Gaze Point Detection for Cognitive Evaluation
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Solution Overview
Problem
Existing methods for evaluating cognitive dysfunction and brain dysfunction, such as displaying multiple objects for counting, struggle to accurately differentiate between inevitably and accidentally selected answers, leading to inconsistencies in evaluation accuracy.
Innovation Solution
An evaluation device and method that utilize a display unit to show a video of a moving object, detecting the subject's gaze point, and determining if it falls within specific regions (movement route and final arrival point) to calculate gaze point data and obtain evaluation data based on this data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a simple counting task with multiple objects is used for evaluation, then the evaluation method is easy to implement, but the accuracy of differentiating between inevitable and accidental answers deteriorates
Solution Approach 1:
The patent transitions from a static counting task to a dynamic trajectory tracking task. By adding the dimension of time and motion to the evaluation, the system can assess not just the final answer but the process of reaching it. The moving object's trajectory provides temporal and spatial information that distinguishes between deliberate tracking and random selection, thereby improving evaluation accuracy while maintaining ease of implementation through simple video display and gaze detection.
2Device complexity
If only the final answer is selected for evaluation, then the evaluation process is simple, but the ability to verify whether the answer is inevitable or accidental deteriorates
Solution Approach 1:
The patent records the gaze point trajectory throughout the entire video display period before final evaluation. By capturing the subject's visual attention pattern during the moving object's traversal, the system establishes a temporal record that can be analyzed to determine whether the subject was actively tracking the object's path. This preliminary data collection enables reliable verification of answer validity without adding complexity to the evaluation process itself.
Solution Approach 2:
The system provides feedback by comparing the recorded gaze point trajectory against the actual movement route of the object. This comparison generates evaluation data that indicates whether the subject's final answer was derived from active visual tracking or random selection. The feedback mechanism validates the reliability of answers while keeping the evaluation process straightforward through automated analysis of gaze patterns.
3Measurement precision
If gaze point detection and trajectory analysis are added to the evaluation system, then the accuracy of spatial cognitive ability assessment is improved, but the device complexity increases
Solution Approach 1:
The patent replaces complex mechanical or manual evaluation methods with optical and computational systems. Instead of requiring physical interaction or complex testing procedures, the system uses gaze point detection technology to automatically track and analyze visual attention patterns. This substitution improves spatial cognitive assessment accuracy by providing objective, quantifiable data while managing system complexity through automated processing of gaze trajectories against pre-defined movement routes.
Data Source
AI summary
An evaluation device includes a display unit; a gaze point detection unit detecting a position of a gaze point of a subject; a display control unit causing the display unit to display a video for task of causing the subject to gaze at a final arrival point of a moving object; a region setting unit setting a movement route region corresponding to a movement route of the moving object according to a movement rule and a final arrival point region corresponding to the final arrival point; a determination unit determining, based on the position of the gaze point, whether the gaze point exists in the movement route region and the final arrival point region in a display period; a calculation unit calculating gaze point data in the display period based on a determination result; and an evaluation unit obtaining evaluation data of the subject based on the gaze point data.