Camera-Based Peripheral Detection for Mixed-Reality Key Rebinding
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Solution Overview
Problem
Mixed-reality systems often fail to recognize specific peripherals, leading to mismatched keybindings that hinder user interaction, making it awkward and frustrating.
Innovation Solution
A system that uses cameras to identify peripherals, customize keybindings based on peripheral data, and display graphical representations of user interactions within the mixed-reality environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If default keybindings are used for unrecognized peripherals, then system compatibility is maintained, but user interaction becomes awkward and frustrating
Solution Approach 1:
The system automatically detects peripherals and rebinds keybindings without requiring manual user configuration. The camera captures peripheral images, the processor identifies the peripheral type, and the system autonomously configures appropriate keybindings, allowing the system to serve itself rather than requiring user intervention for each new peripheral
Solution Approach 2:
The patent replaces manual peripheral configuration (mechanical interaction with physical keys and menus) with automated optical detection and software-based keybinding assignment. Instead of requiring users to physically navigate menus and assign keys, the system uses camera-based peripheral identification and automated software configuration to achieve the same goal more efficiently
2Reliability
If manual peripheral configuration is required, then keybinding accuracy can be optimized, but user time and effort increase significantly
Solution Approach 1:
The system performs preliminary peripheral detection and keybinding configuration automatically when a peripheral is first connected, before the user needs to use it. By pre-configuring the appropriate keybindings based on camera-based peripheral identification, the system eliminates the need for users to spend time on configuration during actual use
Solution Approach 2:
The system uses camera feedback to detect peripheral presence and type, then automatically adjusts keybindings based on this visual information. The continuous monitoring and automatic adjustment creates a feedback loop that ensures the correct keybindings are applied without user intervention, maintaining high accuracy while minimizing user time investment
Data Source
AI summary
According to one embodiment, a method, computer system, and computer program product for mixed-reality peripheral interfacing is provided. The present invention may include recording, with a camera, video footage of a peripheral held by a user participating in a mixed-reality environment; extracting, by a processor, peripheral data from the video footage; extracting interface data from the video footage; extracting input data entered into the peripheral by the user; responsive to determining that one or more keybindings do not match the peripheral, rebinding one or more keybindings of the peripheral based on the peripheral data; displaying a virtual representation of the peripheral to the user within the mixed-reality environment based on the peripheral data; and displaying a virtual representation of the user interacting with the virtual representation of the peripheral within the mixed-reality environment based on the interface data and the input data.