IMPLEMENTATION OF EMOTION DETECTION SYSTEM USING FACIAL EXPRESSIONS

The premise of this paper is to develop a system that detects human emotions through consecutive video frames. Emotions of a person can be detected using facial expressions because the most expressive way a human can show his emotions is through facial expressions. Emotion detection using facial expressions is widely used in various fields like computer science, medicine, and psychology. Automated facial expression recognition is also used in HCI system for better results. Human-computer-interaction can become more natural if computers are able to understand human emotions and their behavior. In this paper a new system for emotion detection using facial expression has been proposed. Input to the system is a sequence of video frames captured using a built-in webcam or external video device. A process of face extraction and cropping is carried out on the video frames captured and then emotions are detected by calculating the Euclidean distance of input image to the train images. The proposed system is implemented in MATLAB version 8.1.0.604 (R2013a).