Gaze Point Detection for Cognitive Impairment Evaluation
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Solution Overview
Problem
Current methods for evaluating cognitive and brain functional impairment are limited by low accuracy due to chance correct answers and operational errors, making it difficult to assess cognitive abilities effectively.
Innovation Solution
An evaluation device and method that uses a display to show task target objects, instruction information, and comparison objects, detecting gaze points to determine if they fall within specific feature areas, calculating gaze point transition data to obtain evaluation data, thereby improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a subject selects an answer by operating a touch panel, then the evaluation can be performed, but the evaluation accuracy is low due to chance correct answers or operational errors
Solution Approach 1:
The patent replaces the mechanical touch panel operation with an optical detection system. Instead of requiring the subject to physically touch or click an answer, the system uses a gaze point detection device to track where the subject looks on the display. This substitution eliminates operational errors from touch interactions and reduces the influence of chance, as gaze tracking provides continuous, objective data about the subject's visual attention and decision-making process.
2Productivity
If multiple target objects are displayed for selection, then the task can be completed, but it becomes difficult to distinguish correct answers from chance selections
Solution Approach 1:
The system provides continuous feedback by tracking the gaze point's movement over time. Instead of relying on a single static selection, the system records the trajectory, duration, and sequence of gaze points as the subject views multiple target objects. This temporal and spatial feedback pattern allows the system to distinguish between deliberate selection (sustained gaze on the correct object) and chance selection (brief or random gaze), thereby improving measurement precision while maintaining evaluation efficiency.
Data Source
AI summary
An evaluation device includes a display for images; a gaze point detecting unit configured to detect a positional data of a gaze point of a subject; a display controller configured to display, on the display, a task target object and instruction information, and then a specific target object including a specific feature portion as a correct answer to the instruction information and comparison target objects; an area setting unit configured to set a specific feature area for the specific feature portion and comparison areas for the comparison target objects on the display; a determination unit configured to determine, based on the detected positional data, whether the gaze point is present in the set areas; an arithmetic unit configured to calculate, based on a determination result, a gaze point transition data; and an evaluating unit configured to obtain, based on the gaze point transition data, an evaluation data.