Eye Movement Tracking Interface with Blink Confirmation
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Solution Overview
Problem
Current eye movement interaction mechanisms suffer from low efficiency, high error rates, frequent eyestrain, and poor control sense, limiting their application and prospects in human-machine interaction.
Innovation Solution
A human-machine interaction method and system based on eye movement tracking that acquires and processes first, second, and third eye movement information to execute operation commands, allowing for interface enlargement, scrolling, zooming, and function locking/unlocking, enhancing user interaction efficiency and convenience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional eye movement tracking is used for computer control, then physically disabled users can operate computers, but the interaction efficiency is low and error rate is high
Solution Approach 1:
The patent segments the interaction process into multiple stages: coarse positioning through gaze detection, confirmation through blink input, and command execution. This multi-stage segmentation allows the system to balance accessibility with efficiency by breaking down complex operations into manageable steps that reduce errors while maintaining operability for disabled users.
Solution Approach 2:
The patent implements feedback mechanisms where the system provides visual confirmation of detected gaze positions and waits for confirmation blinks before executing commands. This feedback loop reduces error rates by ensuring accurate command recognition while maintaining efficient interaction flow through immediate system responses to user inputs.
2Ease of operation
If eye movement tracking is used for computer control, then users can communicate externally, but frequent eyestrain occurs
Solution Approach 1:
The patent uses periodic blink detection as a confirmation mechanism rather than continuous eye movement analysis. This periodic sampling approach reduces the continuous visual load on users while maintaining accurate command recognition, thereby reducing eyestrain during prolonged communication sessions.
Solution Approach 2:
The system performs preliminary gaze positioning before requiring user confirmation, reducing the need for users to maintain intense visual focus continuously. The preliminary detection phase allows the system to prepare commands in advance, reducing the cognitive and visual burden during the confirmation phase.
3Ease of operation
If eye movement tracking is used for computer control, then users can operate interfaces, but control precision is poor
Solution Approach 1:
The patent divides the interface into multiple selectable regions and uses a multi-stage selection process where users first select a general area, then confirm specific commands. This spatial and procedural segmentation improves control precision by breaking down precise positioning tasks into coarser initial selections followed by confirmed refinements.
Solution Approach 2:
The patent introduces an intermediary confirmation step (blink detection) between gaze detection and command execution. This intermediary mechanism acts as a mediator that verifies the user's intended action, thereby improving control precision by preventing misinterpretation of accidental or unintended gaze movements.
4Ease of operation
If simple gaze detection is used for commands, then operation is simple, but mistaken commands are triggered
Solution Approach 1:
The patent introduces blink detection as an intermediary confirmation step between gaze detection and command execution. This intermediary mechanism maintains operational simplicity by using natural blink behavior while significantly improving command accuracy by requiring active user confirmation before executing actions, thereby preventing mistaken commands.
Solution Approach 2:
The system provides visual feedback showing the detected gaze position and waits for confirmation before executing commands. This feedback mechanism maintains simplicity by using clear visual indicators while improving reliability by requiring explicit user confirmation, ensuring that only intended commands are executed.
Data Source
AI summary
The present disclosure discloses a human-machine interaction method and system based on eye movement tracking. The human-machine interaction method comprises the following steps: acquiring first eye movement information of a user on a current display interface; executing a first operation command on the current display interface based on the first eye movement information; acquiring second eye movement information of the user on the current display interface under the first operation command; executing a second operation command on the current display interface under the first operation command based on the second eye movement information; acquiring third eye movement information of the user on the current display interface under the second operation command; locking or unlocking the second operation command based on the third eye movement information; and repeating the above process until the user finishes human-machine interaction.