EEG Based Emotion Recognition System for Special Children

Electroencephalography, one of the finest modality to study neural basis of cognition is majorly used in the area of emotion recognition. There is a major problem faced by specially abled children in comprehending and conveying emotion. Music has been used as a promising medium to evoke and study emotion over the past decade. The subjects produce alpha waves majorly while listening to music in a general relaxed state and produce large amount of beta and gamma waves while introspecting the music. The waveforms vary depending upon every individuals perception to that particular stimuli. Through our work we have proposed a continuous emotional recognition system by giving music as a stimuli that could aid in continuous patient monitoring. We have used random forest algorithm to classify the emotions and later integrate it to a patient monitoring system.