Real-time EEG-based emotion monitoring using stable features

Allen, J.J., Urry, H.L., Hitt, S.K., Coan, J.A.: The stability of resting frontal electroencephalographic asymmetry in depression. Psychophysiology 41(2), 269–280 (2004)

Bouton, M.E.: Learning and Behavior: A Contemporary Synthesis. Sinauer Associates, Sunderland (2007)

Bradley, M.M., Lang, P.J.: The international affective digitized sounds (; iads-2): affective ratings of sounds and instruction manual. Technical report B-3, University of Florida, Gainesville (2007)

Brown, L., Grundlehner, B., Penders, J.: Towards wireless emotional valence detection from EEG. In: Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE, pp. 2188–2191. IEEE (2011)

Chanel, G., Kierkels, J.J., Soleymani, M., Pun, T.: Short-term emotion assessment in a recall paradigm. Int. J. Hum.–Comput. Stud. 67(8), 607–627 (2009)

Chang, C.C., Lin, C.J.: Libsvm: a library for support vector machines. ACM Trans. Intell. Syst. Technol. (TIST) 2(3), 27 (2011)

Emotiv. http://www.emotiv.com . Accessed 26 Feb 2015

Frantzidis, C., Bratsas, C., Papadelis, C.L., Konstantinidis, E., Pappas, C., Bamidis, P.D., et al.: Toward emotion aware computing: an integrated approach using multichannel neurophysiological recordings and affective visual stimuli. Inf. Technol. Biomed. IEEE Trans. 14(3), 589–597 (2010)

Gasser, T., Bächer, P., Steinberg, H.: Test-retest reliability of spectral parameters of the EEG. Electroencephalogr. Clin. Neurophysiol. 60(4), 312–319 (1985)

Gasser, T., Jennen-Steinmetz, C., Verleger, R.: EEG coherence at rest and during a visual task in two groups of children. Electroencephalogr. Clin. Neurophysiol. 67(2), 151–158 (1987)

Gudmundsson, S., Runarsson, T.P., Sigurdsson, S., Eiriksdottir, G., Johnsen, K.: Reliability of quantitative EEG features. Clin. Neurophysiol. 118(10), 2162–2171 (2007)

Haptek. http://www.haptek.com . Accessed 28 Feb 2015

Higuchi, T.: Approach to an irregular time series on the basis of the fractal theory. Phys. D: Nonlinear Phenom. 31(2), 277–283 (1988)

Hosseini, S.A., Khalilzadeh, M.A., Naghibi-Sistani, M.B., Niazmand, V.: Higher order spectra analysis of EEG signals in emotional stress states. In: 2010 Second International Conference on Information Technology and Computer Science (ITCS), pp. 60–63. IEEE (2010)

Ishino, K., Hagiwara, M.: A feeling estimation system using a simple electroencephalograph. In: IEEE International Conference on Systems, Man and Cybernetics, 2003. vol. 5, pp. 4204–4209. IEEE (2003)

Kedem, B., Yakowitz, S.: Time Series Analysis by Higher Order Crossings. IEEE Press, Piscataway (1994)

Koelstra, S., Mühl, C., Soleymani, M., Lee, J.S., Yazdani, A., Ebrahimi, T., Pun, T., Nijholt, A., Patras, I.: Deap: a database for emotion analysis; using physiological signals. Affect. Comput. IEEE Trans. 3(1), 18–31 (2012)

Kondacs, A., Szabó, M.: Long-term intra-individual variability of the background EEG in normals. Clin. Neurophysiol. 110(10), 1708–1716 (1999)

Lan, Z., Sourina, O., Wang, L., Liu, Y.: Stability of features in real-time EEG-based emotion recognition algorithm. In: 2014 International Conference on Cyberworlds (CW), pp. 137–144. IEEE (2014)

Lang, P.J., Bradley, M.M., Cuthbert, B.N.: International affective picture system (iaps): affective ratings of pictures and instruction manual. Technical report A-8 (2008)

Li, M., Lu, B.L.: Emotion classification based on gamma-band EEG. In: Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE, pp. 1223–1226. IEEE (2009)

Lin, Y.P., Wang, C.H., Jung, T.P., Wu, T.L., Jeng, S.K., Duann, J.R., Chen, J.H.: EEG-based emotion recognition in music listening. Biomed. Eng. IEEE Trans. 57(7), 1798–1806 (2010)

Lin, Y.P., Wang, C.H., Wu, T.L., Jeng, S.K., Chen, J.H.: EEG-based emotion recognition in music listening: a comparison of schemes for multiclass support vector machine. In: IEEE International Conference on Acoustics, Speech and Signal Processing, 2009. ICASSP 2009, pp. 489–492. IEEE (2009)

Liu, Y., Sourina, O.: EEG databases for emotion recognition. In: 2013 International Conference on Cyberworlds (CW), pp. 302–309. IEEE (2013)

Liu, Y., Sourina, O.: Real-time fractal-based valence level recognition from EEG. In: Transactions on Computational Science XVIII, pp. 101–120. Springer (2013)

Liu, Y., Sourina, O.: Real-time subject-dependent EEG-based emotion recognition algorithm. In: Transactions on Computational Science XXIII, pp. 199–223. Springer (2014)

Liu, Y., Sourina, O., Nguyen, M.K.: Real-time EEG-based emotion recognition and its applications. In: Transactions on computational science XII, pp. 256–277. Springer (2011)

McGraw, K.O., Wong, S.P.: Forming inferences about some intraclass correlation coefficients. Psychol. Methods 1(1), 30 (1996)

Murugappan, M., Nagarajan, R., Yaacob, S.: Combining spatial filtering and wavelet transform for classifying human emotions using EEG signals. J. Med. Biol. Eng. 31(1), 45–51 (2011)

Petrantonakis, P.C., Hadjileontiadis, L.J.: Emotion recognition from EEG using higher order crossings. Inf. Technol. Biomed. IEEE Trans. 14(2), 186–197 (2010)

Petrantonakis, P.C., Hadjileontiadis, L.J.: A novel emotion elicitation index using frontal brain asymmetry for enhanced EEG-based emotion recognition. Inf. Technol. Biomed. IEEE Trans. 15(5), 737–746 (2011)

Petrantonakis, P.C., Hadjileontiadis, L.J.: Adaptive emotional information retrieval from EEG signals in the time-frequency domain. Signal Process. IEEE Trans. 60(5), 2604–2616 (2012)

Picard, R.W., Vyzas, E., Healey, J.: Toward machine emotional intelligence: analysis of affective physiological state. Pattern Anal. Mach. Intell. IEEE Trans. 23(10), 1175–1191 (2001)

Salinsky, M., Oken, B., Morehead, L.: Test-retest reliability in EEG frequency analysis. Electroencephalogr. Clin. Neurophysiol. 79(5), 382–392 (1991)

Sanei, S., Chambers, J.A.: EEG Signal Processing. Wiley, New York (2013)

Schaaff, K.: EEG-Based Emotion Recognition. Universitat Karlsruhe (TH), Karlsruhe (2008)

Schaaff, K., Schultz, T.: Towards an EEG-based emotion recognizer for humanoid robots. In: The 18th IEEE International Symposium on Robot and Human Interactive Communication, 2009. RO-MAN 2009, pp. 792–796. IEEE (2009)

Sohaib, A.T., Qureshi, S., Hagelbäck, J., Hilborn, O., Jerčić, P.: Evaluating classifiers for emotion recognition using EEG. In: Foundations of Augmented Cognition, pp. 492–501. Springer (2013)

Sourina, O., Liu, Y., Nguyen, M.K.: Real-time EEG-based emotion recognition for music therapy. J. Multimodal User Interf. 5(1–2), 27–35 (2012)

Tomarken, A.J., Davidson, R.J., Wheeler, R.E., Kinney, L.: Psychometric properties of resting anterior EEG asymmetry: temporal stability and internal consistency. Psychophysiology 29(5), 576–592 (1992)

Wang, X.W., Nie, D., Lu, B.L.: EEG-based emotion recognition using frequency domain features and support vector machines. In: Neural Information Processing, pp. 734–743. Springer (2011)

Williams, C.E., Stevens, K.N.: Emotions and speech: some acoustical correlates. J. Acoust. Soc. Am. 52(4B), 1238–1250 (1972)