Binocular 3D Brain-Click Detection for Intentional UI Selection
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Solution Overview
Problem
Existing brain-computer interfaces (BCIs) face challenges in accurately distinguishing between passive viewing and active selection of user interface elements, particularly due to the 'Midas Touch' problem where users inadvertently generate actions by simply looking at targets without intending to, and in inferring which stimulus is the object of focus among multiple visual stimuli.
Innovation Solution
The use of a binocular display presenting visual stimuli at different perceived depths allows the BCIs to decode modulation characteristics from EEG signals, leveraging stereoscopic vision to distinguish between passive viewing and intentional selection by detecting changes in vergence and focal distance of the user's eyes, analogous to a 'brain-click' action.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional BCI methods use neural responses to infer focus among multiple visual stimuli, then the system can detect user attention, but it cannot accurately distinguish between passive viewing and active selection
Solution Approach 1:
The patent introduces a new dimension of depth perception using stereoscopic displays. By presenting visual stimuli at different virtual depths (first depth for passive viewing, second depth for active selection), the system enables the BCI to distinguish between viewing and selection intents through depth-based neural response patterns, thereby resolving the inability to differentiate user intent states.
Solution Approach 2:
The patent changes the depth parameter of visual stimuli in the stereoscopic display. By varying the virtual depth (first depth vs. second depth) and associating different modulation characteristics with each depth level, the system creates distinct neural response signatures that allow accurate differentiation between passive viewing and active selection states.
2Adaptability or versatility
If the system presents multiple visual stimuli at the same location, then it can provide multiple options, but it cannot determine which stimulus is the true object of focus
Solution Approach 1:
The patent resolves the focus detection ambiguity by introducing depth as an additional dimension. Multiple visual stimuli are presented at the same two-dimensional location but at different virtual depths (first depth or second depth). The BCI detects which depth plane the user is focusing on through neural responses, thereby accurately identifying the object of focus among multiple options.
3Ease of operation
If eye-tracking techniques are used to monitor gaze, then the system can track eye position, but it still struggles to distinguish intentional selection from inadvertent viewing
Solution Approach 1:
The patent enhances eye-tracking by adding depth perception through stereoscopic displays. While traditional eye-tracking monitors two-dimensional gaze position, this system incorporates the depth dimension by presenting stimuli at different virtual depths. The BCI analyzes neural responses related to depth focus, enabling accurate differentiation between intentional selection (focusing on second depth) and inadvertent viewing (focusing on first depth).
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly enhances precision in differentiating user intent, offering accurate detection of focus changes between visual stimuli, comparable to or exceeding current eye-tracking techniques, and enabling precise measurement of inter-pupillary distance (IPD).
Implementation Method 1
presenting a first visual stimulus to a user's eyes, the first visual stimulus being presented stereoscopically at a first virtual depth perceived by the user's depth perception
Implementation Method 2
Surface EEG makes it possible to measure the variations of diffuse electric potentials on the surface of the skull (i.e. the scalp) of a subject in real-time
Implementation Method 3
detecting changes in vergence and focal distance of the user's eyes
Implementation Method 4
detecting changes in vergence and focal distance of the user's eyes
Data Source
AI summary
A method and system for detecting intentional selection of a user interface element using a binocular display. A first visual stimulus is presented stereoscopically to a user's eyes at a first virtual depth perceived by the user's depth perception and overlapping a first position within a field of view of the user. A second visual stimulus is presented stereoscopically to the user's eyes at a second virtual depth perceived by the user's depth perception and overlapping the first position. Neural signals are obtained from a neural signal capture device configured to detect neural activity of the user. In response to determining, based on the neural signals, that the user's eyes are focused on either the first visual stimulus or second visual stimulus, a computing system is placed into a first state or second state, respectively, associated with the first visual stimulus or second visual stimulus, respectively.