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2011 | OriginalPaper | Buchkapitel

Mood Recognition Based on Upper Body Posture and Movement Features

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

Erschienen in: Affective Computing and Intelligent Interaction

Verlag: Springer Berlin Heidelberg

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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.

Metadaten
Titel
Mood Recognition Based on Upper Body Posture and Movement Features
verfasst von
Michelle Thrasher
Marjolein D. Van der Zwaag
Nadia Bianchi-Berthouze
Joyce H. D. M. Westerink
Copyright-Jahr
2011
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-24600-5_41

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