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Wearable DJ system: a new motion-controlled DJ system

Published: 29 October 2009 Publication History

Abstract

The recent reappreciation of music has helped to reestablish the need for the Disk Jockey(DJ), which is someone who selects and plays music. The DJ selects the music, smoothly changes from one song to another, applies sound effects to the music, and this in turn excites the audience. However, conventional DJs cannot get away from the booth because of all the equipment, and thus they are unable to freely perform. Therefore, in this study, we propose a Wearable DJ system that solves this problem that uses wearable computing and gesture recognition technologies. The proposed system enables DJs to perform DJ techniques by performing intuitive gesture operations using wearable acceleration sensors. We have actually used the proposed system on several event stages such as Kobe Luminarie 2007 in Japan. We have evaluated the accuracy of its gesture recognition by changing the parameters and have confirmed its effectiveness.

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Cited By

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  • (2019)Gazing Point Comparison Between Expert and Beginner DJs for Acquisition of Basic SkillsTransactions on Engineering Technologies10.1007/978-981-32-9808-8_13(153-164)Online publication date: 11-Oct-2019
  • (2013)A User Recognition Method Using Accelerometer for Electric AppliancesProceedings of the 2013 16th International Conference on Network-Based Information Systems10.1109/NBiS.2013.55(350-355)Online publication date: 4-Sep-2013

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cover image ACM Other conferences
ACE '09: Proceedings of the International Conference on Advances in Computer Entertainment Technology
October 2009
456 pages
ISBN:9781605588643
DOI:10.1145/1690388
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 October 2009

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  1. disc jockey wearable computing
  2. motion recognition

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Cited By

View all
  • (2019)Gazing Point Comparison Between Expert and Beginner DJs for Acquisition of Basic SkillsTransactions on Engineering Technologies10.1007/978-981-32-9808-8_13(153-164)Online publication date: 11-Oct-2019
  • (2013)A User Recognition Method Using Accelerometer for Electric AppliancesProceedings of the 2013 16th International Conference on Network-Based Information Systems10.1109/NBiS.2013.55(350-355)Online publication date: 4-Sep-2013

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