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International Conference on Affective Computing and Intelligent Interaction

ACII 2011: Affective Computing and Intelligent Interaction pp 377–386Cite as

Mood Recognition Based on Upper Body Posture and Movement Features

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Part of the Lecture Notes in Computer Science book series (LNIP,volume 6974)

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.

Keywords

  • Affective body posture/movement
  • emotion recognition
  • body posture coding

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References

  1. Argyle, M.: Bodily communication. Taylor & Francis, Abington (1988)

    Google Scholar 

  2. 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)

    CrossRef  Google Scholar 

  3. Bernstein, N.: The Co-ordination and Regulation of Movements. Pergamo, Oxford (1967)

    Google Scholar 

  4. 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)

    Google Scholar 

  5. De Mello, S., Graesser, A.: Automatic detection of learner’s affect from gross body language. Applied Artificial Intelligence 23(2), 123–150 (2009)

    CrossRef  Google Scholar 

  6. Gendolla, G., Kruken, J.: Informational mood impact on effort-related cardiovascular response: The diagnostic value of mood counts. Emotion 2(3), 251–262 (2002)

    CrossRef  Google Scholar 

  7. 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)

    CrossRef  Google Scholar 

  8. 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)

    CrossRef  Google Scholar 

  9. 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)

    CrossRef  Google Scholar 

  10. 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)

    CrossRef  Google Scholar 

  11. Thayer, R.: The Origin of Everyday Moods: Managing Energy, Tension, and Stress (1996)

    Google Scholar 

  12. van der Zwaag, M.D., Westerink, J.H.D.M.: Physiological patterns during music mood induction (submitted, 2011)

    Google Scholar 

  13. Wallbott, H.: Bodily expression of emotion. European Journal of Social Psychology 28(6), 879–896 (1998)

    CrossRef  Google Scholar 

  14. 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)

    CrossRef  Google Scholar 

  15. Dahl, S., Friberg, A.: Visual perception of expressiveness in musicians body movements. Music Perception 24(5), 433–454 (2007)

    CrossRef  Google Scholar 

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Author information

Authors and Affiliations

  1. UCLIC, University College London, MPEB Gower Street, London, WC1E6BT, UK

    Michelle Thrasher & Nadia Bianchi-Berthouze

  2. Philips Research, High Tech Campus 34, 5656 AE, Eindhoven, The Netherlands

    Marjolein D. Van der Zwaag & Joyce H. D. M. Westerink

Authors
  1. Michelle Thrasher
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  2. Marjolein D. Van der Zwaag
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  3. Nadia Bianchi-Berthouze
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  4. Joyce H. D. M. Westerink
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Editor information

Editors and Affiliations

  1. University of Memphis, 202 Psychology Building, 38152, Memphis, TN, USA

    Sidney D’Mello & Arthur Graesser & 

  2. Technische Universität München, Arcisstraße 21, 80333, München, Germany

    Björn Schuller

  3. Laboratoire d’Informatique pour la Mécanique et les Sciences de l’Ingénieur (LIMSI-CNRS), Bâtiment 508, 91403, Orsay Cedex, France

    Jean-Claude Martin

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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

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  • 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)