000			01643nam a22002297a 4500
999			_c51379 _d51379
003			OSt
005			20190514131943.0
008			190514b ||||| |||| 00| 0 eng d
100			_aDurairaj, M. _929900
245			_aMining and Extracting Emotional Information from Human-Based EEG: An Overview
300			_a343 -351 p.
520			_aEmotion plays a vital role in our lives such as attention, memory and decision making and communication. Emotion recognition is a step towards aiding people such as in care taking and designing brain computer interfaces. Nowadays, automatic emotion recognition is one of the most popular research topics in the fields of computer vision, speech recognition, brain-machine interface, and computational neuroscience. Recognizing emotions from EEG (Electroencephalogram) signals permits us to evaluate the internal condition of the subject, which is viewed as an important factor in HCI (Human Computer Interaction). One of the most important things in improving accuracy of emotion recognition is based upon choosing the Good Artifact Removal algorithm, Feature extraction, Feature selection method and Classification algorithms. This paper reviews EEG emotion recognition
653			_acomputer interfaces
653			_aautomatic emotion recognition
653			_acomputational neuroscience
653			_aHuman Computer Interaction
653			_aGood Artifact Removal algorithm
653			_aEEG emotion
700			_aJansi Rani, R. _933634
773	0		_031657 _974337 _aCHAKRAVORTY S K (EDITOR) _dMD PUBLICATIONS PVT. LTD NEW DELHI _o55510181 _tPRODUCTIVITY : _z0032-9924
942			_2ddc _cJA-ARTICLE