AR Exercise Board With Wearable Shoe Tracking Feedback
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Solution Overview
Problem
Existing physical training and rehabilitation systems, such as the QUICK BOARD® system, lack integration of wearable devices and augmented reality to provide personalized and comprehensive performance tracking and training recommendations based on user data over time.
Innovation Solution
A system incorporating wearable devices on each shoe to collect data, combined with a camera system and augmented reality, tracks user performance and provides real-time feedback and personalized training recommendations using artificial intelligence and machine learning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wearable devices and augmented reality are integrated into the training system, then measurement precision and personalization are improved, but device complexity increases
Solution Approach 1:
The patent combines multiple data collection methods (wearable devices, camera systems, sensor boards) into a unified training system that processes and integrates data from all sources through a single computing device, resolving the complexity of multi-source integration while maintaining high measurement precision
Solution Approach 2:
The computing device serves multiple functions including data collection, processing, storage, and generation of training recommendations, while the system supports various exercise types and user profiles, achieving personalization without proportionally increasing complexity
2Productivity
If real-time data collection and analysis are implemented, then productivity and feedback timeliness are improved, but use of energy increases
Solution Approach 1:
The system implements periodic data sampling and processing intervals rather than continuous real-time analysis, allowing the computing device to process data in batches during rest periods while maintaining timely feedback, thus reducing energy consumption while preserving training efficiency
Solution Approach 2:
The system automatically processes and analyzes collected data without requiring manual intervention, generating training recommendations and progress reports autonomously, which maintains high productivity while minimizing the energy required for human operation
3Reliability
If multiple data sources are integrated, then reliability and comprehensiveness are improved, but device complexity increases
Solution Approach 1:
The computing device acts as an intermediary that centralizes data processing from multiple sources (wearables, cameras, sensor boards), standardizing and validating data from each source before integration, which ensures data reliability while managing complexity through a single point of coordination
Data Source
AI summary
Systems, methods and computer readable media comprising a virtual exercise board, which is represented by images on the screen of a pad device; wearable devices configured to attach to each shoe of a user and to collect and transmit touch data to the pad device; cameras for tracking movement and calibrating with the data collected by the wearable devices; and computer programs for collecting user data, processing user data, and generating outputs. In embodiments, features include augmented reality; ratings of performance; automated workouts/protocols; real-time progress bar; multi-location database capabilities; and reports.