REAL TIME HUMAN FACIAL EMOTION RECOGNITION SYSTEM

DIGITAL IMAGE PROCESSING (COMPUTER ENGINEERING/ELECTRONICS &TELECOMMUNICATION ENGINEERING)

Now-a-days human–machine interaction is most important area in recent research field where all types of machines try to understand human emotions and gestures. Understanding the human behavior for machine, researchers worked continuously because if machine able to understand the human behavior it work better. Human emotions can understand by pictures, verbal ,text, vocal, and facial expressions. For judge specific emotions of a human facial expressions plays an important role. Limited work is done in the field of real time human emotion recognition with the help of facial pictures/images. In this research paper, we will propose method for real time emotion recognition from facial image. There are three proposed method steps, we are using in this research work first one is for face detection- Haar cascade, second one we use here feature extraction using Active Shape Model (ASM) and third one is for classification of five emotions that is happiness, anger, disgust, surprise and neutral. Our proposed method lies in the implementation of emotion recognition of happiness, anger, disgust, surprise and neutral at real time on Raspberry Pi IV. The Raspberry Pi IV when mounted on any kind of robot and it can be recognize emotions dynamically in real time in any environment

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