Change search
ReferencesLink to record
Permanent link

Direct link
Expressiveness of musician's body movements in performances on marimba
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Music Acoustics.
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Music Acoustics.ORCID iD: 0000-0003-2926-6518
2004 (English)In: Gesture-Based Communication in Human-Computer Interaction / [ed] Camurri, A.; Volpe, G., Genoa: Springer Verlag , 2004, 479-486 p.Conference paper (Refereed)
Abstract [en]

To explore to what extent emotional intentions can be conveyed through musicians’ movements, video recordings were made of amarimba player performing the same piece with the intentions Happy, Sad, Angry and Fearful. 20 subjects were presented video clips, without sound, and asked to rate both the perceived emotional content as well as the movement qualities. The video clips were presented in different conditions, showing the player to different extent. The observers’ ratings forthe intended emotions confirmed that the intentions Happiness, Sadness and Anger were well communicated, while Fear was not. Identification of the intended emotion was only slightly influenced by the viewing condition. The movement ratings indicated that there were cues that the observers used to distinguish between intentions, similar to cues found for audio signals in music performance.

Place, publisher, year, edition, pages
Genoa: Springer Verlag , 2004. 479-486 p.
, Lecture Notes in Artificial Intelligence, ISSN 0302-9743 ; 2915
National Category
Computer Science Language Technology (Computational Linguistics)
URN: urn:nbn:se:kth:diva-51850ScopusID: 2-s2.0-7444250305OAI: diva2:465143
The 5th International Gesture Workshop, GW 2003, Genova, Italy, April 15-17, 2003
tmh_import_11_12_14. QC 20111229Available from: 2011-12-14 Created: 2011-12-14 Last updated: 2011-12-29Bibliographically approved

Open Access in DiVA

No full text


Search in DiVA

By author/editor
Dahl, SofiaFriberg, Anders
By organisation
Music Acoustics
Computer ScienceLanguage Technology (Computational Linguistics)

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 19 hits
ReferencesLink to record
Permanent link

Direct link