Bung, H. and Furui, S. (2000) Automatic recognition and understanding of spoken languages-a first step toward natural human machine communication. Proceedings of IEEE, 88, 1142-1165.
Cowie, R., Douglas, E., Tsapatsoulis, N., Votsis, G., Kollias, G., Fellenz, W. and Taylor, J.G. (2001) Emotion Recognition in human-computer interaction. IEEE Signal Processing, 1, 3773-3776.
Takahashi, K. (2004) Remarks on emotion recognition from bio-potential signals. The Second International Conference on Autonomous Robots and Agents, 186-191.
Picard, R.W. (2000) Toward computers that recognize and respond to user emotion. IBM Systems Journal, 39(3), 705-719.
Picard, R.W. and Healey, J. (1997) Affective wearable’s. Personal Technologies, 1(4), 231-240.
Kim, K.H., Band, S.W. and Kim, S.B. (2004) Emotion recognition system using short-term monitoring of physiological signals. Proceedings on Medical & Biological Engineering & Computing, 42, 419-427.
Chanel, G., Karim, A.A. and Pun, T. (2007) Valence-arousal evaluation using physiological signals in an emotion recall paradigm. Lecturer Notes in Computer Science, 1, 530-537.
Chanel, G., Kronegg, J., Grandjean, D. and Pun, T. (2005) Emotion assessment: Arousal evaluation using EEG’s and peripheral physiological signals. Technical Report, 4105, 530-537.
Murugappan, M., Rizon, M., Nagarajan, R. and Yaacob, S. (2009a) Inferring of human emotion states using multichannel EEG. International Journal of Soft Computing and Applications (IJSCA), EURO Journals, United Kingdom. (Accepted).
Russell, J.A. (1980) A Circumplex model of affect. Journal of Personality and Social Psychology, 39(6), 1161- 1178.
Lang. P.J. (1995) The emotion probe: Studies of motivation and attention. American Psychologist, 50(5), 372- 385.
Danny, O.B. (2008) Automated artifact detection in brain stream. Technical Report, 1-8.
Wang, Y. and Guan, L. (2005) Recognizing human emotion from audiovisual information. Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, 2, 1125-1128.
Murugappan, M., Rizon, M., Nagarajan, R. and Yaacob, S. (2008) Asymmetric ratio and FCM based salient channel selection for human emotion recognition using EEG. WSEAS Transactions on Signal Processing, 10(4), 596-603.
Murugappan, M., Rizon, M., Nagarajan, R., Yaacob, S., Hazry, D. and Zunaidi, I. (2008) Time-frequency analysis of EEG signals for human emotion detection. IFMBE Proceedings, 21, 262-265.
Takahashi, K. and Tsukaguchi, A. (2004) Remarks on emotion recognition from multi-modal bio-potential signals. Proceedings of IEEE International Workshop on Robot and Human Interactive Communication, 95-100.
Jonghwa, K. and Elisabeth, A. (2008) Emotion recognition based on physiological changes in music listening. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(12), 1-17.
Murugappan, M., Rizon, M., Nagarajan, R. and Yaacob, S. (2009) An Investigation on visual and audiovisual stimulus based emotion recognition using EEG. Transactions on Medical Engineering and Informatics, 1(3), 342-356.
Jung, T. (2000) Removing electroencephalographic artifacts by blind source separation. Journal of Psychophysiology, 37(2), 163-178.
Gott, P.S., Hughes, E.C. and Whipple. (1984) Voluntary control of two lateralized conscious states: Validation by electrical and behavioral studies. Journal of Neuropsychological, 22, 65-72.
Mallat, S.G. (1989) A theory for multi-resolution signal decomposition: The wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(7), 674-693.
Merzagora, A.C., Bunce, S., Izzetoglu, M. and Onaral, B. (2006) Wavelet analysis for EEG feature extraction in deceptive detection. IEEE Proceedings on EBMS, 6, 2434- 2437.
Chethan, P. and Cox, M. (2002) Frequency characteristics of wavelets. IEEE Transactions on Power Delivery, 17(3), 800-804.
Charles, W.A. and Zlatko, S. (1997) Classification of EEG signals from four subjects during five mental tasks. IEEE Proceedings on Engineering Application in Neural Networks, 407-414.
Wanpracha, A.C., Ya-ju, F. and Rajesh, C.S. (2007) On the time series k-nearest neighbor classification of abnormal brain activity. IEEE Transactions on Systems, Man and Cybernetics–Part A: Systems and Humans, 37(6), 1005- 1016.