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A New Interactive Music System by Fusion of Melody Morphing and Body Movements

Published:28 April 2022Publication History

ABSTRACT

The fusion of music-information processing and human physical functions will enable new musical experiences to be created. We developed an interactive music system, which provides users with the experience of conducting a musical performance. This system converts music arranged using melody morphing method based on the general theory of tonal music into electrical muscle stimulation to control the body movements of multiple performers (e.g., musicians and dancers) via devices attached to the performers’ hands and feet. The melodies used in the system are divided into segments, and each segment has multiple variations of melodies. The user can interactively control the performers, thus the actual performance.

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References

  1. Ayaka Ebisu, Satoshi Hashizume, and Yoichi Ochiai. 2018. Building a feedback loop between electrical stimulation and percussion learning. In ACM SIGGRAPH 2018 Studio(SIGGRAPH ’18). ACM, 1–2.Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Masatoshi Hamanaka, Keiji Hirata, and Satoshi Tojo. 2007. Implementing ‘A Generating Theory of Tonal Music’. Journal of New Music Research 35, 4 (2007), 249–277.Google ScholarGoogle ScholarCross RefCross Ref
  3. Masatoshi Hamanaka, Keiji Hirata, and Satoshi Tojo. 2008. Melody Morphing Method Based on GTTM. In Proceedings of the 2008 International Computer Music Conference(ICMC ’08). 155–158.Google ScholarGoogle Scholar
  4. Masatoshi Hamanaka, Keiji Hirata, and Satoshi Tojo. 2017. deepGTTM-III: Multi-task Learning with Grouping and Metrical Structures. In Proceedings of the 2017 International Symposium on Computer Music Multidisciplinary Research(CMMR ’17). 238–251.Google ScholarGoogle Scholar
  5. Yoichiro Kawaguchi. 2013. Squarepusher × Z-MACHINES. Retrieved February 24, 2022 from https://youtu.be/VkUq4sO4LQMGoogle ScholarGoogle Scholar
  6. Fred Lerdahl and linguist Ray Jackendoff. 1983. A Generative Theory of Tonal Music.Cambridge, Massachusetts: MIT Press.Google ScholarGoogle Scholar
  7. Pedro Lopes, Max Pfeiffer, Michael Rohs, and Patrick Baudisch. 2016. Hands-on Introduction to Interactive Electrical Muscle Stimulation. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems(CHI ’16). ACM, 944–947.Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Pat Metheny. 2013. Orchestrion - An Excerpt from The Orchestrion Project. Retrieved February 24, 2022 from https://youtu.be/evHVh4bqaOQGoogle ScholarGoogle Scholar
  9. Jun Nishida and Kenji Suzuki. 2017. bioSync: A Paired Wearable Device for Blending Kinesthetic Experience. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems(CHI ’17). ACM, 3316–3327.Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Nobuhiro Takahashi, Hayato Takahashi, and Hideki Koike. 2019. Soft Exoskeleton Glove Enabling Force Feedback for Human-Like Finger Posture Control with 20 Degrees of Freedom. In Proceedings of IEEE World Haptics Conference(WHC ’19). IEEE, 217–222.Google ScholarGoogle ScholarCross RefCross Ref
  11. Emi Tamaki, Miyaki Takashi, and Jun Rekimoto. 2011. Possessedhand: Techniques for controlling human hands using electrical muscles stimuli. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems(CHI ’11). ACM, 543–552.Google ScholarGoogle ScholarDigital LibraryDigital Library

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  • Published in

    cover image ACM Conferences
    CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems
    April 2022
    3066 pages
    ISBN:9781450391566
    DOI:10.1145/3491101

    Copyright © 2022 Owner/Author

    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 28 April 2022

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    Qualifiers

    • demonstration
    • Research
    • Refereed limited

    Acceptance Rates

    Overall Acceptance Rate6,164of23,696submissions,26%

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