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Inscribing Bodies: Notating Gesture

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Music Technology with Swing (CMMR 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11265))

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Abstract

This paper focuses on methods of transcribing the functions and activities of gesture, with a specific focus on embodiment, or how the interrelated roles of environment and the body shape mental process and experience. Through a process of repeated experiments with our own custom open-source 3D printed sensors, we illuminate the complexities of tracking even a single point over time, and distinguish between casual gesture and choreographed motion.

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Author information

Authors and Affiliations

  1. Salem State University, 352 Lafayette St, Salem, MA, 01970, USA

    Emily Beattie

  2. Stony Brook University, 100 Nicolls Rd, Stony Brook, NY, 11794, USA

    Margaret Schedel

Authors
  1. Emily Beattie
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  2. Margaret Schedel
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Corresponding author

Correspondence to Margaret Schedel .

Editor information

Editors and Affiliations

  1. Laboratoire PRISM, AMU-CNRS, Marseille, France

    Mitsuko Aramaki

  2. INESC TEC, Porto, Portugal

    Matthew E. P. Davies

  3. Laboratoire PRISM, AMU-CNRS, Marseille, France

    Richard Kronland-Martinet

  4. Laboratoire PRISM, AMU-CNRS, Marseille, France

    Sølvi Ystad

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Beattie, E., Schedel, M. (2018). Inscribing Bodies: Notating Gesture. In: Aramaki, M., Davies , M., Kronland-Martinet, R., Ystad, S. (eds) Music Technology with Swing. CMMR 2017. Lecture Notes in Computer Science(), vol 11265. Springer, Cham. https://doi.org/10.1007/978-3-030-01692-0_19

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  • DOI: https://doi.org/10.1007/978-3-030-01692-0_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01691-3

  • Online ISBN: 978-3-030-01692-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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