Abstract
While studying body postures in relation to mood is not a new concept, the majority of these studies rely on actors interpretations. This project investigated the temporal aspects of naturalistic body postures while users listened to mood inducing music. Video data was collected while participants listened to eight minutes of music during two sessions (happy and sad) in a within-subjects design. Subjectively reported mood scores validated that mood did differ significantly for valence and energy. Video analysis consisted of postural ratings for the head, shoulders, trunk, arms, and head and hand tapping. Results showed significant differences for the majority of these dimensions by mood. This study showed that certain body postures are indicative of certain mood states in a naturalistic setting.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Argyle, M.: Bodily communication. Taylor & Francis, Abington (1988)
Mancini, M., Bresin, R., Pelachaud, C.: A virtual head driven by music expressivity. IEEE Transaction on Audio, Speech, and Language Processing 15(6), 1833–1841 (2007)
Bernstein, N.: The Co-ordination and Regulation of Movements. Pergamo, Oxford (1967)
van den Broek, E., Janssen, J., Westerink, J.: Guidelines for Affective Signal Processing (ASP): from lab to life. In: Proceedings of Int. Conference on Affective Computing and Intelligent Interaction, pp. 1–6 (2009)
De Mello, S., Graesser, A.: Automatic detection of learner’s affect from gross body language. Applied Artificial Intelligence 23(2), 123–150 (2009)
Gendolla, G., Kruken, J.: Informational mood impact on effort-related cardiovascular response: The diagnostic value of mood counts. Emotion 2(3), 251–262 (2002)
Gerrards-Hesse, A., Spies, K., Hesse, F.: Experimental inductions of emotional states and their effectiveness: A review. British Journal of Psychology 85(1), 55–78 (1994)
Matthews, G., Jones, D., Chamberlain, A.: Refining the measurement of mood: the UWIST Mood Adjective Checklist. British Journal of Psychology 81(1), 17–42 (1990)
Mehrabian, A., Friar, J.: Encoding of attitude by a seated communicator via posture and position cues. Journal of Consulting and Clinical Psychology 33(3), 330 (1969)
Piferi, R., Kline, K., Younger, J., Lawler, K.: An alternative approach for achieving cardiovascular baseline: Viewing an aquatic video. International Journal of Psychophysiology 37(2), 207–217 (2000)
Thayer, R.: The Origin of Everyday Moods: Managing Energy, Tension, and Stress (1996)
van der Zwaag, M.D., Westerink, J.H.D.M.: Physiological patterns during music mood induction (submitted, 2011)
Wallbott, H.: Bodily expression of emotion. European Journal of Social Psychology 28(6), 879–896 (1998)
Castellano, G., Bresin, R., Camurri, A., Volpe, G.: User-centered control of audio and visual expressive feedback by full-body movements. In: Paiva, A.C.R., Prada, R., Picard, R.W. (eds.) ACII 2007. LNCS, vol. 4738, pp. 501–510. Springer, Heidelberg (2007)
Dahl, S., Friberg, A.: Visual perception of expressiveness in musicians body movements. Music Perception 24(5), 433–454 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Thrasher, M., Van der Zwaag, M.D., Bianchi-Berthouze, N., Westerink, J.H.D.M. (2011). Mood Recognition Based on Upper Body Posture and Movement Features. In: D’Mello, S., Graesser, A., Schuller, B., Martin, JC. (eds) Affective Computing and Intelligent Interaction. ACII 2011. Lecture Notes in Computer Science, vol 6974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24600-5_41
Download citation
DOI: https://doi.org/10.1007/978-3-642-24600-5_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24599-2
Online ISBN: 978-3-642-24600-5
eBook Packages: Computer ScienceComputer Science (R0)