Time-frequency analysis of EEG signals for human emotion detection

IFMBE Proceedings

Volumn 21 IFMBE, Issue 1, 2008, Pages 262-265

  Murugappan, M ^a   Rizon, M ^a   Nagarajan, R ^a   Yaacob, S ^a   Hazry, D ^a   Zunaidi, I ^a  

^a UNIVERSITY MALAYSIA PERLIS   (Malaysia)

Author keywords

EEG; Fuzzy C Means clustering (FCM); Human Emotions; Wavelet Transform

Indexed keywords

BIOMEDICAL ENGINEERING; DISCRETE WAVELET TRANSFORMS; ELECTROENCEPHALOGRAPHY; ENERGY EFFICIENCY; EXTRACTION; FEATURE EXTRACTION; FUZZY SYSTEMS; SIGNAL ANALYSIS; SPEECH RECOGNITION; WAVELET TRANSFORMS;

EEG(ELECTROENCEPHALOGRAM); EMOTION RECOGNITION; FUZZY C MEANS CLUSTERING; HEALTHY SUBJECTS; HUMAN EMOTION; STATISTICAL FEATURES; TIME FREQUENCY ANALYSIS; UNSUPERVISED CLUSTERING;

BIOMEDICAL SIGNAL PROCESSING;

EID: 70449109810     PISSN: 16800737     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-69139-6_68     Document Type: Conference Paper

References (13)

1. Kim K.H, Band S.W., and Kim S.B. (2004). Emotion Recognition System using short-term monitoring of physiological signals. Proceedings on Medical & Biological Engineering & Computing, Vol 42, pp, 419-427.
2. Arikin R.C, Fujita M, Takagi T, Hasegawa R.(2001). Ethological modeling and architecture for an entertainment robot. IEEE Proceedings on Robotics and Automation, pp, 453-458. (Pubitemid 32815246)
3. Egon L, Broek V D, Schutt M H et.al. (2006). Computing Emotion Awareness Through Facial Electromyography. HCI/ECCV 2006, pp, 53-63.
4. Mallat S. G. (1989) A theory for multiresolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Anal. & Mach. Intelligence, Vol. 11(7), pp, 674-693.
5. Olivier R, Vetterli M. (1991). Wavelets and Signal processing. IEEE Signal processing Magazine, pp, 14-38.
6. DA-Zeng, Ming-Hu Ha (2004). Applications of Wavelet Transform in Medical Image Processing. IEEE Proce on Machine Learning and Cybernatics, Vol 3, pp, 1816-1821.
7. Qin S , Ji Z. (2004) Multi-Resolution Time-Frequency Analysis for Detection of Rhythms of EEG Signals. IEEE Proceedings on Signal Processing, Vol 4, pp, 338-341.
8. Glassman E L. (2005). A Wavelet-Like Filter Based on Neuron Action Potentials for Analysis of Human Scalp Electroencephalographs. IEEE Transactions on Biomedical Engineering , Vol 52(11), pp, 1851-1862.
9. Chethan P, Cox M. (2002), Frequency Characteristics of Wavelets, IEEE Transactions on Power Delivery, Vol 17 (3), pp, 800-804.
10. WRC at http://www.wordsworthcentre.co.uk
11. Manikandan M S ,Dandapat S. (2006).Wavelet threshold based ECG compression using USZZQ and Huffman coding of DSM. Journal of Biomedical Signal Processing and control, pp, 261-270. (Pubitemid 46268605)
12. Srinivasa K G, Venugopal K R, Patnaik L M. (2006), Feature Extraction using Fuzzy C- Means Clustering for Data Mining Systems, International Journal of Computer Science and Network Security, Vol 6 (3A), pp, 230-236.
13. Channel G, Kronegg J, Grandjean D, Pun T (2006). Emotion assessment: Arousal evaluation using EEG's and peripheral physiological signals. Lecture Notes on Computer Science, Vol 4105, Springer, pp, 530-537. (Pubitemid 44743885)