Abstract
Multimodal Human Eye Blink Recognition Using Z-score Based Thresholding and Weighted Features
Highlights
Eye blinking is partly unintended closing and reopening of the eyelid
Iii) The eye blinks are detected using an amalgam of 5 weighted features (Vertical Head Positioning, Orientation Factor, Proportional Ratio, Area of Intersection, and Upper Eyelid Radius) depicting imperative gen (z score threshold), extracted from the circles uniquely formed from the eyelids landmarks
Shi ing to multimodal system the eye blinks are detected using an amalgam of 5 weighted features depicting signi icant information, extracted from the circles uniquely formed from the eyelids landmarks
Summary
Eye blinking is partly unintended closing and reopening of the eyelid. Muscles that help in closing/opening the eye are Orbicularis oculi and levator palpebrae superioris [1]. Eye blinking assists in cleaning and moistening the eye cornea. Blinking can be categorized into three main classes: spontaneous blinking, reflex blinking, and voluntary blinking. The first two lie under the category of involuntary blinking. Voluntary blinking can be invoked intentionally within the control of a subject. The work emphasizes detecting the eye blinks, from voluntary blinking, which can be encrypted to alarm emergency [2]-[3]
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