A1 Journal article (refereed)
Dance to your own drum : identification of musical genre and individual dancer from motion capture using machine learning (2020)


Carlson, Emily; Saari, Pasi; Burger, Birgitta; Toiviainen, Petri (2020). Dance to your own drum : identification of musical genre and individual dancer from motion capture using machine learning. Journal of New Music Research, 49 (2), 162-177. DOI: 10.1080/09298215.2020.1711778


JYU authors or editors


Publication details

All authors or editors: Carlson, Emily; Saari, Pasi; Burger, Birgitta; Toiviainen, Petri

Journal or series: Journal of New Music Research

ISSN: 1744-5027

eISSN: 0929-8215

Publication year: 2020

Volume: 49

Issue number: 2

Pages range: 162-177

Publisher: Routledge

Publication country: United Kingdom

Publication language: English

DOI: http://doi.org/10.1080/09298215.2020.1711778

Open Access: Publication channel is not openly available


Abstract

Machine learning has been used to accurately classify musical genre using features derived from audio signals. Musical genre, as well as lower-level audio features of music, have also been shown to influence music-induced movement, however, the degree to which such movements are genre-specific has not been explored. The current paper addresses this using motion capture data from participants dancing freely to eight genres. Using a Support Vector Machine model, data were classified by genre and by individual dancer. Against expectations, individual classification was notably more accurate than genre classification. Results are discussed in terms of embodied cognition and culture.


Keywords: motion detection; machine learning; music; dance (performing arts)

Free keywords: motion capture; machine learning; embodied cognition


Contributing organizations


Related projects

Dynamics of Music Cognition
Toiviainen, Petri
Academy of Finland
01/01/2014-31/12/2018
Dancing to the same beat - Music-induced social bonding
Burger, Birgitta
Academy of Finland
01/09/2016-30/08/2019


Ministry reporting: Yes

Reporting Year: 2020

Preliminary JUFO rating: 3


Last updated on 2020-09-07 at 23:03