The research in the area of gesture recognition is closely related to the social life, as faces are the accessible windows which govern our emotional and social lives and expressions of the face is basic mode of non verbal communication among people. Actually the primary goal of gestures is to identify human gestures and deploy them to convey information through machine. There is huge need of gesture due to its wide application like developing aids for the hearing impaired, enabled very young children to interest with computers, designing techniques for forensic identification, medically monitoring patients emotional states or stress levels, lie detection, communicating in video conferencing etc. Face is key element of human body, emotions on face or facial expressions are very basic thing when human communicate with each other people or when they thinks. It is challenge to computer researcher to recognize the human gesture for general life applications. Most approaches for automatic facial gesture analysis in face image sequences attempt to recognize a set of prototypic emotional facial expressions i. e. happiness, sadness, fear, surprise, anger, disgust.

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Automatic Gesture Recognition Face Emotions