Automated Analysis of Body Movement in Emotionally Expressive Piano Performances
Author(s) -
Ginevra Castellano,
Marcello Mortillaro,
Antonio Camurri,
Gualtiero Volpe,
Klaus R. Scherer
Publication year - 2008
Publication title -
music perception an interdisciplinary journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.584
H-Index - 57
eISSN - 1533-8312
pISSN - 0730-7829
DOI - 10.1525/mp.2008.26.2.103
Subject(s) - movement (music) , psychology , motion (physics) , dynamics (music) , expression (computer science) , motion capture , emotional expression , piano , communication , cognitive psychology , computer science , artificial intelligence , acoustics , art , aesthetics , pedagogy , programming language , physics
Emotional expression in music performance includes important cues arising from the body movement of the musician. This movement is related to both the musical score execution and the emotional intention conveyed. In this experiment, a pianist was asked to play the same excerpt with different emotionally expressive intentions. The aim was to verify whether different expressions could be distinguished based on movement by trying to determine which motion cues were most emotion-sensitive. Analyses were performed via an automated system capable of detecting the temporal profiles of two motion cues: the quantity of motion of the upper body and the velocity of head movements. Results showed that both were sensitive to emotional expression, especially the velocity of head movements. Further, some features conveying information about movement temporal dynamics varied among expressive conditions allowing emotion discrimination. These results are in line with recent theories that underlie the dynamic nature of emotional expression
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