Modular,Multi purpose,Smart Soccer Rebounder LED display,Multi-source AI with Real -Time feedback,performance Tracking and Skill Development
Abstract
The invention presents an advanced soccer training system designed to revolutionize traditional practice methods through a synergy of technology and interactivity. It features an integration of sensors, Artificial Intelligence, and Augmented Reality technologies, providing real-time feedback, immersive simulations, and personalized training experiences. The system promotes skill development via data-driven insights and dynamic training environments, supported by mobile application connectivity for customized training regimens and performance analysis. Additional attributes include energy-efficient design, user-friendly transport mechanisms, and extensive multimedia capabilities like video recording and photo capture for skill review, establishing a novel paradigm in athletic training and development.
Claims
exact text as granted — not AI-modified1 . An interactive soccer training system and device comprising: a plurality of integrated sensors for tracking and analyzing user performance metrics, including movements and ball trajectory; an artificial intelligence (AI) module configured to process performance metrics in real-time, providing personalized feedback and adaptive training recommendations; Augmented Reality (AR) capability for immersive, interactive training experiences and game scenario simulations; a communications module facilitating inter-device connectivity, supporting synchronous multi-unit environments and wearable integration for single or group training environments; and an integrated power management system that optimizes energy usage, extends battery life, and enables autonomous, off-grid operation through advanced solar charging technology and an AI-powered energy optimization module that analyzes solar and battery data for efficient power allocation and usage.
2 . The soccer training device as claimed in claim 1 , wherein the AI and machine learning algorithms analyze performance data, deliver customized feedback, adjust training modules based on user proficiency and progression, generate context-aware, natural language audio feedback and coaching recommendations based on real-time analysis of player movements and ball tracking data, utilize transfer learning to rapidly adapt AI models to new users for quick skill assessment and personalized feedback, and employ anomaly detection techniques to identify deviations from optimal technique or movement patterns, facilitating targeted feedback and recommendations.
3 . A system for use with the soccer training device of claim 1 , wherein a set of wearable impact sensors are configured to precisely detect and transmit data on which foot strikes the ball at any given time during use and training, the wearable impact sensors provide data on kicking technique and other relevant biomechanics, a haptic feedback mechanism is integrated into the wearable, and advanced inertial measurement units (IMUs) are used in the wearables to provide detailed data on foot movement, leg swing arc, and other biomechanical parameters for comprehensive analysis and feedback generation.
4 . The soccer training device as claimed in claim 1 , further comprising: customizable LED displays and interactive lighting for dynamic training guidance; a light sensor system utilizing photodiodes, photo capacitors, and photoresistors to register ball impacts and facilitate user interaction; and the synchronization of audio cues with the visual LED guidance and AR elements to create cohesive, immersive training experiences that enhance learning and retention, wherein the timing and content of the audio feedback is optimized by AI based on user attention, cognitive load, and specific training context.
5 . The soccer training device as claimed in claim 1 , wherein the AR module simulates realistic game environments and training challenges, integrates with AR wearables, seamlessly integrating virtual elements into the physical training space, enriching the physical training space with virtual game elements, and incorporates AI-driven adaptive difficulty adjustment and dynamic training scenario generation based on player performance and progress within the AR environment.
6 . The soccer training device as claimed in claim 1 , wherein the rebounder has wheels on both ends for easy portability, movement, or relocation suitable for diverse terrains; features retractable and foldable or bendable handles for easy carrying and stabilization when in use or training; includes integrated compartments for electricals, and storage of sports and personal essentials, wherein access to the internal compartments is facilitated by a zipper mechanism and a coupling system that ensures secure closure during dynamic activities and transport; and the modular and portable design, along with the secure storage solutions, allows for easy transportation, setup, and adaptation to various training locations without the need for dedicated infrastructure while safely housing essential equipment and belongings.
7 . The soccer training device as claimed in claim 1 , including integrated solar panels for autonomous energy harvesting and battery charging, an energy system for efficient energy management and sustainable operation, a kinetic energy collection system utilizing piezoelectric sensors for sustainable operation, and intelligent power allocation and energy optimization algorithms that adapt to usage patterns, environmental conditions, and training demands to ensure efficient and sustainable operation.
8 . The soccer training device as claimed in claim 1 , further comprising a mobile application or software allowing users to customize training sessions, enabling remote control, performance data visualization, media editing and sharing, and user profile management; programmable difficulty levels and training modes, including the creation of user-defined light sequences as targets and training games; and the incorporation of AI-powered data analytics and visualization tools within the mobile application to provide users with detailed insights, performance trends, and personalized improvement recommendations.
9 . The soccer training device as claimed in claim 1 , further comprising strategically placed LiDAR and motion sensors for comprehensive data collection on players' full body movements and other athletic biomechanical data, and the fusion of data from multiple sensors, including LiDAR sensors, cameras and wearables, to create a comprehensive, 360-degree understanding of player movements and enable precise, real-time feedback generation.
10 . The soccer training device as claimed in claim 1 , further comprising integrated capabilities for video recording and photography, supporting direct sharing and analysis via associated software, and the integration of AI-driven video analysis capabilities to automatically highlight key moments, generate performance metrics, and provide actionable insights based on the captured media content.
11 . The soccer training device as claimed in claim 1 , including coordinated and synchronized LED lighting and auditory signals for immersive training scenarios, replicating game-like conditions during solo or multiplayer training, and the use of advanced audio processing techniques, such as beam-forming and noise cancellation, to ensure clear and intelligible audio feedback even in noisy outdoor environments.
12 . The soccer training device as claimed in claim 1 , enabling a media uploading and customization module enabling users to incorporate personalized visual elements into target sequences and displayed content, allowing educational content or gamification of the rebounder, and the ability to integrate third-party content, such as training drills, tactical simulations, and interactive games, into the rebounder's display system to enhance the versatility and engagement of the training experience.
13 . A system for use with the soccer training device as claimed in claim 1 , wherein an upright docking station and charging dock are provided for secure storage and charging of the rebounder when not in use, and the incorporation of smart features in the docking station, such as automatic software updates, data synchronization, and diagnostic checks, to ensure optimal performance and reliability of the rebounder.Join the waitlist — get patent alerts
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