Reckoning number of eye blinks using eye facet correlation for exigency detection
Puneet Singh Lamba, Deepali Virmani · Journal of Intelligent & Fuzzy Systems · 2018
Eye blink is a semi-autonomic rapid closing of eyelid. Eye blink is controlled by the autonomic nervous system of human brain. This normal and most important function of human eye can be embedded with some created (abnormal) sequences to indicate any unusual message. In this paper, a real time novel algorithm to reckon number of eye blinks (R T REB) in a video sequence using eye facet correlation (EFC) is proposed. The proposed R T REB approximates the eye landmark positions using EFC- an extricate variable value of eyelids clearly differentiating between opened and closed eyelid in a frame of a video sequence. The proposed R T REB is classified with existing classifiers SVM, QSVM, KNN and DTREE. Increased accuracy to 99.8% validates the effectiveness and correctness of R T REB.