Human Behaviour Detection by Reading Facial Expression

Abstract

Abstract: There are many way to by which human being communicate with each other verbal, sign language or facial expression are one of them. Here we propose artificial intelligence based facial expression detection system by which we can detect behaviour of human being by computer system. Facial expression detection have lot of real life applications including computer to human interaction, Human behaviour reorganisation, cognitive study, emotion analysis, personality development etc. Here we set a study which uses a new technique for facial expressions using single frame uses combination of vector and geometrical feature based classification method Generally to study human face the image of face is divided into small grid of pixels . In this Study we have divided whole face into sub region of local regions. This technique acquire most important sub regions of the domain and start collecting most important sub regions incrementally which enhance accuracy and speed. The consequences of looks acknowledgment utilizing highlights from space explicit locations , likewise contrasted and the outcomes acquired utilizing all encompassing portrayal. The presentation of the proposed look acknowledgment framework has been approved on openly accessible expanded Cohn-Kanade (CK+) look informational collections.