EOG Detection Apparatus Distinguishing Protective Blinks
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Solution Overview
Problem
Existing EOG detection technologies fail to distinguish between protective blinks and directive blinks, leading to misclassification and potential misoperation in eye-control interaction systems.
Innovation Solution
An EOG detection method and apparatus that acquire and analyze EOG signals to determine whether a blink is a protective blink, using characteristic eigenvalues such as amplitude and time characteristics of the signal, and employing learning-based classification models to differentiate between various types of blinks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If EOG detection technology is used to generate control instructions from blink actions, then user interaction convenience is improved, but misclassification of protective blinks as directive blinks causes misoperation
Solution Approach 1:
The patent applies parameter changes by analyzing multiple characteristics of EOG signals including amplitude, duration, and waveform shape to differentiate between protective and directive blinks. By examining these signal parameters in combination, the system accurately classifies blink types and generates appropriate control instructions, resolving the misclassification problem while maintaining ease of operation.
2Speed
If all blink actions are treated as valid control commands, then system responsiveness is improved, but protective blinks cause invalid operations
Solution Approach 1:
The patent applies local quality by examining specific characteristics of individual blink signals rather than treating all blinks uniformly. The system analyzes local features such as amplitude patterns, duration, and waveform morphology of each EOG signal to determine whether it represents a valid directive blink or a protective blink, enabling selective response while maintaining overall system responsiveness.
3Speed
If EOG signal analysis is simplified to improve processing speed, then real-time detection is achieved, but classification accuracy between blink types decreases
Solution Approach 1:
The patent applies partial action by selectively analyzing the most discriminative features of EOG signals rather than processing all possible parameters. The system focuses on key characteristics such as amplitude ratios and duration thresholds that provide sufficient differentiation between blink types, achieving accurate classification without the computational overhead of exhaustive analysis, thus maintaining real-time processing capability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Accurately distinguishing protective blinks from other types, reducing the likelihood of misoperation and enhancing user experience by excluding invalid control instructions.
Implementation Method 1
acquiring at least one EOG signal of a blink of at least one eye of a user
Data Source
AI summary
Electrooculogram (EOG) detection methods and EOG detection apparatuses are described. The EOG detection method can comprise: acquiring at least one EOG signal of a blink of at least one eye of a user; and analyzing the at least one EOG signal to determine whether the blink is a protective blink. A basis is thus provided for further applications of an eye movement detection technology by determining, according to an EOG signal of a user, whether a blink of the user is a protective blink.