Eye State Recognition through Detection and Fitting of Upper Eyelids
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Resource Overview
Detailed Documentation
This MATLAB-based implementation performs eyelid detection and curve fitting to identify eye states. By analyzing the shape and movement patterns of the upper eyelid contour, the system determines whether eyes are open or closed, thereby extracting critical eye state information. The methodology employs image processing techniques including edge detection, contour extraction, and polynomial fitting algorithms to model eyelid curvature. Applications include eye-tracking systems, fatigue detection in driver monitoring, and biomedical research, providing robust support for related studies and practical implementations. The implementation typically involves functions like imfindcircles for pupil detection, edge operators for boundary identification, and polyfit for eyelid curve approximation.
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