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Opto-Phono-Kinesia (OPK): Designing Motion-Based Interaction for Expert Performers

Published:18 March 2018Publication History

ABSTRACT

Opto-Phono-Kinesia (OPK) is an audio-visual performance piece in which all media elements are controlled by the body movements of a single performer. The title is a play on a possible synesthetic state involving connections between vision, sound and body motion. Theoretically, for a person who experiences this state, a specific colour could trigger both a sound and a body action. This synesthetic intersection is simulated in OPK by simultaneity of body movement, and audio-visual result.

Using the Gesture and Media System 3.0 motion-tracking system, the performer can dynamically manipulate an immersive environment using two small infrared trackers. The project employs a multipart interface design based on a formal model of increasing complexity in visual-sound-body mapping, and is therefore best performed by an expert performer with strong spatial memory and advanced musical ability. OPK utilizes the "body as experience, instrument and interface" [1] for control of a large-scale environment.

References

  1. ACM. TEI Arts Track website. 2018. Retrieved October 10, 2017 from https://tei.acm.org/2018/arts-track/Google ScholarGoogle Scholar
  2. Cretien van Campen. 2007. The Hidden Sense: Synesthesia in Art and Science. Massachusetts Institute of Technology (MIT), Cambridge, MA, 1.Google ScholarGoogle Scholar
  3. Cretien van Campen. 2007. The Hidden Sense: Synesthesia in Art and Science. Massachusetts Institute of Technology (MIT), Cambridge, MA, 49.Google ScholarGoogle Scholar
  4. Steve Gibson, Virtual DJ website. 2006. Retrieved October 11, 2017 from http://www.telebody.ws/VirtualDJGoogle ScholarGoogle Scholar

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  1. Opto-Phono-Kinesia (OPK): Designing Motion-Based Interaction for Expert Performers

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      • Published in

        cover image ACM Conferences
        TEI '18: Proceedings of the Twelfth International Conference on Tangible, Embedded, and Embodied Interaction
        March 2018
        763 pages
        ISBN:9781450355681
        DOI:10.1145/3173225

        Copyright © 2018 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: 18 March 2018

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        • abstract

        Acceptance Rates

        TEI '18 Paper Acceptance Rate37of130submissions,28%Overall Acceptance Rate393of1,367submissions,29%

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