Video-Captured Peripheral Initialization and Haptic Tower
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Solution Overview
Problem
Current VR systems lack individualized, home-use devices that can deliver targeted haptic effects with next-generation realism and virtually zero latency, and they do not employ learning-based approaches to enhance haptic command processing.
Innovation Solution
A modularized haptic system that includes a haptic tower capable of simulating variable airflow and temperature, integrated with a processor and sensors for real-time data processing and actuation, and a learning-based approach to dynamically learn haptic-commanding events and reduce latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual initialization methods are used for peripheral devices, then device pairing can be achieved, but the process is time-consuming and complex requiring multiple steps
Solution Approach 1:
The system creates a digital representation (photograph or video frame) of the physical gaming station and uses image processing to automatically identify and map peripheral devices. This copying approach replaces manual device pairing with automated visual recognition, significantly reducing initialization time and complexity while maintaining accurate device mapping.
2Reliability
If traditional VR systems are used, then basic virtual reality functionality is provided, but they lack individualized home-use devices with targeted haptic effects and zero latency
Solution Approach 1:
The system is divided into modular components: a computing device for image processing, peripheral devices with embedded sensors and actuators, and a haptic control system. This segmentation allows each component to be optimized independently while maintaining overall system integration, enabling high-fidelity haptic effects with zero latency in a home-use configuration.
3Loss of time
If extant systems are used, then basic VR functionality is provided, but they do not employ learning-based approaches to reduce latency in haptic command processing
Solution Approach 1:
The system implements a feedback loop where the computing device continuously monitors sensor data from peripheral devices, processes this information in real-time, and adjusts haptic actuation commands accordingly. This closed-loop feedback mechanism enables the system to learn from ongoing interactions and optimize response timing, reducing haptic latency while maintaining processing complexity at manageable levels.
Data Source
AI summary
A method for an image-captured initialization of an array of devices, said method comprising the steps of: receiving a video stream featuring a plurality of end devices in a gaming station, wherein said end device renders at least one of a lighting, haptic, or air-blowing effect from a specific location within the gaming station; detecting the plurality of end devices by vision processing at least a frame of the gaming station stream; and positioning a virtual representation of the detected end devices on a digital canvas representing a user's physical space based on a tonal frequency-dependent light-emission from a frequency-defined end device.