Multi-venue VR Movement Tracking System
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Solution Overview
Problem
Athletes and their clinicians face challenges in quantifying and tracking physical performance improvements across multiple venues, especially when working with different trainers and training at various locations.
Innovation Solution
A system that uses standardized movement tracking hardware across multiple venues, with venue-specific user interfaces (portals) to collect and analyze data, integrating clinical, gym, and home-based workout information into a unified cloud-based profile for holistic performance tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple venues use different tracking systems and interfaces, then each venue can be optimized for its specific purpose, but data integration and holistic performance tracking become difficult
Solution Approach 1:
The patent implements a universal data structure and communication protocol that enables different venue-specific tracking systems (clinical, fitness, performance) to exchange and integrate data through a common interface. This allows each venue to maintain its specialized functionality while contributing to a unified user profile across all venues.
2Loss of information
If a unified tracking system is implemented across all venues, then holistic performance tracking is achieved, but flexibility for venue-specific requirements is reduced
Solution Approach 1:
The system segments the tracking architecture into modular components: venue-specific data collection modules, a standardized data exchange layer, and a unified analytics platform. This segmentation allows each venue to customize its data collection while maintaining compatibility with the overall system through standardized interfaces.
3Measurement precision
If detailed venue-specific data is collected, then comprehensive performance analysis is possible, but system complexity and data management burden increase
Solution Approach 1:
The patent introduces an intermediary data normalization layer that translates diverse venue-specific data formats into a unified structure. This intermediary component handles data standardization, validation, and integration, reducing the complexity burden on individual venues while enabling comprehensive performance analysis across all data sources.
Data Source
AI summary
A system that tracks physical activity over multiple venues to assess and track the performance of a user. Physical assessments from the different venues is tracked in a same profile of a user that is stored in, for example, a cloud-based system. The progress of the user is tracked, analyzed, and reported to facilitate a holistic tracking of progress towards personal and clinical goals.