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Automatic Recognition of Experienced Emotional State from Body Movement

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Human-Computer Interaction. Theory, Methods and Tools (HCII 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12762))

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Abstract

Although body movement carries information about a person’s emotional state, this modality is not widely used in automatic emotion measurement systems. With this paper, we address the question of the automatic recognition of a person’s affective state by analyzing the way a person moves. We present the approach which was used to build a classifier of experienced, non-acted emotions. To collect the data to train and validate the classifier, a controlled laboratory study was conducted. During the study, the music mood induction procedure was used to evoke different emotions in the participants. The participant’s movement was recorded using a depth sensor, two accelerometers, and two electromyography sensors. An accuracy of 43% was achieved to recognize four emotion classes, corresponding to four quadrants of the valence-arousal space. For the participants with lower dance or movement proficiency, recognition was more accurate. The same was discovered for the participants with higher comfort levels of moving in front of a camera. The findings show the potential for the automatic analysis of a person’s body movements to gather information about an affective state.

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Acknowledgement

We are grateful for Martin Burghart and Sonia Sobol’s help to finalize the manuscript.

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Authors and Affiliations

  1. Quality and Usability Lab, Technische Universität Berlin, Berlin, Germany

    Jan-Niklas Voigt-Antons, Petr Devaikin & Tanja Kojić

  2. German Research Center for Artificial Intelligence (DFKI), Berlin, Germany

    Jan-Niklas Voigt-Antons

Authors
  1. Jan-Niklas Voigt-Antons
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  2. Petr Devaikin
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  3. Tanja Kojić
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Corresponding author

Correspondence to Jan-Niklas Voigt-Antons .

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Editors and Affiliations

  1. The Open University of Japan, Chiba, Japan

    Masaaki Kurosu

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Voigt-Antons, JN., Devaikin, P., Kojić, T. (2021). Automatic Recognition of Experienced Emotional State from Body Movement. In: Kurosu, M. (eds) Human-Computer Interaction. Theory, Methods and Tools. HCII 2021. Lecture Notes in Computer Science(), vol 12762. Springer, Cham. https://doi.org/10.1007/978-3-030-78462-1_49

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  • DOI: https://doi.org/10.1007/978-3-030-78462-1_49

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78461-4

  • Online ISBN: 978-3-030-78462-1

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