124 results about "Physical education" patented technology

The invention relates to the technical field of physical education, in particular to a physical education method and system based on multimedia and holographic AR fusion, and the method comprises the following steps: collecting the motion data of a trainee based on a multi-source sensor array, constructing a motion parameterized model, and generating a holographic projection generation module through the cooperation with a standard motion database; a holographic AR teaching image is generated in real time, an environment perception module is combined to carry out adaptive projection on illumination and spatial layout, a spatial positioning module is used to establish coordinate mapping between a trainee and a virtual image, and a multi-channel feedback device is started to output visual, tactile and auditory signals. And finally, comparing the action parameters with the standard action data to automatically generate a training report containing wrong action labels and correction suggestions. According to the method, the motion capture precision and the interactive immersion can be effectively improved, and efficient and extensible technical support is provided for modern physical education and training.

The invention relates to the technical field of physical education, and discloses an artificial intelligence-based physical education evaluation system, which comprises a data acquisition module, a multi-target detection module, a key point modeling module, an action trajectory analysis module, a multi-modal fusion module and a dynamic feedback module. The data acquisition module receives a video stream of the camera device and motion physiological data of the wearable sensor; the multi-target detection module locates a target based on a YOLOv8 algorithm; the key point modeling module constructs a three-dimensional action attitude model by using an OpenPose algorithm; the action trajectory analysis module evaluates action standard; the multi-modal fusion module integrates the data to construct a multi-dimensional feature matrix; the dynamic feedback module generates a real-time score and a personalized correction instruction through the optimized LSTM network. In addition, the system further comprises a model self-adaption module, an abnormal action recognition module and a distributed calculation module. According to the system, precise evaluation of physical education is realized, the sports safety is guaranteed, personalized teaching is promoted, and the physical education quality is effectively improved.

The invention relates to the technical field of physical education teaching, in particular to an interactive physical education teaching method based on a large model, and aims to realize real-time monitoring and personalized training guidance of the motion state of a student through an advanced sensor technology and a machine learning model. The method comprises the following steps: firstly, collecting motion data of a student in real time through a camera and a depth sensor, including motion posture, speed, response time, heart rate and other information; then, the collected data are input into a pre-trained large model, the model comprises a convolutional neural network, a support vector machine and a random forest model which are respectively used for evaluating the action standard, the exercise intensity and the fatigue degree of students, the large model automatically generates personalized training items, and the exercise postures of the students are captured in real time; according to the motion deviation correcting system and method, by comprehensively applying various technical means, the scientificity and individuation level of physical education are improved, and the motion deviation correcting system and method have wide application prospects.

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 teaching management, and discloses a sports classroom multi-dimensional data dynamic weight evaluation method and system. Comprising the steps of collecting physiological index data and classroom image data to obtain student data; performing data cleaning on the student data, and constructing and perfecting a student classroom database; constructing a dynamic weight model and carrying out iterative optimization to obtain an optimized dynamic weight model; performing dynamic weight distribution on the perfect student classroom database by utilizing the optimized dynamic weight model to obtain a weighted student classroom database; constructing a multi-dimensional evaluation framework to perform classroom performance evaluation on the weighted student classroom database, and outputting a classroom performance index of each student; classifying the weighted student classroom database to obtain a marked student classroom database; designing a personalized sports classroom teaching strategy, and sending the personalized sports classroom teaching strategy to a preset teacher terminal; student classroom performance evaluation is carried out by applying the dynamic weight, and personalized teaching of teachers is facilitated.

The invention relates to the technical field of physical education management, and particularly discloses a digital informatization physical education comprehensive management system, which comprises a user interaction module, a data acquisition module, a data processing module, a system optimization module and a distributed database, the data acquisition module acquires teaching content, motion completion degree and user physiological data through a camera, a motion capture sensor and wearable equipment; the data processing module cleans and converts the data, and quantitatively evaluates whether the learning results of the students are qualified or not by using a constructed education evaluation coefficient mathematical model; the system optimization module calculates a scene optimization coefficient by analyzing a user favorable comment trend and multimedia loading performance, and automatically identifies a teaching scene needing to be optimized; the distributed database adopts a master-slave replication and fragmentation technology to improve data access efficiency and fault tolerance, digital management of physical education is achieved, and therefore the quality and efficiency of physical education are improved.

The invention discloses a motion capture method and system for physical education training based on image recognition, and the method comprises the steps: collecting a motion video image of an athlete through a multi-angle image sensor, and recognizing the body contour of the athlete in the motion video image in real time through a Center Net target detection algorithm; if detecting that the athlete extracts the key node, outputting the position of the key node; delimiting an ROI region of each key node according to a prediction result to obtain an ROI region image; and establishing a 3D attitude estimation model based on an HR-Net neural network, extracting an action trajectory of the marked region from the ROI region image, calculating biomechanical parameters based on the action trajectory, and generating personalized scores and improvement suggestions. Multi-dimensional evaluation from an absolute standard to individual differences is realized, and personalized scores and improvement suggestions are generated.

The invention discloses an intelligent turn-back running evaluation method and system based on face recognition. According to the method, firstly, intelligent acquisition devices are installed at the starting point and the ending point of a runway, and a high-resolution camera and an edge calculation module are used for carrying out real-time face snapshot and preprocessing on students; and carrying out face recognition by adopting a deep learning model, comparing a captured face image with a student face library, confirming the identity of the target to be detected, and associating with a running record. In the running process, the motion trail of the student is tracked in real time through the human body recognition technology, the turn-back action is accurately recognized, and the accuracy of turn-back point data is ensured. The problems of large manual timing error, difficulty in turning point monitoring, incomplete data recording and the like in a traditional turn-back running test are solved, and the automation degree and the data accuracy of the test are improved. Meanwhile, the system supports real-time data display and feedback, and provides a scientific basis for physical education and management.

The application relates to the technical field of physical education, and discloses a sports teaching evaluation system based on artificial intelligence, which comprises a data acquisition module, a multi-target detection module, a key point modeling module, an action trajectory analysis module, a multi-modal fusion module and a dynamic feedback module. The data acquisition module receives video streams of a camera device and motion physiological data of a wearable sensor; the multi-target detection module positions targets based on a YOLOv8 algorithm; the key point modeling module constructs a three-dimensional action posture model by using an OpenPose algorithm; the action trajectory analysis module evaluates action standardization; the multi-modal fusion module integrates data to construct a multi-dimensional feature matrix; and the dynamic feedback module generates real-time scores and individualized correction instructions through an optimized LSTM network. In addition, the system also comprises a model self-adaption module, an abnormal action recognition module and a distributed computing module. The system realizes accurate evaluation of sports teaching, guarantees sports safety, promotes individualized teaching, and effectively improves the quality of sports teaching.

The application relates to the technical field of data management, in particular to an intelligent sports teaching data management method and system. The method comprises the following steps: collecting motion video stream data and inertial motion data of students; mapping a camera coordinate system of the video stream data and a body coordinate system of the inertial motion data to a world coordinate system; constructing a state space model based on an extended Kalman filter, and iteratively calculating to obtain a corrected student three-dimensional skeleton posture sequence; calculating an optimal matching path and a similarity distance between the student three-dimensional skeleton posture sequence and a standard action template sequence; and generating a quantitative action score according to the similarity distance. The application eliminates integral drift while ensuring the anti-occlusion capability by using an extended Kalman filter algorithm; meanwhile, an improved dynamic time warping algorithm is introduced, the standardization and objectivity of action quality scoring are realized, and the scientificity, safety and individualization level of sports teaching are effectively improved.

The invention relates to the technical field of motion perception, in particular to an intelligent physical education real-time feedback system and method based on motion perception. The device comprises a joint capturing unit, a deviation coordination unit and an adjustment feedback unit. An angle judgment module calculates an upper arm vector and a front arm vector of an arm part, the dot product of the upper arm vector and the front arm vector is calculated according to the upper arm vector included component of the arm part and the front arm vector included component of the arm part, and the component of the upper arm vector of the arm part is used for calculating the modulus of the upper arm vector; calculating a model of a forearm vector by using a component of the forearm vector of the arm part, calculating an action angle of a joint by combining an upper arm vector and a forearm vector dot product with the model of the upper arm vector and the model of the forearm vector, judging whether the captured whole-body action of the student is a common activity or a movement, and calculating the whole-body action of the student through vector calculation and angle derivation. The action amplitude and speed of the joints can be accurately quantified, the error of subjective judgment is avoided, and the accuracy of analyzing the actions of students is improved.

The invention relates to the technical field of campus physical education, and discloses a campus physical digital management system and method based on a cloud platform, and the system comprises a multi-dimensional data acquisition module, a campus education cloud platform, and a feedback module. The multi-dimensional data acquisition module is used for acquiring student basic information data, student extracurricular activity data and student on-campus sports performance data, and the campus education cloud platform is used for storing the received data; according to the basic information data of the students, the extracurricular activity data of the students and the on-campus sports score data of the students, the physical health quality values of the students, the extracurricular participation achievement integral values, the score increase values and the comprehensive actual sports values are calculated, and then the comprehensive actual sports values are sent to the feedback module for feedback display; the method comprehensively considers the current score, physical health quality, extracurricular participation and the change trend of the score of the student, comprehensively evaluates the physical condition of the student, dynamically evaluates the campus education performance, and enables the campus physical education score to be more comprehensive and fair.

The invention discloses a sprint intelligent evaluation method and system based on face recognition. The method comprises the following steps: firstly, installing intelligent acquisition equipment at a starting point and an ending point of a runway, and carrying out real-time face snapshot and preprocessing on students by utilizing a high-resolution camera and an edge calculation module; the system adopts a deep learning model to carry out face recognition, compares a captured face image with a student face database, confirms the identity of a target to be detected, and associates running records. At the final position, the system captures the faces of the students and collects running data including duration and speed allocation. And through real-time data processing and statistical analysis, an intelligent evaluation result is generated, and the intelligent evaluation result comprises a personalized exercise analysis report and a real-time ranking list. The problems of low manual timing efficiency, incomplete data recording, lack of real-time feedback and the like in a traditional sprint test are solved, the automation degree and the data accuracy of the test are improved, and a scientific basis is provided for physical education and management.

The invention discloses an auxiliary leg stretching instrument for physical education, and particularly relates to the technical field of auxiliary leg stretching instruments, the auxiliary leg stretching instrument comprises a base, two symmetrically distributed pressing assemblies are fixedly mounted on the front side of the middle of the upper end of the base, and clamping assemblies are fixedly mounted on the sides, away from each other, of the outer surfaces of the two pressing assemblies. According to the leg auxiliary stretching instrument for physical education, by arranging the pressing assembly, when the legs are stretched, the shanks and the thighs can be stretched, the stretching degree can be autonomously adjusted according to the actual requirements of a user, in the subsequent stretching process, the shanks and the thighs can be relaxed, and the stretching effect is improved. According to the leg stretching device, the situation that the legs are pulled after being kept in the stretching state for a long time is avoided, meanwhile, through the arranged clamping assembly, the thighs can be stretched in the using process, the popliteal space part can be supported in the stretching process, and therefore the legs are in the bent and relaxed state.

The invention discloses an intelligent psychological health education system based on an education robot. The system comprises (1) AI family-school cooperation: an improved YOLOv7 algorithm captures classroom behaviors, dynamic Gaussian blur protects privacy, directionally pushes student participation images containing desensitization IDs, supports AI to generate personalized communication verbal skills, and improves the degree of participation of parents; (2) an interdisciplinary fusion engine: constructing a knowledge graph to associate psychological courses with mathematics, sports and other subjects, predicting an optimal fusion opportunity in combination with educational administration data, and generating a double-teacher collaborative teaching plan; (3) interest and emotion driven daily penetration: analyzing student interest labels based on a latent semantic model (LFM), and triggering personalized family task pushing in combination with multi-modal emotion recognition to realize intelligent penetration of psychological health education in a family scene; and (4) full-link privacy protection: adopting differential privacy, block chain and federated learning technologies to realize'all anonymity 'and'availability and invisibility' of data, and ensuring information security through three-level desensitization and quantum encryption, so that the system meets the requirements of'personal information protection method '.

The utility model discloses a physical training device for physical education, which relates to the technical field of sports equipment and comprises a first mounting column, a second mounting column and a cross rod, positioning seats are fixedly mounted on the outer sides of the first mounting column and the second mounting column, and connecting mechanisms are fixedly mounted at two ends of the cross rod. Clamping grooves are symmetrically formed in the inner sides of the positioning seats, and the transverse rod is connected with the clamping grooves of the positioning seats between the opposite faces of the uppermost ends of the first mounting column and the second mounting column in a clamped mode through a connecting mechanism. By the adoption of the structure, when the cross rod is taken out of the positioning seat, only the two shifting blocks on the connecting shell need to be extruded at the same time, so that the shifting blocks move close to each other at the limiting holes of the baffles, and after limiting, the movable plates connected with the shifting blocks drive the clamping blocks to be separated from the clamping grooves of the positioning seat; therefore, the cross rod can be conveniently and rapidly disassembled, assembled and adjusted, and meanwhile, the situation that students move when using the cross rod can be avoided through the installation mode.

The invention discloses a multi-target sports classroom exercise density evaluation method and device under a single view angle and a medium. The method comprises the following steps: S110, a video acquisition and preprocessing stage; s120, constructing a data management framework; s210, constructing an electronic fence; s220, performing human body detection and ROI extraction by using a deep learning model; s230, designing a gridding index mechanism; s240, adopting a video stabilization method based on feature points; s310, designing a multi-target state updating mechanism; s320, establishing an identity mapping table and a target identity feature set; s330, constructing a target tracking model; according to the single-view-angle analysis technology, multi-target motion density evaluation based on a single-view-angle video is achieved, multi-angle camera arrangement is not needed, hardware cost and site requirements are remarkably reduced, the system can conduct off-line or real-time analysis through videos collected by portable devices such as a mobile phone and a common camera, and the analysis efficiency is improved. And the practicability and the universality of the system are greatly improved.

The invention relates to the technical field of data management, in particular to an intelligent physical education data management method and system. The method comprises the following steps: collecting motion video stream data and inertial motion data of a student; uniformly mapping a camera coordinate system of the video stream data and a body coordinate system of the inertial motion data to a world coordinate system; a state space model based on extended Kalman filtering is constructed, and a corrected student three-dimensional skeleton attitude sequence is obtained through iterative calculation; calculating an optimal matching path and a similarity distance between the three-dimensional skeleton posture sequence of the student and the standard action template sequence; and according to the similarity distance, generating a quantized action score. According to the invention, by using the extended Kalman filtering algorithm, integral drift is eliminated while the anti-shielding capability is ensured; meanwhile, an improved dynamic time warping algorithm is introduced, standardized and objective scoring of the motion quality is achieved, and the scientificity, safety and individuation level of physical education are effectively improved.

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 invention discloses ball serving equipment for physical education training, belongs to the technical field of physical training, and aims to solve the problems that continuous feeding is interrupted and impurity particles on the surface of a tennis ball splash to a training area at a relatively high speed due to friction clamping stagnation of the tennis ball in a funnel due to a stacking effect. The device comprises a moving vehicle and an adjusting seat arranged on one side of the moving vehicle, a launching cylinder is fixedly installed on one side of the adjusting seat, and a launching piece is arranged at one end of the launching cylinder. Through the double-pushing design that the launching piece is in linkage with an elastic jacking piece, the phenomena of accumulation clamping stagnation and bridging of tennis balls in a discharging piece are effectively broken through; in the ball pushing process of the pushing piece, impurities on the surfaces of the tennis balls are separated under the action of extrusion and friction and are collected into the collecting box in a centralized mode through the discharging holes, and the safety accidents that the impurities splash along with high-speed tennis ball launching, skin scratching, foreign matter entering eyes and the like are avoided.

1. Name of the product in this design: Sports Teaching Operation Demonstration Device. 2. Purpose of this design: for physical education teaching. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention discloses a first-aid alarm whistle ring device for a campus physical education class, and belongs to the field of first-aid alarm. Comprising a shell, an annular groove is formed in the lower surface of the shell, a mounting plate is arranged on the inner side of the annular groove, a power source is fixedly connected to the upper surface of the mounting plate, and a controller is fixedly connected to the position, located on the left side of the power source, of the upper surface of the mounting plate; a positioner is fixedly connected to the upper surface of the mounting plate and located on the right side of the power supply; according to the device, through the synergistic effect of the core function module, the alarming and positioning functions can be triggered in time when an accident occurs in a physical education class, the audible and visual alarm can quickly attract surrounding attention through double warning of sound and light, the synchronous positioning function can accurately collect the accident occurrence position and push the accident occurrence position to a rescue worker terminal, manual running for notification is not needed, and the working efficiency is improved. The problems that a traditional emergency call mode is low in efficiency and fuzzy in positioning are effectively solved, precious time is won for timely treatment of injured students, and the injury aggravation risk is reduced.

The invention discloses a dance movement testing method, device and equipment based on distributed acoustic optical fibers, a medium and a product, and relates to the technical field of dance movement assistance, and the method comprises the steps: collecting a vibration signal transmitted by a dancer through a pre-constructed dance floor; key features in the vibration signals are extracted, dance motion analysis is conducted on the vibration signals through a signal analysis algorithm on the basis of the key features, and an analysis result is obtained. Therefore, when the dancer dances, the vibration signals sent by the dancer are collected through the pre-constructed dancing floor, then the key features in the vibration signals are extracted, and based on the extracted key features, dancing motion analysis is carried out on the vibration signals through a signal analysis algorithm, so that an analysis result of the motion accuracy of the dancer is obtained. The problem that the actions of the dancer cannot be accurately evaluated and analyzed in a digital sports classroom is solved, and the accuracy of dance action analysis is improved.

The utility model discloses a throwing training device with a motion monitoring function, which belongs to the technical field of sports event training devices, and comprises a motion support frame and a height adjusting slideway, a motion shaft is connected between the motion support frame and the height adjusting slideway, the motion shaft is obliquely arranged, the motion shaft is sleeved with a motion handle, and the motion handle is connected with the height adjusting slideway. The motion handle is a pipeline type sliding pipe, the motion handle penetrates through the motion shaft and can slide along the motion shaft, a wireless motion posture monitoring module is arranged in the motion handle, the wireless motion posture monitoring module is used for monitoring the accelerated speed of the motion handle, the wireless motion posture monitoring module is connected with a microcontroller, and the microcontroller is connected with the motion shaft. The microcontroller is connected with a wireless transmission module, a throwing data monitoring device and a data analysis system which are convenient to install and use are provided, and the training device is small in occupied area, can be operated indoors and is suitable for being popularized and used in physical education.

1. Name of the product in this design: Jump rope handle (intelligent counting jump rope). 2. Purpose of this design: for student physical fitness testing, physical education entrance examinations, fitness training, and sports events. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The present disclosure belongs to the technical field of sports equipment, and in particular relates to a soccer drill table for physical education. In response to the problem that soccer sport cannot be depicted and drilled vividly when soccer teaching is performed via a soccer drill table, formal and clear boundary lines are arranged, allowing a lecturer to explain to students more easily, and helping the students to comprehend rules of a soccer field more clearly and visually; and the delineation of the boundary lines enables the students to better comprehend tactics on the soccer field, helps students know how to better collaborate and cooperate in different areas, and provides the students with clear and definite training objectives.

This utility model provides an adjustable high jump training device for physical education, relating to the field of physical education equipment technology. It includes a base, with adjustment mechanisms symmetrically installed on the top of the base near the left and right sides. A drive assembly is installed inside the base. The adjustment mechanism includes a fixed column welded to the top of the base, and an adjustment assembly installed inside the fixed column. A crossbar assembly is installed inside the adjustment assembly and located inside the fixed column. A reset assembly is installed around the fixed column. Through the coordinated use of the drive assembly, fixed column, and adjustment assembly, the height of the stop lever can be adjusted. Through the coordinated use of a turntable, push plate, fixed plate, rotating shaft, and magnet, the stop lever can be quickly pushed inward after use, bringing the inner ends of the two stop levers close together and completing the connection. Compared to traditional training devices, this greatly improves ease of use and effectively enhances practicality.

This invention discloses an AI-based physical education exam scoring method, belonging to the field of exam scoring methods, including the following steps: (1) activating the cameras deployed in the exam room to collect motion images and facial expression images of the examinee during pull-ups; (2) analyzing the collected facial expression images using AI image recognition technology to divide the exam process into three stages; (3) for each stage, analyzing the examinee's motion images using AI technology to determine whether each pull-up motion is a qualified motion; (4) counting the number of qualified motions in each stage and scoring them separately, adding the scores of the three stages to obtain the examinee's final exam score. This invention can divide the exam into three stages based on facial expression recognition, perform differentiated analysis on the motion characteristics of each stage, better fit the examinee's physical fitness change patterns, and make the evaluation results more targeted.

The invention discloses a swimming training device with a monitoring training function for physical education, and belongs to the technical field of swimming training devices.The swimming training device comprises an anti-skid bottom plate which is placed on the ground in an attached mode, a steel structure support is fixedly installed above the anti-skid bottom plate, and a fixing seat is fixedly installed on the steel structure support; a body supporting plate is elastically and rotationally installed on the fixing base, guide frames are symmetrically and fixedly installed on the two sides of the steel structure support, pushing assemblies for pushing the body supporting plate to elastically rotate are arranged on the guide frames, and an adsorption assembly for improving stability is further arranged on the anti-skid bottom plate. And the body supporting plate controls the adsorption assembly to perform adsorption positioning in the rotating process. According to the swimming training device with the monitoring and training functions for physical education, the body supporting structure is driven to drive the body to conduct synchronous inclination adjustment through arm paddling training, the swimming posture is fully simulated, the equipment stability can be improved through the negative pressure adsorption effect in the using process, and the training safety is enhanced.

The invention provides novel physical education equipment for physical education. The novel physical education equipment structurally comprises a positioning base, a supporting frame, a balancing weight, a tension rope, a rotating shaft, a tension rod and an auxiliary structure. On the basis that an auxiliary structure is additionally arranged on the positioning base, the positions of the partition plate and the limiting block are determined through the magnetic suction plate and the insertion block, so that the balancing weight is separated from one end of the positioning base, and the situation that the head of a trainee collides with the balancing weight due to the fact that the trainee inclines forwards under the tension condition is prevented; the vertical or parallel placement position of the adjusting body can be changed through the detachable effect of the clamping blocks of the adjusting body, so that trainees can carry out standing or lying tension training, meanwhile, position limiting is carried out by combining the cooperation of the protruding blocks and the limiting blocks, and the two ends of the tension rod can be inserted into the containing grooves in the protruding blocks; the tension bar can be temporarily positioned when trainees lie flat for training, so that the effect of slight enthusiasm is achieved, and the use safety coefficient and the multi-directional limiting use effect of the physical education equipment can be improved.