Laughter Type Recognition from Whole Body Motion

Harry J. Griffin, Min S H Aung, Bernardino Romera-Paredes, Ciaran McLoughlin, Gary McKeown, William Curran, Nadia Bianchi-Berthouze

Research output: Chapter in Book/Report/Conference proceedingConference contribution

29 Citations (Scopus)
370 Downloads (Pure)

Abstract

Despite the importance of laughter in social interactions it remains little studied in affective computing. Respiratory, auditory, and facial laughter signals have been investigated but laughter-related body movements have received almost no attention. The aim of this study is twofold: first an investigation into observers' perception of laughter states (hilarious, social, awkward, fake, and non-laughter) based on body movements alone, through their categorization of avatars animated with natural and acted motion capture data. Significant differences in torso and limb movements were found between animations perceived as containing laughter and those perceived as nonlaughter. Hilarious laughter also differed from social laughter in the amount of bending of the spine, the amount of shoulder rotation and the amount of hand movement. The body movement features indicative of laughter differed between sitting and standing avatar postures. Based on the positive findings in this perceptual study, the second aim is to investigate the possibility of automatically predicting the distributions of observer's ratings for the laughter states. The findings show that the automated laughter recognition rates approach human rating levels, with the Random Forest method yielding the best performance.
Original languageEnglish
Title of host publicationProceedings - 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013
Pages349-355
Number of pages7
DOIs
Publication statusPublished - 2013
Event2013 5th Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013 - Geneva, Switzerland
Duration: 02 Sep 201305 Sep 2013

Conference

Conference2013 5th Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013
CountrySwitzerland
CityGeneva
Period02/09/201305/09/2013

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Keywords

  • Automatic emotion recognition
  • Automatic laughter type recognition
  • Body movement
  • Laughter
  • Laughter type perception

Cite this

Griffin, H. J., Aung, M. S. H., Romera-Paredes, B., McLoughlin, C., McKeown, G., Curran, W., & Bianchi-Berthouze, N. (2013). Laughter Type Recognition from Whole Body Motion. In Proceedings - 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013 (pp. 349-355). [6681455] https://doi.org/10.1109/ACII.2013.64