References

Asl, B.M., S.K. Setarehdan and M. Mohebbi, 2008. Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal. Artif. Intell. Med., 44: 51-64.
Direct Link  |  

Chanel, G., J.J. Kierkels, M. Soleymani and T. Pun, 2009. Short-term emotion assessment in a recall paradigm. Int. J. Hum. Compt. Stud., 67: 607-627.
CrossRef  |  

Chang, C.C. and C.J. Lin, 2011. LIBSVM: A library for support vector machines. ACM Trans. Intell. Syst. Technol., 2: 1-39.
CrossRef  |  Direct Link  |  

Congalton, R.G., 1991. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sens. Environ., 37: 35-46.
CrossRef  |  Direct Link  |  

Dan-Glauser, E.S. and K.R. Scherer, 2011. The Geneva Affective Picture Database (GAPED): A new 730-picture database focusing on valence and normative significance. Behav. Res. Methods, 43: 468-477.
CrossRef  |  

Delorme, A. and S. Makeig, 2004. EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics. J. Neurosci. Meth., 134: 9-21.
Direct Link  |  

Ekman, P. and W.V. Friesen, 1986. A new pan-cultural facial expression of emotion. Motivation and Emotion, 10: 159-168.
CrossRef  |  

Ekman, P., 1992. An argument for basic emotions. Cognition, Emotion, 6: 169-200.
CrossRef  |  

Geronimo, J.S., D.P. Hardin and P.R. Massopust, 1994. Fractal functions and wavelet expansions based on several scaling functions. J. Approximation Theory, 78: 373-401.
CrossRef  |  

Lagerlund, T.D., F.W. Sharbrough and N.E. Busacker, 1997. Spatial filtering of multichannel electroencephalographic recordings through principal component analysis by singular value decomposition. J. Clin. Neurophysiol., 14: 73-82.
Direct Link  |  

Murugappan, M., M. Rizon, R. Nagarajan and S. Yaacob, 2009. An investigation on visual and audiovisual stimulus based emotion recognition using EEG. Int. J. Med. Eng. Inform., 1: 342-356.
CrossRef  |  Direct Link  |  

Murugappan, M., N. Ramachandran and Y. Sazali, 2010. Classification of human emotion from EEG using discrete wavelet transform. J. Biomed. Sci. Eng., 3: 390-396.
CrossRef  |  

Musha, T., Y. Terasaki, H.A. Haque and G.A. Ivamitsky, 1997. Feature extraction from EEGs associated with emotions. Artif. Life, Rob., 1: 15-19.
CrossRef  |  

Quan, C. and F. Ren, 2010. A blog emotion corpus for emotional expression analysis in Chinese. Comput. Speech Language, 24: 726-749.
CrossRef  |  

Quan, C. and F. Ren, 2010. Sentence emotion analysis and recognition based on emotion words using Ren-CECps. Int. J. Adv. Intell., 2: 105-117.
Direct Link  |  

Rizzolatti, G. and L. Craighero, 2004. The mirror-neuron system. Annu. Rev. Neurosci., 27: 169-192.
CrossRef  |  Direct Link  |  

Russell, J.A., 1980. A circumplex model of affect. J. Personality Social Psychol., 39: 1161-1178.
Direct Link  |  

Schmidt, L.A. and L.J. Trainor, 2001. Frontal brain electrical activity (EEG) distinguishes valence and intensity of musical emotions. Cogn. Emotion, 15: 487-500.

Teplan, M., 2002. Fundamentals of EEG measurement. Meas. Sci. Rev., 2: 1-11.
Direct Link  |  

Zhong, M., F. Lotte, M. Girolami and A. Lecuyer, 2008. Classifying EEG for brain computer interfaces using gaussian processes. Pattern Recogn. Lett., 29: 354-359.
CrossRef  |