Comparison of different wavelet features from EEG signals for classifying human emotions

2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 - Proceedings

Volumn 2, Issue , 2009, Pages 836-841

  Murugappan, M ^a   Nagarajan, R ^a   Yaacob, Sazali ^a  

^a UNIVERSITY MALAYSIA PERLIS   (Malaysia)

Author keywords

EEG; Emotions; KNN; LDA; Surface laplacian filtering; Wavelet transform

Indexed keywords

AGE GROUPS; AUDIO-VISUAL; CLASSIFICATION RATES; CROSS VALIDATION; EEG; EEG SIGNALS; ELECTROENCEPHALOGRAM SIGNALS; EMOTION CLASSIFICATION; EMOTION RECOGNITION; HUMAN EMOTION; K-NEAREST NEIGHBORS; LINEAR CLASSIFIERS; LINEAR DISCRIMINANT ANALYSIS; NONLINEAR FEATURES; PREPROCESS; STATISTICAL FEATURES; SURFACE LAPLACIAN; WAVELET FEATURES; WAVELET FUNCTION;

BRAIN COMPUTER INTERFACE; DISCRIMINANT ANALYSIS; FREQUENCY BANDS; INDUSTRIAL ELECTRONICS; INTERFACES (COMPUTER); LAPLACE TRANSFORMS; MAN MACHINE SYSTEMS; MATHEMATICAL TRANSFORMATIONS; SIGNAL PROCESSING; WAVELET TRANSFORMS;

ELECTROENCEPHALOGRAPHY;

EID: 76249092281     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIEA.2009.5356339     Document Type: Conference Paper

References (23)

1. H. Bung, and S. Furui, "Automatic Recognition and understanding of spoken languages-a first step toward natural human machine communication", Proceedings of IEEE, vol. 88, issue. 8, pp. 1142-1165, 2000.
2. R. Cowie, E. Douglas, N. Tsapatsoulis, G.Votsis, G. Kollias, W. Fellenz and J.G. Taylor, "Emotion Recognition in human-computer interaction", Transactions IEEE Signal Processing, pp. 3773-3776, 2001.
3. K. Takahashi, "Remarks on Emotion Recognition from Bio-Potential Signals", Int. Conf. on Autonomous Robots and Agents, 2004, pp. 186-191.
4. K. Takahashi, and A. Tsukaguchi, "Remarks on Emotion Recognition from Multimodal Bio-Potential Signals", IEEE Transactions on Industrial Technology, vol. 3, pp. 1654-1659, 2003.
5. G. Chanel, A.A. Karim, and T. Pun, "Valence-arousal evaluation using physiological signals in an emotion recall paradigm", Lecturer Notes in Computer Science, Springer, pp. 530-537, 2007.
6. H. K. Kyung, W.B. Seok, and R.K. Sang, "Development of person-independent emotion recognition system based on multiple physiological signals", Proceedings of Second Joint EMBS/BMES Conference, 2002, pp. 50-51.
7. L. Lan, and H.C. Ji, "Emotion Recognition using Physiological Signals", Lecture Notes on Computer Science, vol. 282, pp. 437-446, 2006.
8. H. Robert, D. Dragos, and J.M.R. Leon, "Emotion Recognition using Brain Activity", Int. Conference on Computer Systems and Technologies, 2008, pp. II.1-1 - II.1-6.
9. P.L. Yuan, H.W. Chi, L.W. Tien, K.J. Shyh, and H.C. Jyh, "Multilayer Perceptron for EEG Signal Classification during Listening to Emotional Music", IEEE Region 10 Conference (TENCON 2007), 2007, pp. 1-3.
10. J. Teixeira, V. Vinhas, L.P. Reis, and E. Oliveira, "Automatic Emotion Induction and Assessment Framework - Enhancing User Interfaces by Interpreting Users Multimodal Bio signals", Int. Conference on Bio-Inspired Systems and Signal Processing, 2009, pp. 487-490.
11. K.H. Kim, S.W. Band., and S.B. Kim, "Emotion Recognition System using short-term monitoring of physiological signals", Proceedings on Medical & Biological Engineering & Computing, vol. 42, pp. 419-427, 2004.
12. M.Murugappan, M Rizon, R.Nagarajan and S Yaacob, "Inferring of Human Emotion States using Multichannel EEG", International Journal of Soft Computing and Applications (IJSCA), EURO Journals, United Kingdom. (Accepted).
13. L.I. Aftanas, N.V. Reva, A.A. Varlamov, S.V. Pavlov, and V.P. Makhnev, "Analysis of Evoked EEG Synchronization and Desynchronization in Conditions of Emotional Activation in Humans: Temporal and Topographic Characteristics". Neuroscience and Behavioral Physiology, pp. 859-867, 2004.
14. M.Murugappan, M Rizon, R.Nagarajan, and S Yaacob, "An Investigation on visual and audiovisual stimulus based emotion recognition using EEG", Transactions on Medical Engineering and Informatics, vol. 1, no 3, pp. 342-356, 2009.
15. M.Murugappan, M Rizon, R.Nagarajan, S Yaacob, D Hazry, and I Zunaidi, "Time-Frequency Analysis of EEG Signals for Human Emotion Detection", IFMBE Proceedings, no. 21, pp. 262-265, 2008.
16. T. Jung, "Removing Electroencephalographic Artifacts by Blind Source Separation", Journal of Psychophysiology, vol. 37, no. 2, pp. 163-178, 2000.
17. P.S. Gott, E.C. Hughes, and Whipple, "Voluntary Control of Two Lateralized Conscious States: Validation by Electrical and Behavioral Studies", Journal of Neuropsychological, vol. 22, pp. 65-72, 1984.
18. B. Blankertz, R. Tomioka, S. Lemm, M. Kawanabe, and K.R. Muller, "Optimizing Spatial filters for Robust EEG Single-Trial Analysis", IEEE Transactions on Signal Processing, vol 25, no 1, pp. 41-56, 2008.
19. T.L. Dexon, and G.T. Livezey. "Wavelet-Based Feature Extraction for EEG Classification", IEEE Proceedings on EMBS, 1996, vol 3, pp. 1003-1004.
20. S.G. Mallat, "A Theory for Multi-Resolution Signal Decomposition: The Wavelet Representation", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 11, no 7, pp. 674-693, 1989.
21. A.C. Merzagora, S. Bunce, M. Izzetoglu, and B. Onaral, "Wavelet Analysis for EEG Feature Extraction in Deceptive Detection". IEEE Proceedings on EBMS, 2006, pp. 2434-2437.
22. E.L. Glassman, "A Wavelet-Like Filter Based on Neuron Action Potentials for Analysis of Human Scalp Electroencephalographs", IEEE Transactions on Biomedical Engineering, vol 52, no 11, pp. 1851-1862, 2005.
23. P. Chethan and M. Cox, "Frequency Characteristics of Wavelets", IEEE Transactions on Power Delivery, vol. 17, no. 3, pp. 800-804, 2002.