XR Microphone Control Using Non-Dominant Hand Gestures
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Solution Overview
Problem
There are privacy concerns with integrating a microphone into a head-wearable device, such as accidental continuous recording beyond user intent, necessitating an intuitive and easy way to enable/disable the microphone.
Innovation Solution
Utilizing non-dominant hand gestures, like pinching or closing the fingers to control microphone activation/deactivation, allowing the dominant hand to perform primary actions within the XR experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a microphone is integrated into the head-wearable device, then voice input capability is improved, but privacy risks increase due to potential accidental continuous recording
Solution Approach 1:
The system performs preliminary action by continuously monitoring hand gesture data from cameras to detect user intent before activating the microphone. The processor analyzes hand gesture sequences in real-time and only triggers microphone activation when a specific gesture (such as touching the temple area) is detected, preventing accidental recording while maintaining voice input capability.
2Ease of operation
If the dominant hand is used to control microphone activation, then ease of operation is improved, but the dominant hand is occupied and cannot perform primary actions in the XR environment
Solution Approach 1:
The system applies asymmetry by assigning different functions to different hands: the non-dominant hand (or temple area) is dedicated to microphone control gestures, while the dominant hand remains free for primary XR interactions. The camera system specifically monitors the temple area or non-dominant hand gestures, creating an asymmetric control scheme that optimizes both microphone accessibility and XR productivity.
3Object-affected harmful factors
If hand gestures are used to control microphone activation, then privacy control is improved, but device complexity increases due to additional sensors and processing
Solution Approach 1:
The system achieves universality by using the existing camera modules already present in the head-wearable device for both XR environment rendering and hand gesture recognition. The same image processing capabilities and processors that handle XR graphics also analyze hand gesture data, eliminating the need for separate dedicated gesture sensing hardware and reducing overall device complexity while maintaining privacy control.
Data Source
AI summary
A head-wearable device may provide an eXtended Reality (XR) experience that allows the user to control certain aspects of the experience with their hands. Specifically, one of the user's hands will be delineated as the dominant hand, while the other hand will be delineated as the non-dominant hand. Gestures made with the dominant hand will be used to interact with the head-wearable device to perform “primary” actions within the XR experience. These primary actions may vary from experience to experience but generally will involve actions taken to link the real-world environment to the head-wearable device, such as touching or gesturing towards real-world objects, and to perform main actions within a user interface displayed by the head-wearable device, such as selecting on search results, moving search results, etc. Enabling or disabling a microphone will be performed using the non-dominant hand, freeing up the dominant hand to perform the primary actions.