Comparative Analysis of Algorithms for Recognizing Emotions by Eye Blink

Abstract

This paper presents the analysis of various algorithms used for eye blinking and emotion recognition and the relation between them. Emotions can also be extracted from the eye which includes eye blinking and also eye movement. Blinking is not only used to clear and lubricate our eyes, but also used to emphasize various emotions and behavior. Study on tiredness showed that drowsy driver tends to blink less which is prone to more accidents. Few conventional methods for eye blink detection like Haar-like features, template matching, EAR are efficient and in use.