Bio-sensing for emotional characterization without word labels

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5612 LNCS, Issue PART 3, 2009, Pages 693-702

  Verhoef, Tessa ^a   Lisetti, Christine ^b   Barreto, Armando ^c   Ortega, Francisco ^b   Van Der Zant, Tijn ^d   Cnossen, Fokie ^d  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

^b School of Computing and Information Sciences

^c FLORIDA INTERNATIONAL UNIVERSITY   (United States)

^d UNIVERSITY OF GRONINGEN   (Netherlands)

Author keywords

Affective Computing; Bio sensing; Emotion Recognition

Indexed keywords

AFFECTIVE COMPUTING; BIO-SENSING; EMOTION RECOGNITION; FUTURE DIRECTIONS; LESSONS LEARNED; PHYSIOLOGICAL SIGNALS;

FACE RECOGNITION; KNOWLEDGE MANAGEMENT;

HUMAN COMPUTER INTERACTION;

EID: 70350306976     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02580-8_76     Document Type: Conference Paper

References (14)

1. Russell, J.A.: A circumplex model of affect. Journal of Personality and Social Psychology 39(6), 1161-1178 (1980)
2. Russell, J.A., Mehrabian, A.: Evidence for a three-factor theory of emotions. Journal of Research in Personality 11(3), 273-294 (1977)
3. Scherer, K.R.: What are emotions? and how can they be measured? Social Science Information 44(4), 695-729 (2005)
4. Ekman, P.: An argument for basic emotions. Emotion: Themes in the Philosophy of the Mind (1992)
5. Wierzbicka, A.: Defining emotion concepts. Cognitive Science 16(4), 539-581 (1992)
6. Peter, C., Herbon, A.: Emotion representation and physiology assignments in digital systems. Interacting with Computers 18(2), 139-170 (2006)
7. Lisetti, C.L., Nasoz, F.: Using noninvasive wearable computers to recognize human emotions from physiological signals. EURASIP Journal on Applied Signal Processing 2004(11), 1672-1687 (2004)
8. Dishman, R.K., Nakamura, Y., Garcia, M.E., Thompson, R.W., Dunn, A.L., Blair, S.N.: Heart rate variability, trait anxiety, and perceived stress among physically fit men and women. International Journal of Psychophysiology 37(2), 121-133 (2000)
9. Hilton, S.M.: The defence-arousal system and its relevance for circulatory and respiratory control. J. Exp. Biol. 100(1), 159-174 (1982)
10. Gross, J.J., Levenson, R.W.: Emotion elicitation using films. Cognition & Emotion 9(1), 87-108 (1995)
11. Nasoz, F., Alvarez, K., Lisetti, C.L., Finkelstein, N.: Emotion recognition from physiological signals using wireless sensors for presence technologies. Cognition, Technology & Work 6(1), 4-14 (2004)
12. Barreto, A., Zhai, J., Adjouadi, M.: Non-intrusive Physiological Monitoring for Automated Stress Detection in Human-Computer Interaction. In: Lew, M., Sebe, N., Huang, T.S., Bakker, E.M. (eds.) HCI 2007. LNCS, vol. 4796, pp. 29-38. Springer, Heidelberg (2007)
13. Duda, R.O., Hart, P.E., Stork, D.G.: Pattern classification and scene analysis. Wiley, New York (1973)
14. Barrett, F.L., Russell, J.A.: Independence and bipolarity in the structure of affect. Journal of Personality and Social Psychology 74(4), 967-984 (1998)