Medical Gaze Tracker Using Non-Diagnostic Stimuli
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Solution Overview
Problem
Conventional gaze tracking systems for medical diagnostics are limited to laboratory settings and do not provide a full view of a patient's gaze characteristics, relying on artificial stimuli that restrict the assessment of gaze behavior.
Innovation Solution
A method and apparatus that detect and analyze a user's gaze behavior in response to non-diagnostic stimuli, generating an indication of the gaze behavior and stimulus type to determine expected patterns and alert for potential issues, using a processor and memory configuration in devices like gaze trackers and headsets that incorporate object recognition cameras and near eye displays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional gaze tracking systems use artificial stimuli in laboratory settings, then measurement precision is improved, but adaptability is worsened
Solution Approach 1:
The system captures images of real-world stimuli through a camera and processes them to create standardized stimulus representations, effectively copying real-world scenarios into the diagnostic framework without requiring physical artificial stimuli or laboratory settings
Solution Approach 2:
The gaze tracking system is designed to handle multiple types of stimuli (natural scenes, text, images) and perform both diagnostic assessment and continuous monitoring functions, making it adaptable to various real-world contexts while maintaining measurement precision
2Reliability
If gaze tracking is performed in laboratory settings with artificial stimuli, then reliability is improved, but device complexity is worsened
Solution Approach 1:
The system extracts only the essential diagnostic elements from complex laboratory setups by using a camera to capture stimuli and a processor to analyze gaze patterns, eliminating the need for bulky laboratory equipment while maintaining diagnostic reliability
Solution Approach 2:
The patent replaces mechanical laboratory equipment with a software-based processing system that uses image processing and pattern recognition algorithms to analyze gaze behavior, significantly reducing physical device complexity
3Measurement precision
If artificial stimuli are used for diagnostic testing, then measurement precision is improved, but loss of information is worsened
Solution Approach 1:
The system performs preliminary processing of real-world stimuli through image capture and classification before gaze analysis, preserving the natural context and characteristics of stimuli that would otherwise be lost in traditional artificial stimulus approaches
Solution Approach 2:
By capturing and processing images of actual stimuli rather than using artificial representations, the system preserves authentic visual information and contextual details that provide more complete gaze behavior data
Data Source
AI summary
A method to track a user's gaze for medical diagnostics is described. The method includes detecting a gaze behavior of a user in response to a stimulus. The stimulus is a non-diagnostic stimulus. The method also includes determining a type of the stimulus and generating an indication of the gaze behavior and the type of the stimulus. The indication may then be used to generate an expected gaze pattern describing expected gaze behavior to given stimuli. Additionally, the indication may be used to determine whether the gaze behavior is indicative of a potential problem and, in response, an alert may be generated. Apparatus and computer readable media are also described.