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2011 | OriginalPaper | Chapter

Mood Recognition Based on Upper Body Posture and Movement Features

Authors : Michelle Thrasher, Marjolein D. Van der Zwaag, Nadia Bianchi-Berthouze, Joyce H. D. M. Westerink

Published in: Affective Computing and Intelligent Interaction

Publisher: Springer Berlin Heidelberg

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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.

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Metadata
Title
Mood Recognition Based on Upper Body Posture and Movement Features
Authors
Michelle Thrasher
Marjolein D. Van der Zwaag
Nadia Bianchi-Berthouze
Joyce H. D. M. Westerink
Copyright Year
2011
Publisher
Springer Berlin Heidelberg
Book
Affective Computing and Intelligent Interaction

Print ISBN: 978-3-642-24599-2

Electronic ISBN: 978-3-642-24600-5

Copyright Year: 2011

DOI
https://doi.org/10.1007/978-3-642-24600-5_41

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