Towards a smart glove: Arousal recognition based on textile Electrodermal Response

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 3598-3601

  Valenza, Gaetano ^a   Lanatà, Antonio ^a   Scilingo, Enzo Pasquale ^a   De Rossi, Danilo ^a  

^a UNIVERSITY OF PISA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); TEXTILES;

AUTOMATIC RECOGNITION SYSTEM; CROSS VALIDATION; ELECTRODERMAL RESPONSE; EMOTION RECOGNITION; FEATURE-BASED; MULTI-CLASS CLASSIFICATION; PHYSIOLOGICAL DATA; PICTURE SYSTEM; SENSING FABRIC; SMART GLOVES; TEXTILE ELECTRODES;

FEATURE EXTRACTION;

EID: 78650844047     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5627453     Document Type: Conference Paper

References (17)

1. R. W. Picard, E. Vyzas, and J. Healey: Toward Machine Emotional Intelligence: Analysis of Affective Physiological State, IEEE Transactions Pattern Analysis and Machine Intelligence, Vol.23, No.10, pp.1175-1191, Oct. 2001
2. F. Nasoz, K. Alvarez, C. L. Lisetti, N. Finkelstein: Emotion Recognition from Physiological Signals for Presence Technologies, International Journal of Cognition, Technology and Work, Special Issue.
3. J. Healey and R.W. Picard, "Digital Processing of Affective Signals," Proc. IEEE Int'l Conf. Acoustics, Speech, and Signal Processing, pp. 3749-3752, 1998.
4. Center for the Study of Emotion and Attention (CSEA-NIMH), The International Affective Picture System: Digitized Photographs, Center for Research in Psychophysiology, Univ. of Florida, 1995
5. J. Posner, J.A. Russel, and B.S. Peterson, "The circumplex model of affect: An integrative approach to affective neuroscience, cognitive development, and psychopathology", Dev Psychopathol., 2005, 17(3): 715-734.
6. J.Kim, and E. Andrè, "Emotion Recognition based on Physiological changes in music listening", IEEE trans. on pattern analysis and machine intelligence, vol 30, n. 12, December 2008
7. J. Wagner, J. Kim, E. Andrè, "From Physiological signals to emotions: implementing and comparing selected methods for feature extraction and classification", IEEE International Conference on Multimedia and Expo, 2005.
8. P.H. Venables, Electrodermal activity. Ann N YAcad of Sci 620P:192-207, 1991.
9. M.S. Christie, Electrodermal activity in the 1980s: areview. J R Soc Med 74:616-622, 1981.
10. P.J. Lang, R. Simons, M. Balaban, R. Simons, "Attention and orienting", Psycology Press, 1997
11. D. Sabatinelli, P.J. Lang, A. Keil, and M.M. Bradley, "Emotional perception: Correlation of functional MRI and event-related potentials", Cerebral cortex, vol 17, no. 5, pp. 1085-1091, 2007.
12. K. C. Chua et.al., Cardiac state diagnosis using higher order spectra of heart rate variability, Journal of Medical Engineering e Technology, vol. 32, no. 2, p. 145 to 155, March/April 2008.
13. R. Duda, P. Hart, and D. Stork, Pattern classification. 2nd edition, John Wiley and Sons, 2001.
14. F. Heijden, R. Duin, D. Ridder, and D. Tax, Classification, Parameter Estimation and State Estimation. John Wiley, 2004
15. J.-P. Eckmann, S. Oliffson Kamphorst and D. Ruelle, Recurrence Plots of Dynamical Systems, 1987, Europhys. Lett., 4, 973.
16. L. L. Trulla, A. Giuliani, J. P. Zbilut and C. L. Webber, Jr, Recurrence quantification analysis of the logistic equation with transients, Physics Letters A Volume 223, Issue 4, Pages 255-260.
17. Peng C-K, Havlin S, Stanley HE, Goldberger AL. Quantification of scaling exponent and crossover phenomena in nonstationary heartbeat time series. Chaos 1995;5:82-87