Biosignals analysis and its application in a performance setting : Towards the development of an emotional-imaging generator

BIOSIGNALS 2008 - Proceedings of the 1st International Conference on Bio-inspired Systems and Signal Processing

Volumn 1, Issue , 2008, Pages 253-258

  Benovoy, Mitchel ^a   Cooperstock, Jeremy R ^a   Deitcher, Jordan ^b  

^a MCGILL UNIVERSITY   (Canada)

^b NONE

Author keywords

Biosignals; Emotional Imaging; Emotions; Instrument; Pattern Recognition; Performance Art; Signal Processing

Indexed keywords

BIOSIGNALS; BLOOD VOLUME PULSE; COMPUTERIZED SYSTEMS; DEGREE OF CONFIDENCE; DIMENSIONALITY REDUCTION; EMOTIONAL IMAGING; EMOTIONAL STATE; EMOTIONS; GALVANIC SKIN RESPONSE; HUMAN SUBJECTS; LINEAR DISCRIMINANT ANALYSIS; MEDIA ARTS; PATTERN RECOGNITION TECHNIQUES; PERFORMANCE ART; PHYSIOLOGICAL DATA; RECOGNITION RATES; SEQUENTIAL FEATURE SELECTIONS;

DISCRIMINANT ANALYSIS; FACE RECOGNITION; KNOWLEDGE MANAGEMENT; SIGNAL PROCESSING;

HUMAN COMPUTER INTERACTION;

EID: 70350433134     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Anders S., Lotze M., Erb M., Grodd W., Birbaumer N., 2004. Brain activity underlying Emotional valence and arousal: A response-related fMRI study. Human Brain Mapping, Vol. 23, p. 200-209.
2. Bartlett, M.S., Hager, J.C., Ekman, P., Sejnowski, T.J., 1999. Measuring facial expressions by computer image analysis. Psychophysiology, Vol. 36, p. 253-263.
3. Black, M.J., Yacoob, Y., 1995. Recognizing facial expressions in image sequences using local parameterized models of image motion. ICCV.
4. Cacioppo, J., Tassinary, L.G., 1990. Inferring psychological significance from physiological signals. American Psychologist, Vol 45, p. 16-28.
5. Ekman, P., Levenson, R.W., Friesen, W.V., 1983. Autonomic Nervous System Activity Distinguishes Between Emotions. Science, 221 (4616), p. 1208-1210.
6. Ekman P., 2005. Emotion in the human face, Cambridge University Press, p. 39-5 5.
7. Lyons, M. Budynek, J., Akamatsu, 5. 1999. Automatic Classficarion of Single Facial Images. IEEE PAMI, vol. 21,no. 12.
8. Oppenheim, A.V., Schafer, R.W., 1989. Discrete-Time Signal Processing, Englewood Cliffs, N.J.: Prentice- Hall.
9. Picard, R.W., Vyzas, E., Healey, J., 2001. Toward machine emotional intelligence: analysis of affective physiological state. IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 23, Issue IO,p. 1175-1191.
10. Posner J., Russell J.A., Peterson B.S., 2005. The circumplex model of affect: an integrative approach to affective neuroscience, cognitive development, and psychopathology. Development and Psychopatholy, p. 7 15-734.
11. Ververidis, D., Kotropoulos, C., Pitas, I., 2004. Automatic emotional speech classification, IEEE ICASSP.
12. Watanuki S., Kim Y.K., 2005. Physiological responses induced by pleasant stimuli. Journal of Physiological Anthropology and Applied Human Science, p. 135-138.