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Emotion recognition from music-induced movement

Edith Van Dyck UGent, Pieter Vansteenkiste UGent, Matthieu Lenoir UGent, Micheline Lesaffre UGent and Marc Leman UGent (2014) Joint Conference, Proceedings. p.128-132
abstract
Emotions color all aspects of our interaction with music. Not only composing music or playing a musical instrument, but also perceiving sounds and responding to them implicates the involvement of human emotions. An interesting type of musical interaction, in particular with regard to emotion research, is dance, which is believed to facilitate the expression of several different emotions in a non-verbal way. In this study, the aim was to examine emotion perception from dance movement. Thirty participants observed a selection of silent videos showing depersonalized avatars of dancers moving to an emotionally neutral musical stimulus after emotions of either sadness or happiness had been induced. After every film clip, the participants were asked to assess the emotional state of the dancer. Results revealed that the emotional state of the dancers was successfully identified. In addition, emotions were more often recognized for female dancers than for their male counterparts. Finally, results of eye tracking measurements showed that observers primarily focused on movements of the trunk when decoding emotional information from dance. The findings of this study show that induced emotions can be successfully recognized from dance movement. They also illustrate the significance of emotions in the coupling between music perception, cognition, and action.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
in
Joint Conference, Proceedings
editor
Moo Kyoung Song
pages
128 - 132
publisher
College of Music, Yonsei University
place of publication
Seoul, South Korea
conference name
Joint Conference (ICMPC-APSCOM - 2014)
conference location
Seoul, South Korea
conference start
2014-08-04
conference end
2014-08-08
language
English
UGent publication?
yes
classification
C1
copyright statement
I have retained and own the full copyright for this publication
id
5672060
handle
http://hdl.handle.net/1854/LU-5672060
date created
2014-08-12 11:30:00
date last changed
2017-01-02 09:53:24
@inproceedings{5672060,
  abstract     = {Emotions color all aspects of our interaction with music. Not only composing music or playing a musical instrument, but also perceiving sounds and responding to them implicates the involvement of human emotions. An interesting type of musical interaction, in particular with regard to emotion research, is dance, which is believed to facilitate the expression of several different emotions in a non-verbal way. In this study, the aim was to examine emotion perception from dance movement. Thirty participants observed a selection of silent videos showing depersonalized avatars of dancers moving to an emotionally neutral musical stimulus after emotions of either sadness or happiness had been induced. After every film clip, the participants were asked to assess the emotional state of the dancer. Results revealed that the emotional state of the dancers was successfully identified. In addition, emotions were more often recognized for female dancers than for their male counterparts. Finally, results of eye tracking measurements showed that observers primarily focused on movements of the trunk when decoding emotional information from dance. The findings of this study show that induced emotions can be successfully recognized from dance movement. They also illustrate the significance of emotions in the coupling between music perception, cognition, and action.},
  author       = {Van Dyck, Edith and Vansteenkiste, Pieter and Lenoir, Matthieu and Lesaffre, Micheline and Leman, Marc},
  booktitle    = {Joint Conference, Proceedings},
  editor       = {Kyoung Song, Moo },
  language     = {eng},
  location     = {Seoul, South Korea},
  pages        = {128--132},
  publisher    = {College of Music, Yonsei University},
  title        = {Emotion recognition from music-induced movement},
  year         = {2014},
}

Chicago
Van Dyck, Edith, Pieter Vansteenkiste, Matthieu Lenoir, Micheline Lesaffre, and Marc Leman. 2014. “Emotion Recognition from Music-induced Movement.” In Joint Conference, Proceedings, ed. Moo Kyoung Song, 128–132. Seoul, South Korea: College of Music, Yonsei University.
APA
Van Dyck, E., Vansteenkiste, P., Lenoir, M., Lesaffre, M., & Leman, M. (2014). Emotion recognition from music-induced movement. In M. Kyoung Song (Ed.), Joint Conference, Proceedings (pp. 128–132). Presented at the Joint Conference (ICMPC-APSCOM - 2014), Seoul, South Korea: College of Music, Yonsei University.
Vancouver
1.
Van Dyck E, Vansteenkiste P, Lenoir M, Lesaffre M, Leman M. Emotion recognition from music-induced movement. In: Kyoung Song M, editor. Joint Conference, Proceedings. Seoul, South Korea: College of Music, Yonsei University; 2014. p. 128–32.
MLA
Van Dyck, Edith, Pieter Vansteenkiste, Matthieu Lenoir, et al. “Emotion Recognition from Music-induced Movement.” Joint Conference, Proceedings. Ed. Moo Kyoung Song. Seoul, South Korea: College of Music, Yonsei University, 2014. 128–132. Print.