Head-Mounted Device Gesture Control via Wearable Camera
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Solution Overview
Problem
Head-mounted devices struggle to accurately determine user intent for input between wearable devices and the device itself, leading to confusion and inefficient interaction in virtual or augmented reality environments.
Innovation Solution
Incorporating a front-facing camera and gaze-tracking camera to capture images of wearable devices and user gaze direction, allowing the head-mounted device to configure input reception based on whether the wearable device is within the field of view and the user's focus, and interpreting gestures to perform specific actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the head-mounted device uses camera-based detection to determine user intent, then the accuracy of input destination identification is improved, but the device complexity increases
Solution Approach 1:
The system divides the detection task into two separate camera modules: a front-facing camera for detecting wearable device presence and a gaze-tracking camera for detecting user eye direction. This segmentation allows each camera to specialize in one detection function, improving overall accuracy while keeping individual camera requirements manageable
Solution Approach 2:
The patent introduces an intermediary processing system that receives data from both cameras, determines user intent based on the combination of wearable device detection and gaze direction, and routes input accordingly. This intermediary layer coordinates the information from multiple sensors to resolve user intent accurately
2Adaptability or versatility
If the system integrates multiple camera functions for gesture interpretation, then the versatility of input methods is improved, but the ease of operation deteriorates
Solution Approach 1:
The system dynamically adjusts its interpretation of gestures based on real-time detection of wearable device presence and user gaze direction. The same physical gesture can have different meanings depending on the detected context, allowing the system to adapt to various input scenarios while maintaining intuitive operation through context-aware interpretation
3Reliability
If the head-mounted device continuously monitors camera input to determine user intent, then the reliability of input routing is improved, but the energy consumption increases
Solution Approach 1:
Instead of continuous monitoring, the system uses periodic detection cycles where the cameras capture images at intervals and the processor determines user intent based on these periodic samples. This approach maintains reliable detection of wearable device presence and gaze direction while significantly reducing energy consumption compared to continuous real-time monitoring
Data Source
AI summary
A method performed by a head-mounted device can include, based on a front-facing camera included in the head-mounted device capturing an image of a wearable device, configuring the head-mounted device to receive input via the wearable device, determining that a gesture received by the wearable device includes a request to launch an application, and, in response to determining that the gesture includes the request to launch the application, launching the application.