Inscribing Bodies: Notating Gesture

Emily Beattie; Margaret Schedel

doi:10.1007/978-3-030-01692-0_19

Inscribing Bodies: Notating Gesture

Emily Beattie
, Margaret Schedel

Music

Salem State University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	Music Technology with Swing - 13th International Symposium, CMMR 2017, Revised Selected Papers
Editors	Matthew E.P. Davies, Mitsuko Aramaki, Richard Kronland-Martinet, Sølvi Ystad
Publisher	Springer Verlag
Pages	273-283
Number of pages	11
ISBN (Print)	9783030016913
DOIs	https://doi.org/10.1007/978-3-030-01692-0_19
State	Published - 2018
Event	13th international Symposium on Computer Music Multidisciplinary Research, CMMR 2017 - Matosinhos, Portugal Duration: Sep 25 2017 → Sep 28 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11265 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th international Symposium on Computer Music Multidisciplinary Research, CMMR 2017
Country/Territory	Portugal
City	Matosinhos
Period	09/25/17 → 09/28/17

Keywords

Dance
Embodied cognition
Expressivity
Gesture
Measurement
Tool-making

Access to Document

10.1007/978-3-030-01692-0_19

Cite this

Beattie, E., & Schedel, M. (2018). Inscribing Bodies: Notating Gesture. In M. E. P. Davies, M. Aramaki, R. Kronland-Martinet, & S. Ystad (Eds.), Music Technology with Swing - 13th International Symposium, CMMR 2017, Revised Selected Papers (pp. 273-283). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11265 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-01692-0_19

Beattie, Emily ; Schedel, Margaret. / Inscribing Bodies : Notating Gesture. Music Technology with Swing - 13th International Symposium, CMMR 2017, Revised Selected Papers. editor / Matthew E.P. Davies ; Mitsuko Aramaki ; Richard Kronland-Martinet ; Sølvi Ystad. Springer Verlag, 2018. pp. 273-283 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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keywords = "Dance, Embodied cognition, Expressivity, Gesture, Measurement, Tool-making",

author = "Emily Beattie and Margaret Schedel",

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language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Beattie, E & Schedel, M 2018, Inscribing Bodies: Notating Gesture. in MEP Davies, M Aramaki, R Kronland-Martinet & S Ystad (eds), Music Technology with Swing - 13th International Symposium, CMMR 2017, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11265 LNCS, Springer Verlag, pp. 273-283, 13th international Symposium on Computer Music Multidisciplinary Research, CMMR 2017, Matosinhos, Portugal, 09/25/17. https://doi.org/10.1007/978-3-030-01692-0_19

Inscribing Bodies: Notating Gesture. / Beattie, Emily; Schedel, Margaret.
Music Technology with Swing - 13th International Symposium, CMMR 2017, Revised Selected Papers. ed. / Matthew E.P. Davies; Mitsuko Aramaki; Richard Kronland-Martinet; Sølvi Ystad. Springer Verlag, 2018. p. 273-283 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11265 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Schedel, Margaret

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AB - 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.

KW - Dance

KW - Embodied cognition

KW - Expressivity

KW - Gesture

KW - Measurement

KW - Tool-making

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DO - 10.1007/978-3-030-01692-0_19

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Beattie E, Schedel M. Inscribing Bodies: Notating Gesture. In Davies MEP, Aramaki M, Kronland-Martinet R, Ystad S, editors, Music Technology with Swing - 13th International Symposium, CMMR 2017, Revised Selected Papers. Springer Verlag. 2018. p. 273-283. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-01692-0_19

Inscribing Bodies: Notating Gesture

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