Gaze Area Estimation for Intention-Aware Selection in Electronic Devices
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Solution Overview
Problem
Conventional techniques for selecting objects or areas in electronic devices like head-mounted displays (HMDs) and cameras fail to distinguish between different ways of looking, leading to mismatches in user intentions.
Innovation Solution
An electronic device is configured with a processor that estimates a user's gaze area and selects a corresponding selection area from candidate areas based on this estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional selection techniques are used, then the device complexity is reduced, but the measurement precision of user intention is insufficient
Solution Approach 1:
The patent segments the user's gaze into distinct gaze areas (first gaze area and second gaze area) based on different viewing modes. By dividing the gaze detection into multiple segmented regions corresponding to different user intentions, the system achieves more precise intention recognition without requiring an entirely complex new system, thus resolving the contradiction between measurement precision and device complexity.
2Measurement precision
If gaze area estimation is implemented, then the selection accuracy is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent introduces an intermediary mechanism that maps eye movement data to gaze areas through a predetermined correspondence relationship. Instead of directly measuring complex gaze patterns, the system uses eye movement as an intermediary indicator to infer gaze area, significantly reducing the difficulty of detection while maintaining high measurement precision for gaze area accuracy.
3Productivity
If detailed gaze analysis is performed, then the information acquisition efficiency is improved, but the processing time increases
Solution Approach 1:
The patent applies partial action by analyzing only the necessary gaze area information required for selection, rather than performing complete gaze trajectory analysis. The system determines gaze areas based on eye movement within specific time windows and only processes the essential features needed for selection, thereby improving information acquisition efficiency while reducing processing time through selective analysis.
Data Source
AI summary
An electronic device includes at least one memory storing instructions; and at least one processor which, upon execution of the instructions, configures the at least one processor to function as: an estimation unit configured to estimate a gaze area of a user; and a selection unit configured to select a selection area from one or more candidate areas based on the gaze area.