Movie’s-Emotracker: Movie Induced Emotion Detection by Using EEG and AI Tools

The proposed work “Movie’s-Emotracker” has been designed to track movie induced emotions by using electroencephalography signals and artificial intelligence tools. Electrodes placed with human brain scalp while watching movies and send through BrainTech Traveler system to store data as numerical form. In this procedure of data acquisition, we used 25 video clips applied on 20 participations for detecting a distinct emotional state using brain signals. Due to watching movie occipital lobe is active, due to listen movie temporal lobes is active, parietal due to thinking about the movie and frontal lobe for emotion detection. 1–30 Hz bandpass filter used for filtering, for artifact removal used independent component analysis, feature extraction by Root mean square, classification done by Self-assessment Manikins and Back propagation neural network. Finally, movie induced emotions categorized as negative, natural and positive emotion. Observations are analyzed by proposed system and movie rating will be send to the user’s smart phone, based on previous rating the users also be alert about the movie type. Average test accuracy of our proposed work is 90% and above. The current system can be used for weak old aged peoples, teenagers and also used for psychological guide, and the system will be prodigious impression on the world.