2525results about "Gymnastic exercising" patented technology

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 relates to the technical field of medical health information, and particularly discloses a heart rehabilitation training control method based on muscle force and electrocardiosignal real-time monitoring, which comprises the following steps: firstly, calculating real-time myoelectricity intensity to quantify muscle load, synchronously analyzing electrocardiosignals and respiratory frequency to obtain a cardiopulmonary state, and correcting physiological indexes in combination with a trunk motion state; then, a multi-parameter fusion result is generated through a weighted fusion algorithm, and the relevance between the muscle force load and the heart response is comprehensively reflected; then, the system judges the training intensity through a preset threshold model, generates a voice feedback instruction in real time to adjust the action of the patient, and adaptively updates training parameters to match the rehabilitation progress of the individual; meanwhile, the system continuously monitors multi-parameter changes, and automatically triggers an early warning mechanism when abnormal risks are detected, so that training safety is ensured. According to the method, the limitation that a traditional scheme depends on a single index is overcome, and personalized and dynamic heart rehabilitation training closed-loop control is achieved.

The invention relates to a fitness action error correction method and device for bone key point detection, equipment and a medium. The method comprises the following steps: acquiring video data in a multi-person fitness scene, and performing skeleton key point detection on each frame of image in the video data to obtain a multi-person skeleton key point sequence; performing spatial clustering processing on the multi-person skeleton key point sequence to obtain a plurality of individual skeleton key point sequences; according to the skeleton key point sequence of each individual, generating an action track of each individual; based on a preset standard action sequence, identifying an action matching result corresponding to each action track; according to the action matching result, the action deviation value of each individual is calculated, and action error correction feedback information is generated based on the action deviation values; the error correction feedback information is used for indicating each individual to adjust the fitness action. The method can adapt to complex scenes, solves the problem that key points of scenes of multiple persons are confused, and provides effective support for fitness guidance and the like.

The invention discloses an intelligent backboard interaction method supporting terminal interconnection, a medium and an intelligent backboard. The intelligent backboard interaction method comprises the following steps: collecting user space motion data to generate a space-time trajectory sequence and binding a user identity label, segmenting a multi-user shooting action data stream in real time, extracting dynamic association features and combining sphere trajectory data to construct a multi-dimensional feature matrix; inputting the matrix into a distributed intention understanding engine, and fusing voice, a touch event and historical data to generate an interactive decision instruction; a dynamic content generation module is driven according to the instruction, a training difficulty coefficient and a tactical matching degree are calculated in real time, and a multi-terminal cooperative control signal is output; and aggregating multi-user and sphere state feedback data, and continuously adjusting a collaborative strategy of a shooting action evaluation standard, a multi-user confrontation rule and terminal display content. According to the method, accurate distinguishing and collaborative intention understanding of multi-user actions are realized, and the training individuation level and the self-adaptive real-time control capability of multi-user interaction are effectively improved.

Procedure for controlling a counter-current system 3 for swimming pools comprising the following steps: a. Providing a swimming pool 1 with a counter-current system 3 for generating a flow 31 of a predetermined flow velocity v in the swimming pool 1, a sensor 4, 5; 6 for generating a control signal depending on the position of a person swimming in the pool 21, 22, 23 and a control unit 7 which, based on the control signal, sets the flow velocity v generated by the counter-current system 3; b. Determining the position of a person swimming in the pool 21, 22, 23; c. Comparison of the determined position with a predetermined position range 41, 51 to generate a control signal for the control unit 7 of the counter-current system 3; d. Increase or decrease the flow velocity v generated by the counter-current system (3) by means of the control unit 7 when the person 22, 23 swimming in the pool is in the predetermined position range 41, 51.

A method for analyzing a ball game motion includes: in response to entering a serving stage, obtaining a motion trajectory of a ball by fitting based on a ball game video acquired; determining a hitting coordinate of a motion subject, a hitting posture of the motion subject, and a landing coordinate of the ball based on the motion trajectory and the ball game video; and obtaining a motion analysis result based on the hitting coordinate, the hitting posture, and the landing coordinate, to display the motion analysis result in real time through a display device.

A method, apparatus, and system are disclosed for a robot with tennis ball gathering capabilities. A robot is configured to collect, transport, and deposit for storage tennis balls and other light-mobile sports equipment such as are used in table tennis, badminton, squash, pickleball, golf, basketball, dodgeball, floor hockey, indoor soccer, etc., to assist a player in practice without need for additional support personnel or manual ball retrieval by the player.

The invention discloses a badminton player action posture analysis system and method based on multi-sensor fusion, and relates to the technical field of athletic training auxiliary systems.The system comprises a wearable sensing subsystem, an environment sensing subsystem and a central processing and feedback subsystem; the wearable sensing subsystem is arranged on an inertia measurement unit and a pressure sensing insole of a body to collect movement inertia and plantar pressure data; the environment perception subsystem collects global videos through multiple cameras. The central processing and feedback subsystem performs synchronous processing on multi-source data, adopts a hierarchical fusion algorithm, restrains inertia integral drift by utilizing a plantar contact state, reconstructs a three-dimensional skeleton posture and a motion trail in combination with visual key points and skeleton restraint, drives a digital twin model, compares with a standard motion model, and performs three-dimensional motion control on the three-dimensional skeleton posture and the motion trail. Quantitative evaluation results such as joint angle deviation, time sequence difference and pressure center track are generated, and visual feedback is performed through a display device and an augmented reality terminal for badminton training evaluation and technical deviation correction.

A system for optimizing mechanics and movements in remote or outpatient physical therapy, rehabilitation, sports training, and injury prevention that uses several inertia measurement units (IMUs) to measure a user's motion while performing an action. The IMUs can have additional sensors connected to improve the system's ability to detect flaws in the user's motion. Furthermore, the system uses machine learning to detect and determine flaw in a user's motion from the IMU data. The system may generate feedback to improve the user's motion based on the detected flaws. Different feedback communication may be provided based on the performance of the user after the feedback is provided.

The invention relates to the technical field of computer vision, in particular to a gymnastic training real-time feedback and error correction system based on image recognition and tracking, and the system comprises a data collection module which is used for obtaining a three-dimensional space coordinate system of a training field, and synchronously collecting the training actions of gymnastic athletes through a plurality of cameras, so as to obtain a multi-view real-time training video stream; and the image processing module is used for carrying out frame image decomposition on the multi-view real-time training video stream to obtain continuous multi-view action frame images. According to the invention, through the data acquisition module and the skeleton generation module, real-time three-dimensional attitude skeleton data under a three-dimensional space coordinate system of a training field can be obtained, so that the defects that the traditional video playback lacks space depth information and cannot truly restore the three-dimensional attitude are fundamentally overcome; meanwhile, the problems that the visual angle is single and motion details cannot be captured in all directions during visual observation of a coach are solved, and a complete three-dimensional space data basis is provided for subsequent accurate analysis.

The invention provides a football player comprehensive ability evaluation method, system and device based on big data and a medium, and belongs to the technical field of sports data analysis. The method comprises the steps that technical data, tactical data, physical ability data and physiological data of football players are collected; performing feature extraction and standardization processing on the data; acquiring contextual information of the match, presetting weights of technical features, tactical features, physical fitness features and physiological features in different match scenes, and weighting the standardized features to obtain a fused weighted feature vector; constructing a high-order ability quantification model, and calculating a high-order ability index of the player according to the weighted data; simulating the ability performance of the players under different opponent strengths based on the CGAN, calculating the deviation degree between the performance of the players and the reference performance, determining the stability coefficient, generating the comprehensive contribution index of the players in combination with the high-order ability index, and evaluating the comprehensive ability of the players. According to the method, the accuracy of player ability evaluation is improved, and the method can be used for optimizing team lineup configuration.

Exemplary task-agnostic exoskeleton control system and method are disclosed that are task-agnostic utilizing instantaneous estimates of biological joint moments from deep neural networks to assist the user movements. The exemplary control system employs multiple body sections and joints in-the-loop estimation to provide multi-joint assistance operation, e.g., within an autonomous, clothing-integrated exoskeleton. The exemplary control system may deploy a deep domain adaptation (DDA) method configured to translate human movement data between a simulated sensor domain and a real sensor domain.

The invention relates to the technical field of artificial intelligence, in particular to a multi-dimensional tennis action analysis system, which comprises a data acquisition module, a data preprocessing module, an evaluation analysis module and a feedback interaction module, and is characterized in that the data acquisition module comprises a posture data acquisition unit, a ball path and walking tracking unit and a motion parameter acquisition unit; the data preprocessing module carries out space-time calibration on posture, track and motion parameters based on a timestamp synchronization mechanism, a fusion data set is formed through data cleaning and standardization processing, and the evaluation analysis module is used for distinguishing action types, integrating scores of posture dimensions, power generation dimensions and drop point dimensions and generating a comprehensive evaluation report; and the feedback interaction module displays an evaluation result in real time on an interface based on characters and visual icons and outputs historical analysis. According to the invention, the data validity is guaranteed, the error interference is eliminated, the analysis efficiency and the professionality of the evaluation result are improved, the use threshold is reduced, and the universality and practicability of the system are improved.

In a first step, a time series of images are resized to a smaller dimension, and the smaller images are fed into a first classifier that is trained to classify as a ball any objects in the smaller images that resemble a ball. In a second step, the smaller images are mapped back to the series of images, and regions in the series of images that contain the mapped ball are cropped from the series of images. The mapped ball is shifted based on a velocity of the mapped ball in the cropped regions, and the second classifier regresses center coordinates and a radius of the shifted ball, classifies whether the shifted ball is the ball based on a confidence score, and updates the shifted ball in the cropped regions based on the regressed center coordinates and radius.

The invention discloses a real-time measurement method and system for martial arts striking mechanical characteristics, and belongs to the technical field of sports biomechanical measurement, and the method comprises a multi-sensor signal acquisition step, a mechanical characteristic extraction step, a biomechanical analysis step, a technical style evaluation step and a result output and feedback step. According to the system, an intelligent target and wearable sensor cooperative measurement framework is adopted, a piezoelectric force sensor array is arranged in the intelligent target to collect a three-dimensional impact force time history curve, and a wearable inertial measurement unit collects kinematics parameters; performing reverse dynamic analysis based on a rigid dynamic chain model, and calculating joint torque contribution and energy transfer efficiency; technical style identification is realized through matching with a mechanical characteristic fingerprint database; and outputting a striking mechanical parameter report and personalized training suggestions. The technical problem that the striking effect in traditional martial art training is difficult to quantitatively evaluate is solved.

The invention relates to the field of computer vision, artificial intelligence and intelligent fitness, and particularly discloses a fitness action recognition, counting and quality evaluation method based on machine vision, which comprises the following steps of: extracting video frames and standardizing the video frames, realizing background suppression and human body region enhancement through a semantic segmentation or inter-frame difference method, and outputting a standardized image sequence; detecting key joint points by adopting a pre-training model, and outputting a stable skeleton sequence and candidate action stage data through time sequence consistency filtering; reconstructing a feature tensor, fusing spatio-temporal features through double-branch attention collaboration, and outputting action categories and time sequence compensation parameters in a classified manner; a dynamic threshold method accumulates the number of actions, action qualification is judged in combination with biomechanical constraints, the confidence coefficient is optimized, and a structured result is output; bone rendering, error highlighting, voice generation and personalized training suggestions. According to the method, wearable equipment is not needed, the problems of instable identification, miscounting and the like in a complex scene are solved, and real-time accurate analysis is realized.

The invention relates to a basketball player motion capture analysis method and system based on an industrial camera. The method comprises the following steps: based on a preset three-dimensional human body model, obtaining a three-dimensional human body surface grid sequence and internal skeleton joint kinematics data by combining a pixel-level mask of each multi-view image frame set; detecting a body contact event and a continuous time period based on the Euclidean distance of the three-dimensional human body surface grid sequence; based on the internal skeleton joint kinematics data, calculating a multi-dimensional kinematics feature time sequence; constructing a dynamic causal hypothesis based on the body contact event, checking the dynamic causal hypothesis based on a preset differentiable forward dynamic multi-rigid-body human body model and a multi-dimensional kinematics characteristic time sequence to obtain a loss function value, and judging the hypothesis with the smaller loss function value as a real dynamic causal relationship. And the identity identification information is combined to obtain the identity of the active force generation party and the identity of the passive force bearing party. By adopting the method, a real force exerting main body and a real force bearing main body in confrontation can be accurately identified.

The invention discloses a weight loss gait test evaluation and training device and method, and the device comprises a weight loss control module which is used for weighing the weight of a user in real time and automatically adjusting the air pressure of an air bag according to a set weight loss proportion; the gait information acquisition module is used for synchronously acquiring plantar pressure distribution, lower limb joint kinematics parameters and double-view video data; the multi-modal gait evaluation grading model module is used for processing plantar pressure distribution, lower limb joint kinematics parameters and double-view video data and outputting lower limb dyskinesia grades; and the training scheme generation model module is used for automatically generating a training scheme including a weight reduction proportion, a treadmill speed, single exercise time and training times per week according to the lower limb dyskinesia level and the personal information of the user.

In one embodiment, a method includes, by an electronic device, receiving a digital input indicating a type of movement. Streaming sensor data corresponding to movements of a first user can be accessed from one or more sensors of one or more wearable devices on the first user. Displacement data corresponding to the movements of the first user can be generated based on the streaming sensor data and the indicated type of movement. One or more repetitions represented in one or more corresponding segments of the displacement data can be identified based on the displacement data. The displacement data corresponding to each identified repetition may substantially match a predetermined movement signature associated with the type of movement. One or more performance metrics can be calculated for one or more of the identified repetitions. Instructions can be provided for presenting a user interface including information referencing the performance metrics.

The present invention relates to a device for the prevention and / or treatment of fecal and / or urinary incontinence. The device may fit into a vagina. The device may include a pressure sensor and electrodes. The device may include a lateral projection on the device and / or a skin of the device. In response to intra-abdominal pressure the device may apply electrostimulation with the electrodes, for example to a vaginal mucosa.

The utility model provides an electric wheelchair with a rehabilitation function, which is used for upper limb rehabilitation exercise of a wheelchair user and comprises a touch sensor array arranged on the surface of an armrest of the electric wheelchair, and the touch sensor array comprises a plurality of touch sensors capable of being triggered by touch actions; when the touch sensor array is touched, the trigger state and the triggered sequence of each touch sensor are sent to the control module, so that the electric wheelchair moves according to the trigger state and the triggered sequence of each touch sensor in the touch sensor array; a wheelchair left side driving wheel is controlled by the touch action of the touch sensor array at the left armrest, and a wheelchair right side driving wheel is controlled by the touch action of the touch sensor array at the right armrest, so that a user can automatically judge the exercise amount of upper limb rehabilitation exercise according to the rotating direction and the moving distance of the electric wheelchair; according to the rehabilitation exercise device, convenient rehabilitation exercise can be provided for people with mobility difficulties, and a user can conveniently evaluate the rehabilitation exercise amount of the user.

A push-up board includes a board body and a plurality of data collectors arranged on the board body. The board body has at least two usage modes for user selection, when one of the at least two usage modes is selected, the data collectors are configured to collect data on push-ups under the one of the at least two usage modes.

The invention provides a lung expiration training system for nursing a patient outside a chest, which relates to the technical field of medical rehabilitation training and comprises a respiratory signal acquisition module, a main control and signal processing module, a feedback and excitation module and a data management and scheme customization module, the respiratory signal acquisition module is used for acquiring an instantaneous pressure difference signal in the expiration process of a patient in real time by utilizing a differential pressure type flow sensor; the main control and signal processing module converts the pressure difference signal into instantaneous flow, obtains an expiration flow-time curve, a primary expiration amount and expiration efficiency based on discrete sampling, smooth operation and integral calculation, and calculates an error sum of squares and a curve goodness of fit to form a comprehensive control amount; the feedback and excitation module provides visual, auditory or tactile feedback according to the comprehensive control quantity, and can present a gamification interface to guide the patient to adjust the breathing rhythm; the data management and scheme customization module is used for setting a personalized training scheme and recording training data, and the trend analysis unit generates a rehabilitation trend report based on historical indexes.

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.

The invention discloses a pathology adaptive prediction control method for a lower limb rehabilitation exoskeleton robot, and belongs to the technical field of rehabilitation robot control. The method comprises the steps that the joint angle, the angular speed and the man-machine interaction torque of the lower limb rehabilitation exoskeleton robot are collected in real time, and a kinetic equation of the lower limb rehabilitation exoskeleton robot is constructed; on the basis of the kinetic equation of the lower limb rehabilitation exoskeleton robot, parameter vectors representing the current pathological features of the patient are estimated online, so that a prediction model in the lower limb rehabilitation exoskeleton robot is updated, and the optimal auxiliary torque is solved. The intelligent brain of the exoskeleton robot can be deeply fused with the real-time state of the body of the patient, and rehabilitation training which is really personalized and self-adaptive and can effectively promote neural function recovery is provided for the patient.

The invention relates to a wearable fitness monitoring system that uses advanced sensor technology to track real-time muscle engagement, posture, and fatigue levels during physical activity. The system comprises a capacitive sensor system, incorporating elastic silver fiber cloth and medical-grade silicone, for precise muscle movement detection; a motion sensor for tracking movement along multiple axes; and an AI-powered processing unit to provide ergonomic feedback, prevent injuries, and optimize performance. It features dynamic self-calibrating sensors that adjust to user-specific movements using machine learning algorithms. The system offers personalized workout plans, adjusting in real-time based on biometric feedback, environmental conditions, and muscle fatigue. Additionally, it integrates Bluetooth Low Energy (BLE) for wireless communication, haptic feedback for posture correction, and AR / VR for immersive workout guidance. The system includes cloud-based data storage with encryption and supports blockchain for secure data management, offering a comprehensive, personalized fitness experience that improves workout efficiency and safety.

An electronic punching bag device for enhancing training for a boxer includes a punching bag which includes a plurality of chains for suspending the punching bag from the suspension for a boxer to deliver punches to the punching bag. A display screen is wrapped around the punching bag to display imagery that is visible to the boxer. A communication unit is integrated into the punching bag and the communication unit receives data from a personal electronic device comprising photographic imagery or video imagery which is displayed on the display screen. A plurality of pressure sensors is each integrated into the punching bag to sense the pressure of the punches delivered by the boxer.

The invention discloses a topological mapping monitoring and correcting method for abnormal scapular brachial rhythm after breast surgery, and belongs to the field of medical rehabilitation and computer vision. The method comprises the following steps: acquiring a trunk dynamic three-dimensional point cloud and infrared thermal imaging data; constructing a multi-layer collaborative dynamic topology network fusing a skeleton structure, soft tissue deformation and physiological activeness; extracting an intrinsic motion field and comparing the intrinsic motion field with the ideal model to generate deviation measurement; and calculating a dynamic instability index, comparing the dynamic instability index with a threshold value, and triggering optimization energy correction path calculation and instruction output. According to the method, the multi-dimensional topological mapping and dynamics prediction technology is adopted, accurate recognition and feed-forward early warning of motion abnormity under the influence of deep tissue adhesion after the breast surgery can be achieved, rehabilitation of a patient is guided through an energy consumption minimization path, and the accuracy of shoulder joint function remodeling and the individualized treatment effect are improved.

Apparatus and methods are disclosed for a standalone and multi-game miniature golf structure. A structure includes a digital display screen positioned to align vertically with a rear end of a putting surface and sensor(s) positioned below the digital display screen. The sensor(s) are configured to detect lateral positions at which balls cross the rear end. The structure includes processor(s), that for each shot of a plurality of miniature golf games, are configured to send command signals to the digital display screen to display putting target(s); identify, via the sensor(s), a lateral position at which a golf ball crosses the rear end of the putting surface; determine whether the lateral position of the golf ball aligns vertically with any of the putting target(s); and generate a score for the shot based on the lateral position of the golf ball relative to the putting target(s).