9 results about "Competitive sport" patented technology

The invention relates to the technical field of action recognition, in particular to a competitive sports-oriented skeleton trajectory deep learning compensation method and system, and the system comprises a data preprocessing module, a data integrity evaluation module, a core compensation network, a biomechanical rationality optimization module, a personalized habit encoder and an advanced compensation path. Compared with the prior art that a single trajectory compensation model is generally adopted, challenges of shielding scenes of different degrees are difficult to effectively deal with, and the problem of insufficient short-time shielding compensation precision or trajectory distortion under long-time shielding often occurs, an intelligent routing mechanism based on data integrity evaluation is adopted, and the method has the advantages that the complexity is reduced, and the reliability is improved. Through dynamic switching of a basic compensation path and an advanced compensation path fused with personalized prediction, adaptive processing of different shielding scenes is realized, reconstruction precision under short-time shielding is ensured, track rationality and continuity under a long-time shielding scene are remarkably improved through motion trend prediction, and the reconstruction precision is improved. And the practicability and the reliability of the system in an actual competitive environment are enhanced.

The present invention relates to a real-time biometric data visualization system for live sports streaming, integrating physiological performance metrics such as heart rate into live video broadcasts. The system comprises a wearable heart rate monitor, a mobile application for preprocessing biometric data, a backend server for storage and synchronization, and a web-based overlay system for generating dynamic graphical health bar visualizations. Biometric data is transmitted wirelessly via Bluetooth, Wi-Fi, or 5G from the wearable device to the mobile application, where it is filtered for noise and transmitted to the backend server at predefined intervals or when a significant change occurs. The overlay system retrieves this data in real time to render visual exertion levels synchronized with live video streams. This system enhances audience engagement, sports analytics, and coaching insights by providing instantaneous visibility into athlete exertion levels, enabling real-time strategic decision-making and immersive viewer experiences in competitive sports events.

The application provides a method and device for inviting competitive sports match, comprising the steps of: constructing a sports exerciser database, the sports exerciser database storing personal information, participating competitive sports data, competition score data, competition total score Jid value, competitive sports skill level and rank of each sports exerciser; constructing an evaluation system of skill level and rank of each type of public competitive sports; obtaining competition data of both sides after each competitive match; calculating the competition data according to the evaluation system, and updating the skill level and rank of both sides. The application constructs an objective, reasonable and fair comprehensive data analysis and evaluation system for sports exercisers participating in competitive sports, and also builds a platform for sports exercisers to publish demand information of partners and opponents for inviting competitive sports match.

The invention discloses a competition field edge contour vertex extraction method for antagonistic competitive sports, and relates to the technical field of artificial intelligence and computer vision. Aiming at the defects of dependence on manual calibration, low real-time performance and weak anti-interference performance in the prior art, the method comprises the following steps of: presetting inner and outer contours of a site, erecting camera equipment, extracting frames of a real-time video stream, removing human body shielding interference based on target detection, identifying a site instance by utilizing a general instance segmentation model, and performing multi-stage geometric fitting and error correction. And full-automatic high-precision extraction of the vertex of the field edge contour is realized. The method does not need manual intervention, supports real-time processing, is high in anti-interference performance and extraction precision, effectively improves the perspective transformation reliability, and provides a solid foundation for sports event video analysis.

The invention discloses a virtual object control method, a related device, equipment and a storage medium. The method comprises the steps that a first virtual object in a competitive sports virtual scene is displayed, and the competitive sports virtual scene comprises virtual ball props; in response to a ball passing operation for the first virtual object, controlling the first virtual object to execute a target ball catching animation corresponding to the target action type; the target action type is an action type determined on the basis of intervals where various parameters in a space parameter set are located, the action type is used for indicating actions of the virtual object before ball catching and actions of the virtual object after ball catching, the space parameter set comprises a tactical distance, and the tactical distance represents the distance between the first virtual object and the tactical point position. According to the method, the reasonable action type can be selected for the AI player, so that the success rate of ball catching of the AI player and the coherence of tactical connection are improved, and the game experience of players is improved.

The invention relates to the technical field of joint compensation, in particular to a competitive sports-oriented joint trajectory dynamic compensation intelligent analysis device, which comprises a torque fluctuation identification module, a path sudden change switching module, an impact interference identification module, a traction control adjustment module and a trajectory compensation control integration module. According to the method, take-off action stages are divided through joint torque state changes, a trajectory compensation structure is constructed by combining direction offset points in a supporting path, impact interference fragments are extracted based on posture sudden change features, and an action response process is adjusted according to the sequence difference of starting and ending positions in a traction path. The connection process of the trajectory segments is propelled by means of the arrangement relation of the execution nodes, a continuous path system covering a plurality of action conversion nodes is constructed, and the structural matching capacity for direction sudden change, impact disturbance and response delay in the action process is enhanced. And the path ductility, the action coordination and the connection stability of the joint track under the unsteady state motion condition are improved.

The invention discloses an athlete hand posture recognition method and system in a complex environment. The method comprises the following steps: synchronously acquiring multi-modal data through a multi-source data acquisition device to generate an enhanced hand motion data stream; detecting and segmenting a hand region from the preprocessed data by adopting a convolutional neural network based on an attention mechanism; hand region data are processed through a multi-scale spatial-temporal feature extraction network, and short-term motion features, long-term time sequence features and skeleton topological features are extracted and fused into unified feature representation; 3D coordinates of 21 key points of the hand are estimated from the fused features, and post-processing is carried out on an estimation result by applying a physical constraint optimization algorithm; and packaging the optimized hand posture data into a standard data packet, and outputting the standard data packet to an application system in real time. By the adoption of the technical scheme, the hand posture recognition accuracy exceeding 95% can be achieved, high-precision hand posture recognition can be kept in a complex environment, meanwhile, the overall delay of the system is lower than 10 milliseconds, and the strict requirement for real-time performance of competitive sports is met.

The utility model discloses a competitive assembled maze. The maze is composed of a base plate, a baffle assembly, an invisible door assembly and a rotating door assembly. The chassis is formed by splicing a plurality of square modules, and the edge of each module is provided with an insertion hole, so that the components can be conveniently connected and fixed; the baffle, the invisible door and the revolving door assembly can be flexibly combined into various labyrinth layouts by being inserted into the insertion holes of the base plate; the invisible door can be turned over to hide the channel, and the revolving door realizes a rotating function through the turntable, so that the complexity and interestingness of the labyrinth are increased; the utility model aims to create a novel sports project which has Chinese characteristics and adapts to the requirements of modern competitive sports, and meets the diversified requirements of people on healthy and recreational life.