Short Review on Brain Activity Recognition via EEG Signal

Analysis of the human body has never diminished and explorations on it have never come to an end. An analysis of EEG for the study of the cognitive process for bio-medical appliances is a current research area. The EEG aids to understand the brain and its activities by offering thorough information on the present status of the brain. This is necessary data since it could aid in identifying or preventing varied abnormalities or diseases or damages in the brain. For that, the precise study of EEG signals is important. A review of 25 works on brain activity recognition (BAR) provides the basis for this survey. The diverse employed schemes in reviewed articles are evaluated that include classification and optimization techniques like Support Vector Machine (SVM) and so on. Moreover, the performance of the reviewed articles is examined and the better performances are analyzed. At last, a chronological review is done and the challenges of BAR are described.