期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2014
期号：ICIASET
页码：77
出版社：S&S Publications
摘要：Human communication has two main aspects; verbal (auditory) and non-verbal(visual). Facial expression,body movement and physiological reactions are the basic units of non-verbal communication. Facial expression recognitionhas attracted increasing attention in computer vision, pattern recognition, and human-computer interaction researchcommunities. Expression recognition is increasingly being used in the mobile and robotics industry. This project deals inthe recognition of certain facial expressions in real time which faces many obstacles starting from correctly identifying aface and keeping track of key points on the face to then mapping these points to the right expression. Through the cascadeduse of feature detection techniques, adaptive histogram equalization, contour mapping, and filtering this applicationrecognizes 8 key points on the face and compares them to a calibrated neutral face model to extract the current expression.This application can be used to indicate an emotion to those that cannot comprehend expression or to react to the detectedexpression by playing music based on the users current mode, detecting if the user is lying, and allowing robots to havehuman-like interaction with the user.
