pathological track and a functional track of a user are analyzed, so that time-varying association among multi-modal data can be dynamically captured. A personalized intervention strategy is provided through reinforcement learning, the intervention strategy is dynamically adjusted in combination with risk reduction amplitude, intervention measure compliance and physiological index change, the effect of short-term behavior change and long-term prediction is balanced, and the Alzheimer's disease is further promoted to be converted from passive treatment to active intervention.

The invention discloses a respiratory training device based on multi-modal data fusion. The device comprises a multi-modal sensor, a data processing server and an interaction module, the multi-modal sensor is used for collecting multi-modal data of a user in real time; the data processing server extracts feature data of the user according to the multi-modal data; constructing a physiological feature sub-graph by taking each physiological feature as a node, constructing an emotional feature sub-graph by taking the emotional feature as a node, constructing a physiological genetic map of the user, and inputting the physiological genetic map into a physiological state analysis model to obtain a physiological state of the user; generating a respiratory training scheme according to the physiological state, wherein the respiratory training scheme comprises a multi-sensory training guide step, target key feature data and training intensity; or adjusting the current breathing training scheme based on the difference value between the extracted key feature data and the target key feature data and the training intensity; the interaction module is used for displaying the breathing training scheme. According to the invention, accurate and effective respiration monitoring can be provided for the user.

A system for providing an extended reality environment that incorporates real-world event data into 3D models representative of the real-world event within the extended reality environment includes an XR processing unit configured to dynamically download 3D hole models of the course, receive real-world live shot data of shots taken on the holes during a golf tournament; map the shot data to the 3D hole models; and cause a spatial computing device to render hole views and immersive views comprising the mapped shot data rendered directly on the 3D hole models in real-time in an interactive extended reality environment. The mapped shot data includes shot trails representative of the shots taken on the golf course, The hole views and immersive views may utilize the same source file.

The present disclosure generally relates to user interfaces for navigating and providing physical activity information.

Systems and methods for player modeling using captured multimedia data. A system can include one or more processors to receive, via an interface, digital content including at least one captured media segment corresponding with at least one player. The one or more processors can apply the digital content as input to at least one artificial intelligence (AI) model to generate a player profile including a sport-specific textual representation of the player corresponding to a plurality of performance parameters, and the AI model can be configured based at least on sport vernacular and historical labeled digital content of a sport of the player. The one or more processors can generate a structured data package including the player profile based on organizing at least a portion of the sport-specific textual representation and provide the structured data package to a digital application or a scouting computing system.

The invention discloses a motion data management method and system based on AI body measurement, and relates to the technical field of artificial intelligence and machine learning, and the method comprises the steps: collecting motion data of each user, and carrying out the preprocessing; dividing user intervals by using a K-means clustering algorithm, constructing a load prediction model by using a fuzzy BP neural network, and obtaining a final load prediction value by using an improved adaptive genetic algorithm; and constructing a regression model by using a QHD reinforcement learning algorithm, dynamically adjusting a discount factor, outputting a training load adjustment strategy, and adjusting the discount factor according to feedback. User training load intervals are accurately divided through a K-means clustering algorithm, distribution of personalized training loads is ensured, the load prediction precision is improved by using a fuzzy BP neural network and an IAGABP algorithm, the weight and bias of the network are optimized, a local optimal solution is avoided, the prediction accuracy is improved, a QHD reinforcement learning algorithm and a dynamic discount factor are combined, and the prediction accuracy is improved. And a strategy of dynamically adjusting the training load is realized.

The invention relates to the technical field of physical training intellectualization and man-machine interaction, in particular to an interactive physical education method and system based on augmented reality driving, and the method comprises the following steps: S1, collecting three-dimensional motion track data and muscle activation time sequence data; s2, generating kinematic deviation parameters and physiological deviation parameters; s3, generating an AR correction instruction set containing a joint pose correction vector and a muscle activation intensity adjustment suggestion based on the kinematics deviation parameter and the physiology deviation parameter; s4, projecting the AR correction instruction set to the field of view of the trainee in real time through AR display equipment; and S5, generating a physical education efficiency report containing the action precision improvement index and the neuromuscular control optimization scheme. According to the intelligent physical education system, by fusing multi-source motion perception, deviation analysis and AR visual correction, synchronous optimization of motion precision and neuromuscular control ability is realized, and an intelligent physical education system with real-time interaction characteristics is constructed.

The invention belongs to the technical field of data processing, and relates to an intelligent exercise training method based on Internet of Things, which comprises the following steps: firstly, acquiring exercise state information and heart rate state information selected by a user, and transmitting the heart rate state information and the exercise state information to edge computing equipment; secondly, the edge computing device constructs a heart rate prediction model according to the real-time heart rate state information and the motion state information of the user, and meanwhile the edge computing device feeds back heart rate prediction information output by the heart rate prediction model in real time to the user in real time; meanwhile, the edge computing device evaluates the fatigue degree of the user according to the heart rate prediction information and the heart rate state information of the user at the time pointed by the heart rate prediction information; and finally, when the fatigue degree of the user in the motion process is abnormal, the edge computing device outputs a fatigue alarm to the user. By means of the technical scheme, real-time data collection, analysis and feedback in the exercise training process are achieved; meanwhile, the invention further designs a device for improving the training effect and electronic equipment.

The invention provides an intelligent fitness guidance system and method based on AI posture analysis and MR man-machine interaction. The system comprises a 3D depth global camera module used for capturing RGBD image data of a user; the AI-based fitness plan recommendation module is used for planning a fitness plan for the user; the dynamic adjusting module is used for analyzing the physical fitness change of the user and dynamically adjusting the training plan according to the actual physical fitness condition of the user; the instant feedback module is used for collecting feedback of the user on the training effect; the AI-based body-building action analysis module is used for identifying and analyzing body-building actions of the user based on the multi-modal body-building data of the user; the AI-based virtual coach interaction module is used for performing real-time communication with the user based on the fitness knowledge large model; and the fitness action demonstration module based on 3DMR imaging is used for projecting a virtual 3D fitness coach and a virtual character similar to the posture of the user. According to the invention, intelligent and personalized fitness guidance can be provided for the user.

The invention discloses a portable respiratory function rehabilitation training device and a method thereof, and belongs to the technical field of medical rehabilitation. The device comprises a data acquisition module which integrates a plurality of micro sensors to acquire respiratory airflow, heart rate, oxyhemoglobin saturation and environmental parameters of a user in real time; the data preprocessing and fusion module is used for cleaning, standardizing and performing time synchronization on the collected original data and fusing the collected original data into a uniform data format; the intelligent analysis module is responsible for performing real-time analysis on the fused data, identifying a breathing mode, evaluating a current health state and predicting a rehabilitation trend; the training scheme generation module is used for dynamically generating and adjusting a personalized breathing training scheme; the real-time feedback and interaction module is used for providing real-time training guidance and progress feedback for the user; the effect evaluation and optimization module is used for evaluating the rehabilitation effect and continuously optimizing a training strategy by using a reinforcement learning algorithm; according to the portable hardware integration module, all modules are integrated into small-sized and low-power-consumption portable equipment.

A player monitoring system for compensating for network delays comprises a server that is configured to receive sensor data from multiple sensors at dispersed locations. In some embodiments, a server is configured to determine a delay associated with one network path carrying sensor data to the server and a delay associated with another network path carrying sensor data to the server. Based on the delays, the server is configured to synchronize events detected by the sensors at the dispersed location, thereby permitting more precise and accurate gameplay decisions for a dispersed sporting event.

The invention discloses an intelligent fitness method and system. The intelligent bodybuilding method comprises the steps that the bodybuilding equipment receives a bodybuilding situation instruction and provides a corresponding motion mode for a user; the fitness equipment collects fitness data of the fitness equipment and feeds back the fitness data to the terminal; the terminal collects the fitness data and sends the fitness data to the cloud server; the cloud server processes the fitness data based on a pre-trained model and returns an interaction command to the terminal according to a processing result; and the terminal sends the interaction command returned by the cloud server to the fitness equipment, so that the fitness equipment updates the exercise mode of the fitness equipment. According to the technical scheme, efficient transmission and comprehensive analysis of the fitness data can be realized through interaction of the fitness equipment, the terminal and the cloud server, and a proper fitness situation instruction can be given by utilizing the pre-trained model in combination with the fitness condition of the user, so that the exercise mode is dynamically adjusted, and the user experience is improved. Personalized and intelligent fitness services and fitness guidance are provided for the user, and the fitness experience of the user is improved.

Some examples of the disclosure are directed to systems and methods for displaying one or more user interfaces based on a context of an electronic device within a physical environment. In some examples, the electronic device detects initiation of an exercise activity associated with a user of the electronic device, optionally while a computer-generated environment is presented at the electronic device. In some examples, in response to detecting the initiation of the exercise activity, the electronic device activates an exercise tracking mode of operation. In some examples, while the exercise tracking mode of operation is active, the electronic device captures one or more images of a physical environment. In some examples, in accordance with detecting, in the one or more images, a feature of the physical environment, the electronic device performs a first operation associated with the exercise tracking mode of operation.

A basketball passing machine providing a multi-user mode and related systems and methods are provided. A controller receives programming information for a basketball practice drill including participant information for multiple users. Based on the programming information received, each pass in the basketball practice drill is associated with a respective one of the multiple users. A launching device passes basketballs to locations at a basketball playing area, and participant information is displayed at the front display for an associated one of the users for a respective one of the passes.

The invention discloses a millimeter wave radar and range finder golf sports monitoring system and method and a medium, and relates to the field of sports monitoring, the system comprises a handheld integrated terminal, a laser ranging module, a millimeter wave radar module, a processing unit and a display unit are integrated in the handheld integrated terminal, and a first communication module is connected with the processing unit; the data interaction module is used for performing data interaction with an external mobile terminal; the mobile terminal comprises a second communication module, a trajectory prediction module and a recommendation decision module, and is used for comparing the predicted flight trajectory with a target trajectory preset by a user and generating a swing suggestion in a training mode; and in the motion mode, the central processing unit is used for planning and recommending a ball hitting strategy based on the expected drop point distance input by the user and the real-time environment data measured by the handheld integrated terminal in combination with historical training data of the user. According to the invention, accurate monitoring and dynamic analysis of the golf ball flight path are realized.

The pelvic floor muscle self-adaptive rehabilitation training system comprises a data acquisition unit, a data processing unit, a type identification unit, a degree evaluation unit and a training adjustment unit, and is used for acquiring rectus abdominis data, gluteus maximus data, respiratory rate data and the like of a user in a pelvic floor muscle rehabilitation training process as compensation identification data; then, the type recognition unit can process the compensation recognition data to obtain unconscious compensation types of the user in pelvic floor muscle rehabilitation training, the compensation types comprise abdominal muscle compensation, hip compensation and suffocation compensation, and meanwhile, the degree evaluation unit can evaluate the severity of the compensation types, so that the degree of the pelvic floor muscle rehabilitation training is improved. Finally, the training adjusting unit can generate a multi-modal strategy according to different compensation types and different severity degrees, the multi-modal strategy is used for guiding pelvic floor muscle rehabilitation training of the user, intervention on compensation is achieved, it is guaranteed that the user conducts complete rehabilitation training on pelvic floor muscles, invalid training and even injury are avoided, and the rehabilitation effect is enhanced.

The invention relates to the field of swimming physical training analysis, and particularly discloses a swimming underwater physical training effect analysis system based on training data, which is characterized in that video data, motion data and physiological data of a swimmer are acquired by integrating an underwater camera, an inertial measurement unit, a myoelectricity sensor, a heart rate sensor and a blood oxygen sensor; space-time synchronous analysis of multi-modal data is realized; on the basis of joint angle change consistency and muscle activation synchronism, whether the action of the swimmer is standard or not is judged, AR real-time feedback is conducted, and real-time correction of the swimmer in training is facilitated; the training load of the swimmer is evaluated based on the underwater speed, the stroke, the stroke frequency, the swimming distance and the swimming duration, and overrun early warning is carried out, so that making of a personalized training plan is facilitated, and meanwhile, overtraining is avoided; by monitoring the heart rate, the oxyhemoglobin saturation, the muscle activation duration and the joint activity condition of the swimmer, whether the swimmer has the injury risk or not is judged, early warning is triggered, and the injury occurrence rate is reduced.

The invention relates to the technical field of sports teaching, in particular to an intelligent sports training teaching device for a stadium. The device comprises an action monitoring module, an error frame point identification module, a posture matching evaluation module and a feedback optimization adjustment module, the monitoring terminal can be connected with a corresponding camera, an intelligent display screen and a training equipment sensor in a training area of the stadium, and is used for locking and monitoring a training action video and training action sensing data corresponding to a trainee in real time; a high-speed wireless communication module is adopted to transmit to a corresponding central data processing unit in real time, wrong action time frame point recognition and wrong time synchronization determination are carried out, meanwhile, action posture matching evaluation is carried out, and the training action posture matching degree corresponding to a trainee is obtained; and performing teaching feedback optimization adjustment on the personalized teaching training plan corresponding to the trainer to generate personalized teaching feedback suggestions corresponding to the trainer on the stadium. The physical training effect can be improved.

The invention provides a method for assisting golf training and a computer program product. The method includes: capturing a video of current swing by a user and simulator data; analyzing a swing action by using human body key points, to obtain swing stages and corresponding key point set sequences; determining a plurality of action features corresponding to the current swing; comparing the plurality of action features of the current swing with a plurality of action features corresponding to an optimal personal swing model to obtain an action difference between the current swing and the optimal personal swing model; and according to the simulator data, determining a result difference between the current swing and the optimal personal swing model. With the utilization of the above technical solution, golf playing skills can be improved according to physical conditions of the user.

A system includes a platform configured to receive a video recording of a flight path of an object and initiate back-end processing of the video recording. The back-end processing may include data modeling, object detection operations, normalizing operations, adjusting normalize data based on meta_camera specifications to compensate for limitations of the user device used to create the video recording, and applying mathematical techniques to the adjusted data to derive metrics relating to the flight path of the object and to generate an enhanced video clip of the flight path. In an embodiment, the back-end processing may further include generating a trace line of the flight path of the object, adding the trace line to the enhanced video clip, transmitting the enhanced video clip and the metrics to the user device, and storing the enhanced video clip and the metrics in back-end storage.

The invention provides a training and examination robot system based on a multi-modal large model, equipment and a computer program product, and aims to accelerate training transformation and upgrading and improve coping ability as basic appeals, and based on regular training work of teams, training and examination robot, sensor acquisition equipment and big data platform three-terminal equipment. A multi-modal data acquisition layer for realizing real-time attitude detection and motion capture by using an edge calculation algorithm, a data processing and analysis layer for finishing real-time image processing through localized edge calculation in a network-free or power-free environment, and system control functions for finishing intelligent decision making, evaluation, error correction and the like are provided; an intelligent decision-making and control layer of a training subject rewriting decision-making mechanism is established, cross-modal collaborative learning middleware is utilized to realize modal representation consistency while training subject transposition evaluation is realized, training and assessment operations of the same subject of multiple persons or different subjects of multiple persons are supported, and the training and assessment efficiency is remarkably improved.

A method of tracking golf play includes receiving a plurality of coordinate sets corresponding to a plurality of shot to locations of golf balls hit by a plurality of players on a hole in a golf event. The plurality of coordinate sets were automatically captured in sensor data of a plurality of sensor device coordinate sources positioned around the hole. Hole events corresponding to strokes of the plurality of players on the hole in the golf event are received that were automatically detected in sensor data of a sensor device hole event sources. Each hole event may be automatically associated with one of the plurality of coordinate sets that correspond to the shot to location of the golf ball for the stroke the hole event corresponds to generate detailed scoring data for the plurality of players on the hole in the golf event.