Using speech data to recognize emotion in human gait

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

Volumn 7559 LNCS, Issue , 2012, Pages 52-64

  Lim, Angelica ^a   Okuno, Hiroshi G ^a  

^a KYOTO UNIVERSITY   (Japan)

Author keywords

affect recognition; emotional gait; emotional voice; robot emotions

Indexed keywords

AFFECT RECOGNITION; CROSS-MODAL; EMOTION RECOGNITION; EMOTIONAL GAIT; GAUSSIAN MIXTURE MODEL; HUMAN EMOTION; HUMAN GAIT; HUMAN SPEECH; LOW-LEVEL FEATURES; MENTAL HEALTH; RECOGNITION OF EMOTION; ROBOT EMOTIONS; SPEECH DATA;

SOCIAL SCIENCES;

SPEECH RECOGNITION;

EID: 84867628984     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-34014-7_5     Document Type: Conference Paper

References (28)

1. Clynes, M.: Sentics: The Touch of the Emotions. Prism Press, UK (1989)
2. Pollick, F.E., Paterson, H.M., Bruderlin, A., Sanford, A.J.: Perceiving affect from arm movement. J. Personal. 82, 51-61 (2001)
3. Van Bezooijen, R., Van Otto, S.A., Heenan, T.A.: Recognition of vocal dimensions of emotion: A three-nation study to identify universal characteristics. J. Cross-Cultural Psych. 14, 387-406 (1983)
4. Juslin, P.N., Laukka, P.: Communication of emotions in vocal expression and music performance: different channels, same code? Psychol. Bull. 129(5), 770-814 (2003)
5. Spencer, H.: The origin and function of music. Fraser's Magazine 56, 396-408 (1857)
6. Scherer, K.H.: Vocal affect expression: A review and a model for future research. Psychol. Bull. 99, 143-165 (1986)
7. Snowdon, C.T.: Expression of emotion in non-human animals. In: Davidson, R.J., Sherer, K.H., Goldsmith, H.H. (eds.) Handbook of affective sciences, pp. 457-480. Oxford University Press, London (2003)
8. Breazeal, C.: Designing sociable robots, 1st edn. The MIT Press, Cambridge (2004)
9. Lim, A., Ogata, T., Okuno, H.G.: Towards expressive musical robots: a cross-modal framework for emotional gesture, voice and music. EURASIP J. Audio, Speech, and Music Proc. 2012(3) (2012)
10. Lim, A., Ogata, T., Okuno, H.G.: Converting emotional voice to motion for robot telepresence. In: Humanoids, Bled, pp. 472-479 (2011)
11. Cowie, R., et al.: Emotion recognition in human-computer interaction. IEEE Signal Proc. Magazine 18(1), 32-80 (2001)
12. Fernandez, R., Picard, R.W.: Classical and Novel Discriminant Features for Affect Recognition from Speech. In: INTERSPEECH, pp. 4-8 (2005)
13. Mion, L., De Poli, G.: Score-independent audio features for description of music expression. IEEE Trans. Audio Speech Lang. Process. 16(2), 458-466 (2008)
14. Livingstone, S.R., Brown, A.R., Muhlberger, R., Thompson, W.F.: Modifying score and performance changing musical emotion: a computational rule system for modifying score and performance. Comput. Music J. 34(1), 41-65 (2010)
15. Amaya, K., Bruderlin, A., Calvert, T.: Emotion from motion. Graph. In: Interface, pp. 222-229 (1996)
16. Pelachaud, C.: Studies on gesture expressivity for a virtual agent. Speech Commun. 51(7), 630-639 (2009)
17. Camurri, A., Volpe, G.: Communicating expressiveness and affect in multimodal interactive systems. Multimedia 12(1), 43-53 (2005)
18. Douglas-Cowie, E., Cowie, R., Sneddon, I., Cox, C., Lowry, O., McRorie, M., Martin, J.-C., Devillers, L., Abrilian, S., Batliner, A., Amir, N., Karpouzis, K.: The HUMAINE Database: Addressing the Collection and Annotation of Naturalistic and Induced Emotional Data. In: Paiva, A.C.R., Prada, R., Picard, R.W. (eds.) ACII 2007. LNCS, vol. 4738, pp. 488-500. Springer, Heidelberg (2007)
19. Roether, C.L., Omlor, L., Christensen, A., Giese, M.A.: Critical features for the perception of emotion from gait. J. Vision 9(6), 15, 1-32 (2009)
20. Montepare, J.M., Goldstein, S.B.: The identification of emotions from gait information. J. Nonverbal Behav. 11(1), 33-42 (1987)
21. Janssen, D., et al.: Recognition of emotions in gait patterns by means of artificial neural nets. J. Nonverbal Behav. 32, 79-92 (2008)
22. Unuma, M., Anjyo, K., Takeuchi, R.: Fourier principles for emotion-based human figure animation. In: SIGGRAPH, Los Angeles, pp. 91-96 (1995)
23. Montepare, J., Koff, E., Zaichik, D., Albert, M.: The use of body movements and gestures as cues to emotions in younger and older adults. J. Nonverbal Behav. 23(2), 133-152 (1999)
24. Karg, M., Kuhnlenz, K., Buss, M.: Recognition of affect based on gait patterns. IEEE Trans. Sys., Man, Cyber. 40(4), 1050-1061 (2010)
25. Ma, Y., Paterson, H.M., Pollick, F.E.: A motion-capture library for the study of identity, gender, and emotion perception from biological motion. Behav. Res. Meth., Inst., & Comp. 38, 134-141 (2006)
26. Bernhardt, D.: Detecting emotions from everyday body movements. Presenccia PhD Sym., Barcelona (2007)
27. Pedregosa, F., et al.: Scikit-learn: Machine Learning in Python. J. Mach. Learn. Res. 12, 2825-2830 (2011)
28. Parrot, W.G.: Emotions in social psychology. Philadelphia Press, Philadelphia (2001)