Mind Reader : A Facial Expression and EEG Based Emotion Recognizer

At the advent of human age analysis of emotion is one of the most mysterious and unsolved matters. The emotion and thinking pattern are like a paradox. To understand the mental state of a person only the facial expression is not sufficient. So along with facial expression decoding the signals of brain wave completely can be the key of exposure of emotion. This paper focuses on a system to unveil the nature of emotion with the help of two process cases and then comparing both emotions, the fluctuation were calculated if exists any. Additionally combining data of both process cases more accurate emotional state is achieved. First process case is the facial expression recognition technology and the other one is the extraction of EEG signal data from brain. Evaluating and analyzing data of these two processes were combined in this system to gain the fluctuation of emotional state. The outcome values of the combination of these two process cases were also included in this paper. Therefore the proposed system can pave the way of fully transparent emotion recognition in near future and would contribute a lot in the field of medical science, neuroscience, artificial intelligence and defense security.