231 results about "Sport training" patented technology

The invention provides a physical training posture correction method based on machine vision, which comprises the following steps: acquiring an athlete training image sequence through a multi-view image acquisition system and preprocessing the athlete training image sequence, extracting three-dimensional posture key points of a human body by utilizing a depth posture recognition model, constructing a skeleton model and calculating real-time kinematics characteristic parameters, and performing multi-dimensional comparison with standard parameters to generate a posture deviation evaluation report, thereby generating a personalized multi-modal correction feedback scheme, and establishing a personal athlete movement feature database to realize adaptive standard parameter optimization. According to the method, the training postures of athletes can be accurately recognized and corrected in real time, the training effect can be improved, sports injuries can be prevented, and training individuation and scientificity are improved.

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 discloses a personalized physical training load intelligent regulation and control system based on multi-modal physiological data fusion, and relates to the technical field of intelligent physical training and health monitoring. The system comprises a multi-modal data acquisition module, an intelligent fusion analysis module, a personalized decision module and a real-time regulation and control module. The method comprises the following steps: acquiring physiological, motion and environmental parameters of a user, and performing multi-modal data fusion by using a time sequence-causal attention mechanism to generate a comprehensive physiological state feature vector; a dynamic personalized baseline is established based on a meta-learning framework, a load adjustment decision is generated by adopting a hierarchical reinforcement learning algorithm, and regulation and control safety is ensured through causal reasoning verification; and finally, load adjustment is executed through the real-time regulation and control module to form closed-loop control. According to the method, the problems that in the prior art, training load regulation depends on a single physiological parameter, the individuation degree is insufficient, and decision making is lack of scientificity are solved, and accurate, self-adaptive and safe individualized physical training management is achieved.

The invention relates to the field of medical care informatics, and discloses an exercise training management system based on multi-sensor fusion, which is characterized in that the system acquires calibration data to establish an individualized exercise physiological response baseline model, inputs actual exercise performance into the baseline model in training, and determines expected physiological signs; calculating a time sequence deviation value between the expected physiological sign and the actual physiological sign; when it is monitored that the athletic performance declines, attribution is carried out based on a time sequence deviation value, and the athletic performance declines are judged to be derived from conventional fatigue or potential physiological health risks, by introducing a time sequence deviation attribution mechanism, the technical problem that in the prior art, due to data isolation, the athletic performance decline causes cannot be judged is solved, and the probability that the athletic performance declines is lowered is lowered. Therefore, the method has the capability of distinguishing conventional fatigue from potential health risks, and decision conflicts between invalid exercise guidance and health risk early warning are avoided.

The invention relates to a sports competition training action deviation detection and immediate correction method. The method comprises the following steps: collecting multi-joint dynamic data in a training process; on the basis of a preset inertial conduction continuity criterion, inertial change among all joints of the body is analyzed, and when it is detected that inertial conduction of any joint node is interrupted or an impact value is lower than a threshold value, the joint node is identified as a trigger point of action chain interruption; performing causal priority judgment on the action deviation based on the identified trigger point, determining whether the deviation is a dominant deviation or a subordinate deviation caused by an upstream joint, and if the deviation is the subordinate deviation, tracing an upstream cause and repositioning an intervention target; judging whether the current training stage is in a correction window stage suitable for feedback or not for the deviation which is confirmed to be intervened, and if not, delaying feedback output; and in the window period, trend judgment is performed on the deviation direction, if the deviation causes negative technical degradation, correction feedback is output, and if the deviation trend has positive evolution potential, the deviation is marked as acceptable deviation and is not corrected.

A pressure-sensitive stacking structure for a sports training device of the present invention that is able to detect a pressure with which a player grips a grip portion may include: a conductive layer that is pressure-sensitive; a circuit layer disposed to face the conductive layer and having a plurality of conductive patterns; and a separating layer disposed between the conductive layer and the circuit layer and formed of a fibrous tissue including a plurality of fibers, wherein, when a pressure is generated, the conductive layer and the circuit layer may come into contact, and the pressure may be detected.

The invention discloses a multi-target physical training action evaluation feedback system based on artificial intelligence, and the system obtains video data and physiological data in a multi-target motion scene through a multi-dimensional data collection module, and optimizes skeleton key point data through a data preprocessing module; and the continuous identity association of the moving target is realized by the multi-target tracking and binding module. The motion modeling module constructs motion state variables based on a target constraint dynamic optimization model and applies physiological and physical constraints, the fusion evaluation module combines local motion decomposition and physiological data correlation analysis to generate a comprehensive score, and the personalized feedback module outputs hierarchical improvement suggestions. And the adaptive standard library module iteratively optimizes standard action parameters according to the user type and historical data. The system solves the problems that in the prior art, multi-target tracking is confused, action evaluation and physiological states are disjointed, and feedback is lack of accuracy, and efficient analysis, accurate evaluation and personalized guidance of actions in a multi-target scene are achieved.

The present application relates to the field of computer-aided sports training equipment, and particularly relates to a method and device for generating a demonstration video for sports training, computer equipment and a storage medium, wherein a demonstration action is constructed based on a composite action of a user and a decomposition action template corresponding to each decomposition action of the composite action, a more targeted decision basis can be provided for the sports training of the user according to the actual training condition of the user, and customization of the training content is realized.

The application relates to the technical field of sports training and discloses an intelligent sensing and feedback personalized sports training guidance system, which comprises a dynamic interactive field sensing module, a data processing and analysis module, an immersive feedback module and a personalized model evolution module; the sensing module collects real-time interactive data through an intelligent training pad integrated with pressure and vibration sensors; the data processing and analysis module is internally provided with a predictive intention engine, which can evaluate a posture before a user action and trigger a feedforward early warning, and calculate an actual motion track of the user after the action, namely a fact path; the personalized model evolution module maintains a baseline model based on historical best performance of the user, and the data processing module calls the model to generate an idealized counterfactual path; the immersive feedback module presents an early warning signal on the training pad and synchronously visualizes playback of the fact path and the counterfactual path. The application realizes high self-adaptation and personalization of training guidance and significantly improves training efficiency.

To provide a weight jacket in the technical field of sports training. [Solution] The garment includes a garment body 1, with weight-bearing areas 2 on both the front and back of the garment body, with a weight-bearing layer filled within the weight-bearing areas, made of a high-molecular polymer material and filled with weighting particles, the weight-bearing area on the front of the garment body being referred to as the front weight-bearing area, and the weight-bearing area on the back of the garment body being referred to as the rear weight-bearing area, the front weight-bearing area including a left and right area, the left and right areas being symmetrical and independent of each other, and the rear weight-bearing area being an integral structure. In this application, the weight-bearing structure is designed in appropriate locations, and through rational structural design and material selection, comfort and stability of the weighted jacket during movement are ensured.

This utility model relates to the field of sports equipment technology, and in particular to a vaulting platform for sports training, including a main base support plate, a lifting and adjusting cylinder fixed on the main base support plate, and a lifting and adjusting load-bearing transition plate fixed on the upper side of the lifting and adjusting cylinder. The vaulting board is detachably connected to the load-bearing transition plate, which is convenient to adjust and more flexible to use.

The application discloses a metabolic equivalent driven endurance training intensity gradient generation system and method thereof, and belongs to the technical field of intelligent sports training. The system comprises a non-contact physiological signal acquisition module, a multi-dimensional metabolic state modeling module, a floating threshold generation module, a multi-channel feedback regulation module and an edge abnormality filtering module. Respiratory and heart rate and other multi-dimensional physiological parameters are collected through the fusion of a millimeter wave radar and a PPG sensor. A three-dimensional metabolic state dynamic evaluation model is constructed based on a GRU network, and real-time MET values are output. Intensity adjustment threshold values are adaptively generated according to MET deviation. The exercise intensity is cooperatively regulated through the tactile feedback of intelligent running shoes and the slope adjustment of a treadmill. Abnormal data are filtered at the edge by using a LOF algorithm. The application solves the problems of single physiological signal dimension, static metabolic state evaluation and abnormal data interference in the prior art, and realizes the precise real-time regulation of endurance training intensity.

1. The name of the design product: the main body of the head limiter for sports training. 2. The use of the design product: the overall use of the product: the design product is a wearable sports training equipment and a sports performance improvement device. Specifically, it is a head positioning device for basketball and other sports training, which limits head movement in a physical way to prevent athletes from lowering their heads when dribbling. Local use of the product: main body of the head limiter. 3. The design points of the design product: the shape of the local part to be protected. 4. The picture or photo that best indicates the design points: perspective view.

The utility model relates to the technical field of physical training equipment, and discloses a physical training tension device capable of adjusting resistance, which comprises a left handle and a right handle, a plurality of tension ropes are arranged between the left handle and the right handle, and adjusting components are arranged in the left handle and the right handle. According to the physical training tension device capable of adjusting the resistance, the tension ropes are pre-wound through the winding rod, the length of the tension ropes is shortened, the short tension ropes means that muscles need to complete the contraction action in a shorter time, and therefore the training resistance is increased, the multiple tension ropes can be twisted together through the rotating rod of the right handle, and therefore the training resistance is increased. A plurality of pull ropes are mutually wound and interwoven to form an integral stress structure, and under the action of external force, the pull ropes can be mutually restrained and cooperatively deformed, so that the bearing capacity of the pull ropes can be exerted, and relatively large friction force also exists among the twisted pull ropes.

The invention provides an exercise training device with a foot brace and a training method of the exercise training device, and relates to the technical field of deep squat auxiliary training devices.The exercise training device comprises a training support, a positioning support, a bearing support, a bearing support block, a bearing top column, a bearing top seat and a guide top block; a guide support is arranged at one end of the training support; the positioning support is arranged at the top of the training support; the bearing support is arranged on the outer side of the training support in a sleeving mode. The bearing support block is arranged at the top of the bearing seat; the bearing top column is arranged at the top of the positioning support; the bearing top seat is arranged at the top of the bearing top column; the guide top block is arranged at the top of the bearing top seat; an adjusting screw rod is rotationally matched with a threaded support block to push the whole bearing bracket to perform position adjustment, so that the bearing bracket is matched with a bearing seat to support a bearing pedal to perform position adjustment according to the body type of a trainee; the problem that certain potential safety hazards exist due to the fact that the positions and the intervals of bearing pedals of most squat training equipment are fixed is solved.

The invention discloses a physical training load regulation and control method and system based on self-adaptive physiological coupling, and the method comprises the steps: collecting an electrocardiosignal, a light volume pulse signal, a respiration signal, a surface electromyographic signal and a body surface temperature signal, and generating a multimode sequence with a time mark; self-adaptive time alignment is executed, a timestamp graph is constructed, clock drift estimation is carried out, segmented monotonic reversible time transformation is established, and a multimode sequence is mapped to a unified time axis; reconstructing the missing section and the artifact section, establishing a mask auto-encoder with physiological priori constraints, combining time domain consistency constraints and frequency domain consistency constraints, and outputting a continuous differentiable reconstructed sequence. According to the method, by introducing adaptive time alignment, cross-modal signal reconstruction and dual-time scale state modeling, coordinated recognition and dynamic load regulation and control of multi-source physiological signals are achieved, coupling analysis in the training process is more stable, and an individual model can be continuously and adaptively updated.

The application discloses a Tai Chi action posture recognition and deviation correction training system and relates to the technical field of action recognition and sports training, and solves the technical problems that it is difficult to quantitatively recognize the coherence of Tai Chi actions, the guidance lags behind the actions, and the template does not match the body shape of a user. The system comprises a posture acquisition module, which acquires a user bone frame sequence and a joint angular velocity change rate; a motion trend prediction module, which adopts a rotation matrix to predict the head and a forward kinematics chain to recursively output a next frame prediction coordinate; a ghost generation module, which sets a differential matching window according to four stages of Tai Chi, generates a semi-transparent ghost by performing size normalization mapping on a three-bone segment group scale factor weighted by square roots of joint numbers, and performs size normalization mapping on a three-bone segment group scale factor weighted by square roots of joint numbers; a deviation perception module, which constructs a dynamic weight smoothness penalty term to generate a deviation correction signal; and a multi-modal feedback execution module, which maps a deviation amount into a line color and a vibration parameter, and outputs feedback according to the time sequence of vision, touch and voice.

The invention relates to the technical field of sports equipment, in particular to an aerobics treading and jumping device for physical training and a training method thereof.The aerobics treading and jumping device comprises a pedal and a plurality of buffer assemblies, a plurality of first grooves are formed in the bottom of the pedal, the buffer assemblies correspond to the first grooves, and the tops of the buffer assemblies are connected with the first grooves; the multiple buffer assemblies are located at the bottom of the pedal, the bottom plate is arranged at the bottoms of the buffer assemblies, multiple second grooves corresponding to the multiple buffer assemblies are formed in the top of the bottom plate, and the bottoms of the buffer assemblies abut against the second grooves; according to the invention, the training safety, stability and equipment practicability are effectively improved.

A training device for ball sports 1 comprises a launching section 3 comprising a pair of launch wheels 15, the launch wheels 15 having substantially parallel axes of rotation, and an adjustment mechanism 19 configured to adjust the vertical angle of launch of the launch wheels 15; a base section 2 supporting the launching section 3; the base section 2 comprising a base swivel 6 comprising an outer perimeter base 9 sized and shaped to provide a stable contact with the ground or other surface on which the base section 2 is resting, and at least one leg 10 connected to the outer perimeter base 9 and extending upwards to connect with and support the launching section 3 above the ground or other surface, the leg or legs 10 and launching section 3 mutually configured for rotational connection so that the base section 2 can freely swivel in substantially the horizontal plane.

A pressure-sensing laminate for a sports practice device according to the present invention comprises, with respect to a pressure-sensing laminate for sports practice device capable of sensing pressure applied by a player to a grip part: a conductive layer having pressure sensitivity; a circuit layer disposed to face the conductive layer and provided with a plurality of conductive patterns; and a separation layer disposed between the conductive layer and the circuit layer and made of a fiber structure comprising a plurality of fibers, wherein, when pressure is applied, the conductive layer and the circuit layer come into contact with each other to sense the pressure.

The application discloses a kind of based on deep learning's basketball player posture detection method and system, it is related to sports science technology field, to solve the accuracy problem of player posture detection in basketball game;The method collects basketball game video from multiple perspectives, and pre-processes video, calculates video quality score, and classifies video.For A type video and B type video, different key point optimization detection methods are used, further, muscle and brain electrical signals are fused, the physiological state score of player is calculated, the posture key point confidence is dynamically adjusted, and the detection accuracy is improved.Finally, the matching degree of posture key point sequence in video is calculated by dynamic time warping.The application can detect the posture of basketball player with high precision in complex environment, has strong robustness, and is suitable for sports training and tactical analysis.

The invention relates to the field of intelligent physical training and man-machine interaction, and discloses an interactive martial art immersive teaching system, which obtains macroscopic body movement and microscopic skin vibration signals of a user through a multi-mode acquisition module, and extracts real-time breathing phases in a non-contact manner by using an Euler video enhancement technology and Hilbert transform. On the basis, the system establishes a dynamic coupling mechanism of the breathing phase and the impedance characteristic of the virtual rigid body model, and the dynamic physiological stiffness is used as a physical constraint condition to execute inverse dynamic solution, so that the effective internal stiffness modulated by breathing is quantified. And finally, the immersive feedback module generates a dynamic fluid special effect and tactile feedback according to the gas-force coherence index, and adaptively controls teaching stepping. The technical pain points that in traditional martial art teaching, 'internal strength 'cannot be quantified, and breathing and actions are difficult to cooperate are effectively solved, and digital immersive guiding with shape and gas integration is achieved.

The application discloses a kind of sports training system and method based on body measuring machine deep learning, system includes: first acquisition module, for based on the reader and passive RFID tag matrix included in body side machine, the phase information of user is collected to carry out sports training;Second acquisition module, for based on the shooting module included in body side machine, video information of user is collected to carry out sports training;First determination module, for determining the first action information of user based on phase information;Second determination module, for determining the second action information of user based on video information;Adjustment optimization module, for determining the actual action of user according to first action information and second action information;Actual action is compared with standard action, and according to the suggestion information of comparison result is given adjustment optimization.It is adjusted and optimized to training action, improve the accuracy of action when user carries out sports training, further improve training effect.

1. The name of the design product: sports training equipment rack. 2. The use of the design product: for dumbbell placement. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention provides football sports training equipment, and relates to the field of sports equipment. The football sports training equipment comprises a frame, a cleaning structure is fixedly connected to the position, close to the edge of one side, of the center of the lower inner wall of the frame, a displacement structure is arranged on the portion, located on the other side of the cleaning structure, of the lower inner wall of the frame, and a target blocking structure is arranged at the position, close to the lower end, of the center of the rear side wall of the frame. A load bearing structure is arranged at the center of the lower end face of the frame. The target blocking structure is arranged, the two first driving motors are controlled to drive the two first lead screws to rotate, the two vertical rods are driven to move through the threaded connection relation between the two connecting sleeves and the two first lead screws, the reaction capacity and the pre-judgment capacity of an athlete can be exercised, and by arranging the two targets, the target blocking effect is improved. The impact of the football on the first target can be reduced under the action of the buffer layer, a good force unloading effect is achieved, and the target board movably connected to the front side wall of the second target can be used for training the sight during shooting.

This invention belongs to the field of sports training equipment and discloses a ping-pong ball distribution and delivery mechanism, which makes the ball distribution and delivery smooth and thus greatly improves the user experience. It includes a ball delivery channel and a ball delivery crank. The ball delivery channel extends vertically downwards or inclined downwards, and the passage area of ​​the ball delivery channel is larger than the large circle of the training ping-pong ball. The ball delivery crank is vertically rotatable relative to the ball delivery channel. Two ball-blocking protrusions are formed on the ball delivery crank. Both ball-blocking protrusions extend horizontally and are located inside the ball delivery channel. The plane containing the extension axis of the two ball-blocking protrusions is inclined relative to the extension direction of the ball delivery channel, and the vertical spacing of the two ball-blocking protrusions matches the diameter of the training ping-pong ball. The maximum distance between the edges of the two ball-blocking protrusions and the inner wall of the ball delivery channel is respectively used as the first ball-passing distance and the second ball-passing distance. The first ball-passing distance and the second ball-passing distance are respectively greater than and less than the diameter of the training ping-pong ball.