Author : Ms. Thokal Nisha E. and Prof. Dr. Chobe S.V

This project presents a method to automatically detect emotional duality and mixed emotional experience using Linux based system. Co- ordinates, distance and movement of tracked points were used to create features from visual input that captured facial expressions, head, face gestures and face movement. Spectral features, prosodic features were extracted using the web camera. Face API was used for calculation of features. A combined feature vector was created by feature level fusion and cascade classifier was used for emotion detection. Live participants and actions are to be used for recording simultaneous mixed emotional experience. As per calculated result system we generate the sound when driver any emotion driving the car. If we analysis then accident ratio is minimized on road.

Keywords: Facial expressions, drowsiness detection, machine learning.