378 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 is suitable for the technical field of 3D scanning, and provides a figure model 3D scanning and dynamic attitude capturing method and system, which dynamically triggers 3D scanning by monitoring joint movement intensity in real time, continuously collects continuous movement tracks by using an inertial sensor in a non-scanning period, and reversely deduces space-time parameters of a shielded part through multi-light-source shadow boundary evolution. And constructing a spatio-temporal joint evaluation function to adaptively adjust the scanning frequency and the sampling rate, and finally performing spatio-temporal alignment and confidence weighted fusion on the discrete point cloud, the continuous trajectory and the reverse reckoning data to generate a dynamic biomechanical model. The scheme breaks through the bottleneck of resource waste and blind area shielding of traditional fixed frequency scanning, realizes space-time complementation and precision optimization of motion monitoring, and is suitable for dynamic scenes such as movie and television animation, medical rehabilitation, physical training and the like. According to the system, through multi-modal data fusion and self-adaptive resource scheduling, the data integrity, the real-time performance and the biomechanical analysis capability are remarkably improved, and an efficient solution is provided for human motion digitization.

The invention relates to the technical field of intelligent fitness equipment and exercise training control, and provides a training plan dynamic generation and action quality scoring method and system for an intelligent dumbbell. The method comprises the following steps: acquiring action data of a user during training and personalized parameters input by the user in real time through an acceleration sensor, an angular velocity sensor and a pressure sensor which are arranged in the intelligent dumbbell; inputting the action data and the personalized parameters into a preset training plan generation algorithm module so as to generate a stage training plan comprising the action type, each group of training duration, intermittent time and a weight adjustment strategy; an action quality scoring model is constructed, a standard action template is pre-stored in the scoring model, and the standard action template comprises standard trajectory curves, speed threshold ranges, amplitude reference values and force exerting symmetry parameters corresponding to different training actions; and performing multi-dimensional matching analysis on the action data and a standard action template, and dynamically correcting the score in combination with the current fatigue parameter of the user.

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.

This disclosure pertains to a sports training system that utilizes deep learning and computer vision technologies to analyze biomechanical sport motions. The system is equipped with AI-powered functionalities to enhance training, including those related to creating and managing motion templates that integrate video sequences with extracted motion features. These templates serve as benchmarks, accessible to trainees for improving their technique and performance. The system also can employ an advanced motion synchronization process, which combines dynamic time warping and computer vision technologies to align trainee videos with reference motions captured in motion templates. Additionally, a motion feature database can be updated with features extracted from both trainee and trainer videos, storing visual information in a structured format to facilitate various analytic functions. The system supports analysis of a wide range of sports motions.

The invention relates to the technical field of wearable intelligent equipment, and further relates to an exercise training plan generation method and system and wearable intelligent equipment. The method comprises the following steps: when a user is not in a motion state, determining a first maximum heart rate and a first maximum oxygen uptake of the user based on a support vector regression model and basic information of the user; when the user is in the motion state, photoelectric volume pulse wave signals generated by the user in the motion process are processed through a deep learning model, and a plurality of basic index sequences are obtained; determining a second maximum heart rate and a second maximum oxygen uptake of the user based on the plurality of basic index sequences, the basic information, the maximum heart rate and a maximum oxygen uptake prediction model; and generating an exercise training plan of the user based on the first maximum heart rate and the first maximum oxygen uptake, or generating an exercise training plan of the user based on the second maximum heart rate and the second maximum oxygen uptake. The method reduces the generation cost of the exercise training plan.

A sports training system can include a target board and a controller configured to control operations of the target board. The target board can be configured to be hit by a ball that is struck by a player, and rebound the ball to the player. The target board can include a plurality of board zones and vibration sensors respectively corresponding to the board zones. Each vibration sensor can sense vibration of a respective board zone. The controller can control illumination of a light source to designate one of the board zones as a target board zone for the player to hit with the ball, and determine whether the ball has hit the target board zone based on whether a vibration signal characteristic of the target board zone being hit by the ball is received from the vibration sensor corresponding to the target board zone.

The invention discloses a physical training posture collection method and system based on a model database and an adjustment method, and belongs to the technical field of physical training, and the method comprises the following steps: S1, transmitting a single echo through a laser radar, and collecting human body point cloud data and image information in combination with a high-definition camera; s2, performing multi-dimensional maximum pooling operation on the point cloud data based on PointNet to generate a three-dimensional human body model; s3, extracting human body key points by using an RMPE technology, and combining the human body key points with the SMPL parameterized model; and S4, segmenting a multi-person view through Mask R-CNN, and carrying out comparative analysis on real-time action data and a champion model database. According to the physical training posture collection method and system based on the model database and the adjustment method, motion data are collected through a laser radar and a high-definition camera, a three-dimensional human body model is constructed by utilizing a point cloud processing technology, posture comparison and analysis are performed in combination with the champion model database, and low-delay feedback is realized through a real-time operation system.

The invention discloses an athlete action analysis and training optimization method and system based on big data, and relates to the technical field of exercise training.Multiple array sensors are deployed to collect exercise data, including static data and dynamic data, of a trainee, and meanwhile medical images of the trainee are obtained; constructing a basic model of the trainer based on the motion data, wherein the basic model comprises a body model and a motion model; acquiring athlete big data to construct an athlete big database, and generating a shadow model based on coupling of the athlete big database and the body model; calculating the coincidence degree of the basic model and the shadow model, generating an optimal function unit based on the coincidence degree, and guiding training of other body function units based on the optimal function unit to obtain training data. According to the method, the trainee basic model and the athlete shadow model are constructed, a scientific target reference is set for personalized training, and the pertinence and operability of training optimization are greatly improved through data-driven personalized model construction.

The invention relates to a static balance real-time control method and system for a wearable tactile feedback device, and aims to provide an efficient, accurate and real-time static balance control scheme. According to the system, COP position data of a user is collected in real time through the pressure center COP collection module, and timely normal pressure feedback is provided in combination with the wearable tactile feedback device, so that the balance state of the user is adjusted. The system adopts an advanced data processing algorithm, supports multiple feedback control mode linear, quadratic and logarithmic functions, and can calculate COP offset in real time and generate corresponding feedback signals. Through the interactive interface, a user can conveniently set control parameters and display the COP track in real time. The system is widely applied to the fields of exercise training, rehabilitation treatment and virtual reality, has high-precision and low-delay feedback control capability, can effectively improve the accuracy and real-time performance of balance adjustment, fills the blank in the prior art, and has relatively strong application prospects and market potential.

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 present invention discloses a risk warning method for sports training injuries of athletes, which belongs to the field of sports risk warning technology and includes the following steps: S1: collecting limb movement information and limb movement trajectory of athletes in a sports training state, and determining the sports training information of the athletes in the sports training state; S2: pre-processing the collected sports training information of the athletes in the sports training state, and determining sports training characterization data of the athletes in the sports training state; S3: analyzing and evaluating the sports training characterization data of the athletes in the sports training state. The present invention solves the existing problem that it is impossible to provide timely risk warnings for sports training injuries of athletes, resulting in poor sports training effects of athletes. The present invention can provide timely risk warnings for sports training injuries of athletes, avoid injuries to athletes during sports training, facilitate the prevention of sports training injuries of athletes, and improve the sports training effects of athletes.

The invention relates to the technical field of training teaching, in particular to an exercise training action teaching system. The system comprises a training data acquisition module, a trainee action difference analysis module, a trainee training teaching module and a demonstration teaching feedback adjustment module, and can acquire corresponding training action postures and acceleration data in real time by configuring an inertial sensor on sports equipment corresponding to a trainee; meanwhile, the corresponding body consumption load condition is obtained; performing student action difference feature analysis on the training action postures and the acceleration data based on the body consumption load condition to obtain training action difference features corresponding to different students in the daily exercise training process; training teaching resources and time limiting conditions are obtained, and student training teaching analysis and teaching feedback adjustment are carried out, so that an exercise training teaching feedback adjustment strategy corresponding to the student is generated. According to the invention, scientific and personalized action teaching services can be provided for exercise training learners, so that the exercise training effect is improved.

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 invention discloses a safety risk early warning method and system for physical training, and relates to the technical field of physical training. Obtaining a quantum biological field abnormal coefficient, a muon bone mineral density variation coefficient, a motion posture coefficient and a training environment coefficient of each part of each trainee in real time; according to the coefficients, the safety risk value of each part of each trainee is accurately analyzed, and the safety risk evolution trend of each trainee is deeply analyzed; and finally, on the basis of the risk evolution trend, performing optimization and adjustment on protection measures of all parts of all trainees in a targeted manner. According to the method, through multi-dimensional data collection and analysis, dynamic monitoring and early warning of physical training safety risks are achieved, protection measures are optimized in time, the training risks are effectively reduced, reliable guarantee is provided for physical training safety, and the method is suitable for various physical training scenes.

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 invention relates to the field of physical training, in particular to a multifunctional track and field training device for physical education, which comprises a track assembly, a driving assembly mounted on the track assembly, a traction assembly mounted on the driving assembly and a pedal assembly mounted on the traction assembly, the driving assembly is used for driving the traction assembly and the corresponding pedal assembly to move on the track assembly, and the traction assembly is used for fixing the pedal assembly to any position on the track assembly; the track assembly is provided with a first transmission assembly, and the output end of the first transmission assembly is provided with a measuring assembly. By means of the measuring assembly integrated on the starting block, the distance between the starting block and the starting line can be measured when the starting block is installed, under long-term use, it can be guaranteed that the starting block is installed at the same position when training is conducted every time compared with the mode that the starting block is installed with a foot as a measuring reference, and the training efficiency is improved. The long-term muscle memory of athletes is favorably cultivated, and the training level is improved.

The present invention belongs to the technical field of sports training devices and discloses a football player's heading neck muscle training device for cultural tourism and sports. The device comprises a seat, which is used to carry a trainee. The bottom surface of the seat cushion is connected to a posture adjustment mechanism, a thrust applying mechanism is arranged above the seat cushion, and a serving mechanism is arranged on the side of the seat cushion. The posture adjustment mechanism, the thrust applying mechanism and the serving mechanism are connected to a processor through respective drive modules; the processor controls the serving mechanism to launch a football above the seat through the respective drive modules, controls the posture adjustment mechanism to adjust the rotation angle and lifting height of the trainee's head to match the position of the football, and controls the thrust applying mechanism to push the trainee's head horizontally to complete the heading training.

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 invention relates to the technical field of sports safety supervision, and discloses a big data-based sports training institution training safety intelligent supervision system and method, and the system comprises a sports training pre-supervision module, a sports training process safety supervision module, and a sports training safety response module. A cloud lens is carried by an unmanned aerial vehicle to collect real-time image information of physical training behaviors of students, and the physical training process of the physical training students is dynamically supervised; training dangerous behaviors in the student physical training process are intelligently predicted and processed according to the real-time image information of the student physical training behaviors in combination with an artificial intelligence recognition algorithm and a student physical training project training process dangerous behavior image library; the method realizes customized execution of dangerous behavior monitoring in the physical training process for the physical training trainee aiming at the physical training project, realizes double-safety customized monitoring of the physical state before physical training and the dangerous behavior in the physical training process, and improves the quality of physical training.

A sports training system including a sport training machine, a sensor, and one or more processors coupled to one or more computer-readable storage media having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations including obtaining, from the sensor, sensor data including a person performing a player movement, extracting, from the sensor data, action data including multiple points including respective locations of biometric data points corresponding to the person appearing in the multiple frames and tracking the player movement, identifying, from the action data, two or more phases of the player movement each including a proper subset of the multiple points tracking a timing and movement of the phase of the player movement, and generating, from the extracted action data, a movement profile for the player movement including the two or more phases.