Wearable 360-Degree VR System for Dynamic Event Capture
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Solution Overview
Problem
Current virtual-reality (VR) recording systems, especially 360-degree VR systems, fail to consider the height, weight, and safety aspects of VR devices during dynamic events, limiting their use in capturing and reviewing real-time dynamic activities like sports and training sessions due to their design and physical impact concerns.
Innovation Solution
A 360-degree dynamic event capture and rendering system comprising cameras affixed to wearable objects, a processor, and a non-transitory storage medium that captures and synchronizes video, location, and motion data, including eye movement detection, to create a 360-degree rendering aligned with the user's visual field and perspective, allowing for later analysis and training.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If 360-degree VR devices are designed to capture comprehensive visual data, then the coverage area and measurement precision are improved, but the device weight and height increase, creating safety concerns during dynamic events
Solution Approach 1:
The system divides the visual capture function into multiple separate camera units distributed around the helmet, with each camera capturing a specific field of view. This segmentation allows comprehensive 360-degree coverage while keeping each individual camera unit lightweight and safe for dynamic event wearability.
2Reliability
If VR devices are made more robust to sustain physical impacts, then the reliability during dynamic events is improved, but the device weight and size increase, reducing user comfort and safety
Solution Approach 1:
The system integrates multiple functional components (cameras, processors, storage, GPS, accelerometers) into a single consolidated VR device mounted on the helmet. This merging allows the device to sustain impacts as a unified structure while distributing the weight across multiple small components, maintaining both reliability and wearability for dynamic events.
3Measurement precision
If multiple cameras are added to achieve 360-degree coverage, then the measurement precision and visual completeness are improved, but the device complexity and processing requirements increase
Solution Approach 1:
The system replaces complex mechanical synchronization mechanisms with electronic and computational methods. GPS receivers and accelerometers provide precise temporal and spatial synchronization data, while software algorithms automatically stitch and align video feeds from multiple cameras, reducing mechanical complexity while maintaining high measurement precision.
4Productivity
If real-time processing of multiple video streams is implemented, then the productivity of immediate feedback is improved, but the energy consumption and device heat generation increase
Solution Approach 1:
The system performs preliminary actions by capturing and storing raw video data from multiple cameras during the dynamic event, then processes and stitches the footage after the event concludes. This approach maintains high productivity for training and analysis purposes while significantly reducing energy consumption during the actual dynamic event when the device is worn.
Data Source
AI summary
A dynamic event capturing and rendering system collects and aggregates video, audio, positional, and motion data to create a comprehensive user perspective 360-degree rendering of a field of play. An object associated with a user collects data that is stitched together and synchronized to provide post event analysis and training. Through an interface actions that occurred during an event can be recreated providing the viewer with information on what the user associated with the object was experiencing, where the user was looking, and how certain actions may have changed the outcome. Using the collected data, a virtual realty environment is created that can be manipulated to present alternative courses of action and outcomes.