VR Headset Biometric Feedback for Immersive Interaction
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Solution Overview
Problem
Current virtual reality interfaces rely on traditional mechanisms and fail to effectively capture user biofeedback, such as concentration, which limits immersive interactions with virtual objects.
Innovation Solution
The system uses a combination of gaze tracking and electroencephalography (EEG) signals, processed by a trained machine learning model, to determine user concentration on virtual objects within a virtual environment, rendering graphical indicators and allowing for interactive actions through controller inputs and gestures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional interface mechanisms are used for VR interactions, then device complexity is reduced, but user immersion and interaction effectiveness deteriorate
Solution Approach 1:
The patent combines multiple sensing modalities (gaze tracking, EEG signals, depth focus detection) into a unified interaction system. This merging of biometric feedback mechanisms enables more effective and immersive user interactions with virtual objects, resolving the contradiction by integrating complex sensors into a cohesive system that enhances adaptability without proportionally increasing overall system complexity
Solution Approach 2:
The patent introduces biometric feedback signals as intermediaries between the user and the virtual environment. These signals (gaze direction, EEG concentration levels, focus depth) serve as mediators that translate user intent into virtual object interactions, enabling more effective communication between user and system while managing the complexity through standardized intermediary interfaces
2Measurement precision
If biometric feedback detection is added to VR headset, then user concentration detection is improved, but device complexity increases
Solution Approach 1:
The VR headset is designed with multi-functional sensors that serve multiple purposes. The same sensors detect gaze direction, focus depth, and EEG signals for concentration measurement. This universal approach allows the system to achieve precise concentration detection without proportionally increasing device complexity, as existing structural components are leveraged for multiple measurement functions
Solution Approach 2:
The patent implements a nested sensor architecture where EEG electrodes and gaze tracking cameras are integrated within the existing VR headset structure. The biometric sensors are embedded within the headset's housing and optical paths, allowing concentration detection capabilities to be nested within the existing device framework rather than requiring separate external equipment
3Loss of information
If multiple sensors are integrated in VR headset, then biofeedback capture is improved, but ease of operation deteriorates
Solution Approach 1:
The system operates autonomously by continuously monitoring biometric signals without requiring user intervention. The gaze tracking, EEG detection, and focus measurement occur automatically, with the system processing signals and triggering virtual object interactions without the user needing to manually activate or adjust settings, thereby maintaining ease of operation despite multiple integrated sensors
Data Source
AI summary
A method is provided, including: rendering a view of a virtual environment through a virtual reality (VR) headset; detecting a gaze direction of a user that wears the VR headset; detecting a gaze focus depth of the user that wears the VR headset; detecting an electroencephalography (EEG) signal of the user that wears the VR headset; using the gaze direction and gaze focus depth of the user to identify a virtual object in the virtual environment as being actively viewed by the user; using the EEG signal to determine a concentration of the user upon the identified virtual object; responsive to determining the concentration of the user upon the identified virtual object, then rendering a graphical indicator applied to the virtual object in the view of the virtual environment.