References
- Ekman. P., Basic Emotions, Chapter 3 in T. Dalgleish and M. Power (Eds.), Handbook of Cognition and Emotion. Sussex, U.K.: John Wiley & Sons, Ltd., 1999. DOI: http://dx.doi.org/10.1002/0470013494
- Seyyed Abed Hosseini and Mohammad Bagher Naghibi-Sistani, Classification of Emotional Stress Using Brain Activity, Applied Biomedical Engineering, Dr. Gaetano Gargiulo (Ed.), InTech, Available from: http://www.intechopen.com/books/applied-biomedical-engineering/classification-ofem otional-stress-using-brain-activity, 2011.
- Horlings, R., Emotion recognition using brain activity, Man-Machine Interaction Group, 2008. DOI: http://dx.doi.org/10.1145/1500879.1500888
- Jerrita Selvaraj, Murugappan Murugappan, et al., Classification of emotional states from electrocardiogram signals: a non-linear approach based on hurst, BioMedical Engineering OnLine, 12:44, March, 2013. DOI: http://dx.doi.org/10.1186/1475-925X-12-44
- J. Wagner, J. Kim, and E. Andre, From physiological signals to emotions: Implementing and comparing selected methods for feature extraction and classification, IEEE International Conference on Multimedia and Expo, Amsterdam, pp.940-943, 2005. DOI: http://dx.doi.org/10.1109/ICME.2005.1521579
- F. Nasoz, K. Alvarez, C. L. Lisetti, and N. Finkelstein, Emotion recognition from physiological signals for user modeling of affect, International Journal od Cognition, Technology and Work-Special Issue on Presence, vol.6, pp. 1-8, 2003.
- Choubeila Maaoui and Alain Pruski, Emotion Recognition through Physiological Signals for Human- Machine Communication, Cutting Edge Robotics 2010, Vedran Kordic (Ed.), InTech, Available from: http://www.intechopen.com/books/cutting-edge-robotics-2010/emotion-recognitionthr ough-physiological-signals-for-human-machine-communi cation, 2010.
- R. Cowie, E. Douglas-Cowie, N. Tsapatsoulis, G. Votsis, S. Kollias, W. Fellenz and J. G. Taylor, Emotion recognition in human computer interaction, IEEE Signal Process. Mag., vol.18, pp.32-80, January, 2001. DOI: http://dx.doi.org/10.1109/79.911197
- Emily Mower, A Framework for Automatic Human Emotion Classification Using Emotion Profiles, IEEE Transactions on Audio, Speech, and Language Processing, vol.19, pp.1057-1070, July, 2011. DOI: http://dx.doi.org/10.1109/TASL.2010.2076804
- WooJin Choi, A classification analysis of negative emotion based on PPG signal using Fuzzy-GA, July, 2007.
- Valtino X. Afonso, ECG QRS Detection, Biomedical Digital Signal Processing, pp236-264.
- Foteini Agrafioti, ECG Pattern Analysis for Emotion Detection, IEEE Transactions on Affective Computing, vol.3, 2012. DOI: http://dx.doi.org/10.1109/T-AFFC.2011.28
- XU Ya and LIU Guang-Yuan, A Method of Emotion Recognition Based on ECG Signal, International Conference on Computational Intelligence and Natural Computing, pp.202-205, 2009. DOI: http://doi.ieeecomputersociety.org/10.1109/CINC.2009.102
- Murugappan Murugappan, Nagarajan Ramachandran and Yaacob Sazali, Classification of human emotion from EEG using discrete wavelet transform, J. Biomedical Science and Engineering, vol.3, pp.390-396, April, 2010. DOI: http://dx.doi.org/10.4236/jbise.2010.34054
- Zhai, J. and Barreto, A., Stress Detection in Computer Users Based on Digital Signal Processing of Noninvasive Physiological Variables, The 28th Annual International Conference Engineering in Medicine and Biology Society, pp.1355-1358, 2006. DOI: http://dx.doi.org/10.1109/IEMBS.2006.259421
- Guanghua Wu, Guangyuan Liu and Min Hao, The analysis of emotion recognition from GSR based on PSO, 2010 International Symposium on Intelligence Information Processing and Trusted Computing, pp.360-363, 2010. DOI: http://dx.doi.org/10.1109/IPTC.2010.60
- R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, Wiley Interscience Publication, 2000.
- David E. Goldberg, Genetic Algorithm in Search, Optimization, and Machine Learning, Addison_Wesley Professional, 1 edition, 1989.
- Joseph E. LeDoux, Evolution of human emotion: A view through fear, M. A. Hofman and D. Falk (Eds.) Progress in Brain Research, vol.195, 2012.
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