284 results about "Athletes" patented technology

The invention discloses an analysis method and system for AI recognition of physical exercise trajectory data. The method comprises the following steps: step 1, constructing a space-time-environment-biological feature fusion network, integrating collected multi-source data, capturing association of trajectory coordinates, skeleton joint angles and electromyographic signals, constructing a space-time dynamic graph, and comprehensively sensing the influence of a dynamic environment on a motion trajectory; 2, introducing a generative adversarial network to simulate extreme environment interference, and improving model robustness; forcing the model to learn a defensive decision through physical layer disturbance and behavior layer disturbance; distinguishing a real track from a generated track by using a discriminator, and trying to cheat the discriminator by a generator to enable the model to adapt to a noise environment; 3, cross-athlete skill migration is conducted, a parameter freezing strategy and dynamic weight adjustment are adopted, the basic exercise mode recognition capacity is reserved, and meanwhile individual differences are adapted; and step 4, in combination with deep reinforcement learning and an interpretable rule engine, carrying out instant tactical adjustment, and generating an action through a DRL strategy network.

The invention provides a throwing action real-time guidance method based on causal inference and self-adaption, and the method comprises the steps: synchronously collecting the kinematics and electromyography data of an athlete through a multi-mode sensor, constructing and applying a dynamic causal graph model which integrates biomechanical priori knowledge and online self-adaption capability, processing the data in real time to generate deep causal enhancement state representation; and based on the model, performing autoregressive pre-judgment on the future motion trajectory of the athlete, and performing quantitative evaluation on the pre-judged trajectory by using a multi-objective cost function integrating athletic performance, injury risk and technical style. When the evaluation cost exceeds an intervention threshold value, a risk source is traced back to determine a kinematic error, and an error correction instruction is generated according to a preset error-instruction mapping relation; the fatigue state of an athlete is monitored in real time, model parameters are finely adjusted on line, a correction instruction is transmitted to the athlete in real time, and prospective and personalized intelligent guidance is achieved.

The invention relates to the technical field of kayak motion evaluation, and discloses a kayak motion posture evaluation method based on vision. The method comprises the following steps: synchronously acquiring dynamic image data of an athlete in different exercise stages through a multi-angle image acquisition device, and constructing an original exercise posture data set; key frame extraction and preprocessing are carried out on the dynamic image data, and a multi-dimensional visual feature space is constructed based on the preprocessed data; constructing and training an attitude quality evaluation model by using the space, and extracting attitude evaluation indexes; establishing a corresponding relation between the kayak motion posture scoring grade and the evaluation index; obtaining real-time training image data, obtaining a dynamic self-adaptive attitude evaluation index by combining with the model, and further obtaining a real-time attitude scoring grade; and if the grade is lower than a preset standard value, generating a posture adjustment suggestion. The method can capture attitude information in multiple dimensions, forms objective evaluation, feeds back and adjusts the direction in real time, and is suitable for kayak exercise training scenes.

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 belongs to the technical field of exercise training and analysis, and particularly relates to an intelligent badminton action analysis system and method based on a motion sensor, and the system comprises a sensor data collection module, a real-time data processing module, an action recognition analysis engine, an intelligent data storage module and a visualization module. The method comprises the following steps: receiving and buffering sensor data in real time; periodically extracting data segments by using a sliding window to carry out multi-feature (an acceleration peak value, an angular velocity peak value, a peak value ratio and the like) calculation; based on a predefined multi-feature threshold rule set, identifying action types (such as kicking, flat ball drawing and the like) and evaluating the quality; an intelligent strategy is adopted to selectively store data so as to optimize the system load; and finally, a result is visually fed back in real time. The method realizes objective, quantitative and real-time analysis of badminton actions, has the advantages of high recognition accuracy, high system real-time performance, efficient data processing and the like, and is suitable for autonomous training of athletes and auxiliary guidance of coaches.

The invention relates to the technical field of intelligent exercise evaluation, and provides an artificial intelligence-based athlete total element evaluation system, which comprises a data acquisition device for acquiring multi-element data of an athlete; the data preprocessing and analysis module is used for preprocessing the collected multi-element data, extracting key features for different types of data and performing integration processing to form a fusion feature vector containing multiple elements; the AI comprehensive evaluation module is based on the fusion feature vector, and an artificial intelligence algorithm is used for integrating all elements to obtain an evaluation result of the athlete; and the result output and feedback module provides the result to a coach, an athlete or a manager in a visual form for decision support. The overall architecture of the system adopts a layered modular design, comprehensive, objective and scientific comprehensive evaluation of athletes is realized through deep fusion of an artificial intelligence technology, and accurate data support and decision basis are provided for coaches, athletes and managers.

The invention relates to the technical field of data processing and artificial intelligence, and particularly discloses a basketball player sport injury risk prediction and rehabilitation training planning system. The system comprises a multi-source data fusion sensing layer, an injury risk dynamic assessment engine, a rehabilitation planning adaptive generator and a man-machine collaborative interaction execution module. Multi-source data of physiology, biomechanics and the like are collected and fused in real time, the damage risk is dynamically evaluated through a depth time sequence diagram neural network, a self-adaptive rehabilitation training prescription is generated based on hierarchical reinforcement learning and a digital twinning model, meanwhile, the execution process is monitored, safety intervention is conducted, and the rehabilitation training accuracy is improved. Personalized dynamic adjustment and safe closed-loop management of the rehabilitation plan are realized, and the rehabilitation effect and safety are improved.

The invention provides a tennis player sport injury risk early warning analysis method, which comprises the following steps of: preprocessing acquired multi-dimensional sport data, accurately modeling time sequence dependence and dynamically focusing key features by utilizing a model architecture combining a long-short term memory network and an attention mechanism; through interpretability constraint loss function and Grad-CAM thermodynamic diagram visualization, high-risk action stages and key features are automatically extracted from a model decision path, a causal analysis interpretation report is generated, and finally real-time prediction and interpretation of damage risk levels are realized. According to the method, the accuracy of risk identification, the interpretability of model output and the adaptability of actual deployment are effectively improved, and scientific auxiliary decision making of coaches and medical teams is facilitated.

The invention relates to a method for calculating the change in the anaerobic energy balance ΔW(t) of an athlete over a time interval ∆t. The method comprises the following steps: determining the power output P(t) of the athlete during the time interval ∆t; determining the athlete's critical power CP(t) at time t, calculated from historical power output data P(t) collected during the athlete's sporting activities; and calculating the change in the anaerobic energy balance ΔW(t) according to the formula: ∆W(t) = (CP(t) - P(t)) × v(t) × ∆t, where v(t) is the energy flux rate. Abstract figure: Figure 2

The invention provides a video data processing method, system and device for sports events and a medium. The method comprises the following steps: firstly, extracting shallow semantic features and deep semantic features of each frame of image in video data; determining the perceptual attention of the track contour features during the movement of the target athlete according to the movement association relationship of the track pixels in the movement process of the target athlete and the difference degree of the semantic segmentation mask information between the adjacent image frames; determining significant factors of track behavior characteristics when the target athlete moves according to the behavior dependency relationship of the target athlete and the global trend information of the motion track of the target athlete in the video data; performing feature cascade fusion on the trajectory contour feature and the trajectory behavior feature according to the perceptual attention and the saliency factor to obtain a cascade fusion feature, and performing label processing on the motion trajectory of the target athlete in the video data based on the cascade fusion feature. By adopting the scheme of the invention, the feature fusion of the contour and the behavior during the motion can be realized in the label processing of the video data.

The invention discloses a method and a device for analyzing running exercise conditions. The method comprises the steps that inspection data and test data are collected through a sensor laid on a runway, the inspection data are used for obtaining a stiffness coefficient and a baseline offset, the test data are used for obtaining a plurality of accelerations, and an acceleration time curve is obtained; basic parameters are obtained, wherein the basic parameters comprise the weight, time and stride frequency of an athlete; according to the acceleration and the basic parameters, obtaining a step length, an acceleration change rate, a data relationship between the acceleration and the step length and a data relationship between the acceleration and a stride frequency; acceleration ability and dynamic performance are evaluated, and athlete ability is optimized. Through the method and the device, the problem of incomplete analysis of running conditions of athletes in related technologies is solved.

The invention discloses a motion quality evaluation method based on fine-grained space-time alignment, and relates to the technical field of motion quality intelligent evaluation, and the method comprises the steps: inputting a query sequence and a reference sequence into a shared space-time feature extractor, and carrying out the processing; establishing a space-time corresponding relation; and completing exercise quality evaluation. According to the method, the interpretability, fairness and practicability of exercise quality evaluation are remarkably improved, and the crossing from a black box total score to a transparent diagnostic report is realized; the scoring precision is improved, specific and operable improvement suggestions can be provided for athletes and coaches, and high-order application requirements in competitive training and rehabilitation guidance are practically met.

The present application relates to the technical field of real-time snapshot of highlight pictures, and particularly relates to a real-time snapshot method of highlight pictures based on artificial intelligence. The method comprises the following steps: collecting physiological data and sports data of athletes; obtaining explosive power score, concentration score and attention score of athletes; setting a threshold range, defining the moment when the explosive power score, concentration score and attention score exceed the threshold range as a highlight moment; and taking a snapshot of the highlight picture. The present application can more accurately evaluate the explosive power performance of athletes by collecting their physiological data and sports data. The concentration score of athletes can be accurately evaluated by collecting their facial expression data in real time. The attention of the audience can be analyzed by pattern recognition algorithm through real-time collection of the sound and body data of the audience, thereby adding a new dimension to the identification of highlight moments. The intelligences camera technologies such as phase detection auto focus and pan-tilt automatic adjustment are integrated to ensure the clarity and continuity of the highlight pictures.

Systems and methods are provided for injury characterization including detecting matches of an individual subject's record (such as an athlete's record) with collections of other subjects records, based on serial, longitudinal patterns, for facilitating athlete health and training, preventive and rehabilitation medicine, and risk management in athletics. In an embodiment, time series are formed from information pertaining to successive longitudinal episodes of injury and the circumstances in which the injuries were incurred; calculating time-series K-nearest-neighbor clusters and distances for each such combination; determining the cluster to which a given candidate player injury record is nearest or belongs, and prescribing an injury-risk reduction intervention specific to the plurality of hazards that are characteristic of trajectories that are members of that cluster and that are deemed to be relevant to reducing or mitigating those hazards and thereby are efficacious in preventing subsequent injuries that are prevalent in that trajectory cluster.

The automatic starting device used for training the starting skill can send out a starting password after waiting for random time to help athletes to increase the response speed and avoid the problem that the athletes start by pressing guns.

A prebiotic oligosaccharide composition for use in reducing branched short chain fatty acids (BSCFAs). The composition comprises oligosaccharide compounds, for example galactooligosaccharide compounds, which includes: (a) at least 8 wt % Gal-(β1-3)-Gal-(β1-4)-Xa; (b) at least 3 wt % Gal-(β1-3)-Gal-(β1-3)-Xb; and (c) at least 5 wt % Gal-(β1-3)-Gal-(β1-2)-Xc, based on the total weight of oligosaccharide compounds present in the composition; wherein Xa, Xb and Xc are each independently selected from monosaccharides. These compositions contain relatively high amounts of the oligosaccharide compounds (a), (b) and (c) and a relatively high amount of β1-3 Gal-Gal linkages, compared to known oligosaccharide compositions. The present invention also relates to a composition comprising oligosaccharide compounds for administration to the athletes and / or sports persons who are undergoing and / or are about to undergo physical training, and in particular those athletes and / or sports person on a high protein diet. A method of preparing said composition and the use of said composition as a dietary supplement or a medicament are also disclosed.

The present application relates to the technical field of injury early warning, in particular to a taekwondo athlete injury early warning management method and system, the steps comprising: acquiring the transient chest wall stress wave signals collected by the inner side sensor array of the uniform, the absolute time stamp information of each time of being hit and the baseline systolic pressure data; calculating the time interval of two consecutive times of being hit according to the absolute time stamp information and determining the correction coefficient of the frequency of being hit per unit time; performing time domain square root integral processing on the transient chest wall stress wave signals to obtain residual stress wave characteristic energy values; based on the energy values, the correction coefficient of the frequency and the baseline systolic pressure data, using the tissue fatigue accumulation model to dynamically superimpose and solve to generate the time domain strain cumulative damage factor; comparing and judging it with the preset safety damage threshold in real time; if greater than or equal to the threshold, generating the chest wall occult injury early warning instruction and sending it to the coach terminal for visual early warning. The present application realizes the chest wall occult fatigue damage accumulation quantification and individualized accurate early warning.

The invention belongs to the technical field of physical training equipment, and particularly relates to a portable diving spray suppression training device.The portable diving spray suppression training device comprises a bottom plate, the upper surface of the bottom plate is fixedly connected with a mounting box, and an action posture analysis module and a spray simulation and parameter comparison module are arranged and can be combined with a pressure sensor on an elastic springboard and a high-definition camera on the bottom face; and the inertial measurement unit on the vertical rod is used for collecting key data such as pressure distribution, air attitude angle and water entry moment track when the athlete jumps in real time and comparing the key data with standard water spray suppression parameters, the data are displayed in real time through the LED control screen, and the athlete can intuitively know the problems such as self action deviation and air body attitude imbalance. Through matching of the hydraulic cylinder at the bottom of the bottom plate, the universal wheels and the push rod on the right side, the device can be easily moved to a venue, an outdoor temporary training point and even a pre-racing adaptive site, the stability during training can be ensured through brake devices of the universal wheels and balancing weights on the bottom plate, and the displacement risk is avoided.

The utility model relates to the technical field of sports competition body protection articles, and particularly discloses a free combat confrontation protection tool with a hit prompt function, which comprises a protection tool body, straps corresponding to shoulders of a human body are arranged at the upper end of the protection tool body, a waist binding belt and a binding buckle are arranged on two sides of the protection tool body, a plurality of shockproof combinations are arranged on the protection tool body, and the shockproof combinations are arranged on the protection tool body. Wherein at least one shockproof combination is set as a striking point, the striking point of the shockproof combination is provided with an intelligent touch switch or a hit identifier for manual judgment, the intelligent touch switch is connected with an information receiving device through an information transmitting device, the information receiving device is connected with an indicating device, and the indicating device is connected with a display device. The system is high in automation degree, can carry out data interaction and transmission in real time, meets the requirements of the informatization era, can also be used for testing the skill and ability of athletes, and facilitates the improvement of the ability of a tested person.

The present application relates to the technical field of training scheduling, in particular to a basketball training intelligent scheduling system, which comprises a performance deviation analysis module, a health condition evaluation module, a training scheduling adjustment module and a training effect analysis module. The present application analyzes the training performance data of athletes, identifies their specific weaknesses in skills, reasonably evaluates the importance of each skill according to the role played by athletes in the team, sorts the training priorities, ensures the optimal allocation of training resources, discovers health problems or potential injury risks in time by comparing the physiological data of athletes with the average level of athletes in the same position, makes the training adjustment more scientific and safe, continuously monitors the training effect and analyzes the effect, enables the coach to quickly capture possible problems in training, adjusts the strategy in time, effectively avoids excessive or insufficient training, and improves the safety and effectiveness of training.

A system is provided.SOLUTION: A system including means for learning motion data of a professional athlete, means for receiving a moving image of a captured sport motion, means for preprocessing the received moving image data and extracting a feature amount, means for comparing and analyzing the received moving image data with motion data of a professional athlete using the extracted feature amount, means for generating specific advice based on an analysis result, means for generating a comparison moving image in which a current form and an ideal form are superimposed, and means for outputting the generated advice and the comparison moving image.SELECTED DRAWING: Figure 1

A system is provided.SOLUTION: A system comprising: means for collecting performance data of an athlete; means for performing a biomechanical analysis to identify abnormal movements and loads; means for suggesting a personalized training program based on the analysis; and means for providing real-time advice and care to the athlete.SELECTED DRAWING: Figure 1

1. Name of the product in this design: Cryotherapy Machine (with Ladder). 2. Purpose of this design: This design is intended for use in athlete rehabilitation, fitness therapy, and health preservation. 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 invention relates to the technical field of sports science and man-machine interaction, and discloses a big data-based athlete health assessment method, which comprises the following steps of: collecting and preprocessing multi-source heterogeneous data; generating a structured data set, and performing feature extraction and dimension reduction to obtain a time sequence feature subset and a key feature subset; constructing a multi-modal fusion health assessment model, and outputting a comprehensive health index; performing grading and dynamic early warning on the health state; carrying out self-updating and personalized calibration on the health assessment model; through multi-source data fusion, athlete physiological index data, exercise load data, environment parameter data and recovery behavior data are integrated, and the limitation of single index evaluation is broken through; meanwhile, through dynamic time sequence modeling and personalized calibration, the lagging effect of the health state is captured through LSTM, the accuracy of risk assessment is improved, and based on individual baseline data standardization features, assessment deviation caused by physiological differences of different athletes is solved.

The application provides a kayak athlete power output coordination control method, comprising: collecting the paddle water entry depth, the angle of attack deflection angle, the athlete power time and the hull acceleration, obtaining the complete record containing the paddle track arc and the hull acceleration change; according to the change of the straight line track and the arc track when the hull accelerates, the angle of attack deflection angle is extracted, the deviation degree of the angle of attack deflection angle and the effective propulsion angle range is evaluated, and the proportion of energy loss caused by the lateral component force under different deviation degrees is identified; according to the power output timing coordination score, the smoothness of the power transmission among the athlete, the paddle and the hull is analyzed, and the stability of the transmission efficiency in the acceleration stage is identified after removing the interference signal; according to the track optimization direction adjustment training system collection setting, the track optimization direction is returned to the collection density adjustment link, and the time interval setting of the next data collection is determined.

The invention discloses a probiotic composition, fermented yoghurt and application of the probiotic composition and the fermented yoghurt in improving related indexes of athletes. The probiotic composition comprises bacillus subtilis SP-8-5, lactobacillus plantarum YM-4-3, lactobacillus plantarum AY01 and pediococcus acidilactici LH01. The composition of intestinal microbial populations can be adjusted through a specific compounding method, the abundance of harmful bacteria is reduced, the abundance of beneficial bacteria is improved, the immunity of intestinal tracts is enhanced, and the integrity of intestinal barriers of athletes is maintained. Meanwhile, the composition has a positive improvement effect on related exercise indexes such as plasma amino acid, excrement metabolites and exercise performance, and can be used as an effective exercise supplement to be applied to athletes.

An object of the system according to the embodiment is to grasp movement of a line of sight or consciousness of an athlete or an instructor in detail and to compare the movement with that of the athlete or the instructor.SOLUTION: A system includes a line-of-sight recording unit, an analysis unit, an acquisition unit, and a comparison unit. The line-of-sight recording unit records the movement of the line of sight. The analysis unit analyzes the data recorded by the line-of-sight recording unit. The acquisition unit acquires biological information data of a user. The comparison unit compares the analysis result obtained by the analysis unit with the biological information data of the user.SELECTED DRAWING: Figure 1

A system for automatically monitoring activity on an athletic activity area is provided. The network device includes artificial intelligence configured to automatically identify objects and gestures from video received from cameras disposed at the activity area. The artificial intelligence automatically edits the video based on objects and gestures identified from the video and generates a video file including predetermined objects and gestures. The artificial intelligence may generate a video including each trial completed by a particular athlete and may provide the video automatically to the player or a third party.

The system according to the embodiment aims to enable athletes to receive appropriate training and care without receiving specialized instruction. [Solution] A system according to an embodiment includes a recording unit, an analysis unit, and a provision unit. The recording unit records videos or photos. The analysis unit analyzes the information recorded by the recording unit. The provision unit provides advice based on the analysis results obtained by the analysis unit.