References

Chen, C.N.H.C.H. and H.Y. Chung, 2004. The review of applications and measurements in facial electromyography. J. Med. Biol. Eng., 25: 15-20.
Direct Link  |  

Chen, L.S. and T.S. Huang, 2000. Emotional expressions in audiovisual human computer interaction. Proceeding of the 2000 IEEE International Conference on Multimedia and Expo, 2000 ICME 2000, July 30-August 2, 2000, IEEE, Urbana, Illinois, ISBN:0-7803-6536-4, pp: 423-426.

Cohen, I., N. Sebe, A. Garg, L.S. Chen and T.S. Huang, 2003. Facial expression recognition from video sequences: Temporal and static modeling. Comput. Vision Image Understanding, 91: 160-187.
CrossRef  |  

Daabaj, Y., 2002. An evaluation of the usability of human-computer interaction methods in support of the development of interactive systems. Proceedings of the IEEE International Conference on System Sciences, Jan. 7-10, IEEE Xplore Press, Hawaii, pp: 1830-1839.

Gibert, G., M. Pruzinec, T. Schultz and C. Stevens, 2009. Enhancement of human computer interaction with facial electromyographic sensors. Proceedings of the 21st Annual Conference of the Australian Computer-Human Interaction Special Interest Group: Design: Open 24/7, November 23-27, 2009, ACM, New York, USA., ISBN:978-1-60558-854-4, pp: 421-424.

Hamedi, M., I.M. Rezazadeh and M. Firoozabadi, 2011. Facial gesture recognition using two-channel bio-sensors configuration and fuzzy classifier: A pilot study. Proceedings of the 2011 International Conference on Electrical, Control and Computer Engineering (INECCE), June 21-22, 2011, IEEE, Tehran, Iran, ISBN:978-1-61284-229-5, pp: 338-343.

Hema, C.R., 2010. Recognizing motor imagery using dynamic cascade feed-forward neural networks. Proceeding of the 2010 6th International Colloquium on Signal Processing and Its Applications (CSPA), May 21-23, 2010, IEEE, Perlis, Malaysia, ISBN:978-1-4244-7121-8, pp: 1-3.

Hema, C.R., M.P. Paulraj and A.H. Adom, 2012. Improving classification of EEG signals for a four-state brain machine interface. Proceedings of the 2012 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES), December, 17-19, 2012, IEEE, Coimbatore, India, ISBN:978-1-4673-1664-4, pp: 615-620.

Hema, C.R., M.P. Paulraj, R. Nagarajan and Y.A.H. Sazali, 2008. Brain machine interface: Analysis of segmented eeg signal classification using short-time PCA and recurrent neural networks. Int. J. Electr. Electron. Eng. Iraq, 4: 77-85.
Direct Link  |  

Hongo, H., M. Ohya, M. Yasumoto and K. Yamamoto, 2000. Face and hand gesture recognition for human-computer interaction. Proceedings of the 15th IEEE International Conference on Pattern Recognition, Sept. 3-8, IEEE Xplore Press, USA., pp: 921-924.

Kim, J. and E. Andre, 2008. Emotion recognition based on physiological changes in music listening. IEEE Trans. Pattern Anal. Mach. Intell., 30: 2067-2083.
CrossRef  |  

Lang, P.J., 1995. The emotion probe: Studies of motivation and attention. Am. Psychol., 50: 372-385.
Direct Link  |  

Latha, G.C.P., C.R. Hema and M.P. Paulraji, 2013. Neural network based classification of human emotions using Electromyogram signals. Proceedings of the 2013 International Conference on Advanced Computing and Communication Systems (ICACCS), December 19-21, 2013, IEEE, Coimbatore, India, ISBN:978-1-4799-3507-9, pp: 1-4.

Massaro, D.W., 2000. Perceptual interfaces in human computer interaction. Proceedings of the IEEE International Conference on Multimedia Expo, July 30-Aug. 2, IEEE Xplore Press, New York, pp: 563-566.

Paul, G.M., F. Cao, R. Torah, K. Yang and S. Beeby et al., 2014. A smart textile based facial EMG and EOG computer interface. IEEE. Sens. J., 14: 393-400.
CrossRef  |  Direct Link  |  

Paulraj, M.P., R.B. Ahmad, C.R. Hema and F. Hashim, 2009. Estimation of mobile robot orientation using neural networks. Proceedings of the 5th International Colloquium on Signal Processing its Applications, 2009, CSPA 2009, March 6-8, 2009, IEEE, March 6-8, 2009, ISBN:978-1-4244-4151-8, pp: 42-46.

Rigas, G., C.D. Katsis, G. Ganiatsas and D.I. Fotiadis, 2007. A User Independent, Biosignal Based, Emotion Recognition Method. In: User Modeling, Cristina, C., M. Kathleen and P. Georgios (Eds.). Springer, Berlin, Germany, ISBN:978-3-540-73077-4, pp: 314-318.

Shih, C.H., C.H. Ting and L.H. Chung, 2013. Video based facial expression recognition using hough forest. Proceeding of the 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), October 29-November 1, 2013, IEEE, Hsinchu, Taiwan, ISBN:978-986-90006-0-4, pp: 1-9.

Tomarken, A.J., R.J. Davidson and J.B. Henriques, 1990. Resting frontal brain asymmetry predicts affective responses to films. J. Personality Social Psychol., 59: 791-801.
Direct Link  |  

Wagner, J., J. Kim and E. Andre, 2005. From physiological signals to emotions: Implementing and comparing selected methods for feature extraction and classification. Proceeding of the 2005 IEEE International Conference on Multimedia and Expo, July 6, 2005, IEEE, Augsburg, Germany, ISBN:0-7803-9331-7, pp: 940-943.

Wang, Y. and L. Guan, 2006. Recognizing human emotion from the audio visual information. Proceeding of the International Conference on Acoustics, Speech and Signal Processing, March 18-23, 2006, IEEE, Philadelphia, Pennsylvania, pp: 1125-1128.

Westerink, J.H., D.B.E.L. Van, M.H. Schut, H.J. Van and K. Tuinenbreijer, 2008. Computing Emotion Awareness Through Galvanic Skin Response and Facial Electromyography. In: Probing Experience, Joyce, H.D.M.W., O. Martin, J.M.O. Therese, W.F. Pasveer and D.R. Boris (Eds.). Springer, Netherlands, Europe, ISBN:978-1-4020-6592-7, pp: 149-162.

Wong, W.M., A.W. Tan, C.K. Loo and W.S. Liew, 2010. PSO optimization of synergetic neural classifier for multichannel emotion recognition. In: Proceeding of the 2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC), December 15-17, 2010, IEEE, Malacca, Malaysia, ISBN:978-1-4244-7377-9, pp: 316-321.

Yang, S. and G. Yang, 2011. Emotion recognition of EMG based on improved L-M BP neural network and SVM. J. Software, 6: 1529-1536.
Direct Link  |  

Zuckerman, M., B.M. DePaulo and R. Rosenthal, 1986. Humans as Deceivers and Lie Detectors. In: Nonverbal Communication in the Clinical Context, Blanck, P.D., R. Buck and R. Rosenthal (Eds.). Pennsylvania State University, Pennsylvania, USA., pp: 13-35.