Presentation 2014-01-23
Rhythm and Music Generation from Performance Motion in Gravity Point of Upper Body
Hiroki KAWAGUCHI, Arisa HAYASHI, Yosuke INO, Naoto YOSHIDA, Tomoko YONEZAWA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we introduce an investigation of relationship between the music tune and the movement of human body during musical performance. When humans are listening to or playing music, they show their unconscious or conscious bodily movements differed by various music tunes. Our system detects characteristic bodily motions using Kinect. Especially we focused on the movement of the center of gravity of the upper body. We hypothesized and tried to find that explicit characteristic of tempo and speed of music changes the bodily motions of performers and audiences. Additionally we built a music performance system using the user's bodily motion to change speed, volume, and explicit characteristic, as an inverse application of this research.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Motion capture / Pattern recognition / Playing musical instruments / Rhythm generation
Paper # PRMU2013-97,MVE2013-38
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Committee MVE
Conference Date 2014/1/16(1days)
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Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Rhythm and Music Generation from Performance Motion in Gravity Point of Upper Body
Sub Title (in English)
Keyword(1) Motion capture
Keyword(2) Pattern recognition
Keyword(3) Playing musical instruments
Keyword(4) Rhythm generation
1st Author's Name Hiroki KAWAGUCHI
1st Author's Affiliation Faculty of Informatics, Kansai University()
2nd Author's Name Arisa HAYASHI
2nd Author's Affiliation Faculty of Informatics, Kansai University
3rd Author's Name Yosuke INO
3rd Author's Affiliation Faculty of Informatics, Kansai University
4th Author's Name Naoto YOSHIDA
4th Author's Affiliation Graduate School of Informatics, Kansai University
5th Author's Name Tomoko YONEZAWA
5th Author's Affiliation Faculty of Informatics, Kansai University
Date 2014-01-23
Paper # PRMU2013-97,MVE2013-38
Volume (vol) vol.113
Number (no) 403
Page pp.pp.-
#Pages 4
Date of Issue