Designing and Measuring Gesture Using Laban Movement Analysis and Electromyogram

Nicholas Ward; Miguel Ortiz; Francisco Bernardo; Atau Tanaka

doi:10.1145/2968219.2968265

Designing and Measuring Gesture Using Laban Movement Analysis and Electromyogram

Nicholas Ward
, Miguel Ortiz
, Francisco Bernardo
, Atau Tanaka

School of Arts, English and Languages

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

8 Citations (Scopus)

384 Downloads (Pure)

Abstract

Movement design is typically based on evoking shapes in space. In interactive systems, user movement is often dictated by the system’s sensing capabilities. In neither of these cases are the differences across individual users or expressive variations they make accommodated. We present an exploratory study that uses Laban Movement Analysis as a framework for designing gesture, and electromyogram (EMG) signals for measuring gestural output. We were interested to see if these approaches for specifying and measuring gesture could produce and capture a “sameness” in gesture that in terms of gross spatial movement may be quite different.

Original language	English
Title of host publication	Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct
Place of Publication	New York, NY, USA
Publisher	Association for Computing Machinery
Pages	995-1000
Number of pages	6
ISBN (Print)	978-1-4503-4462-3
DOIs	https://doi.org/10.1145/2968219.2968265
Publication status	Published - 2016
Event	2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing - Heidelberg, Germany Duration: 12 Sept 2016 → 16 Sept 2016

Conference

Conference	2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Abbreviated title	UbiComp'16
Country/Territory	Germany
City	Heidelberg
Period	12/09/2016 → 16/09/2016

Keywords

EMG, LMA, gestural control

Access to Document

10.1145/2968219.2968265Licence: Unspecified

Ward Tanaka et al Laban EMG camera2Accepted author manuscript, 684 KB

Cite this

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title = "Designing and Measuring Gesture Using Laban Movement Analysis and Electromyogram",

abstract = "Movement design is typically based on evoking shapes in space. In interactive systems, user movement is often dictated by the system{\textquoteright}s sensing capabilities. In neither of these cases are the differences across individual users or expressive variations they make accommodated. We present an exploratory study that uses Laban Movement Analysis as a framework for designing gesture, and electromyogram (EMG) signals for measuring gestural output. We were interested to see if these approaches for specifying and measuring gesture could produce and capture a “sameness” in gesture that in terms of gross spatial movement may be quite different.",

keywords = "EMG, LMA, gestural control",

author = "Nicholas Ward and Miguel Ortiz and Francisco Bernardo and Atau Tanaka",

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booktitle = "Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct",

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address = "United States",

note = "2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp'16 ; Conference date: 12-09-2016 Through 16-09-2016",

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Ward, N, Ortiz, M, Bernardo, F & Tanaka, A 2016, Designing and Measuring Gesture Using Laban Movement Analysis and Electromyogram. in Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct. Association for Computing Machinery, New York, NY, USA, pp. 995-1000, 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Heidelberg, Germany, 12/09/2016. https://doi.org/10.1145/2968219.2968265

Designing and Measuring Gesture Using Laban Movement Analysis and Electromyogram. / Ward, Nicholas; Ortiz, Miguel; Bernardo, Francisco et al.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct. New York, NY, USA: Association for Computing Machinery, 2016. p. 995-1000.

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

TY - GEN

T1 - Designing and Measuring Gesture Using Laban Movement Analysis and Electromyogram

AU - Ward, Nicholas

AU - Ortiz, Miguel

AU - Bernardo, Francisco

AU - Tanaka, Atau

PY - 2016

Y1 - 2016

N2 - Movement design is typically based on evoking shapes in space. In interactive systems, user movement is often dictated by the system’s sensing capabilities. In neither of these cases are the differences across individual users or expressive variations they make accommodated. We present an exploratory study that uses Laban Movement Analysis as a framework for designing gesture, and electromyogram (EMG) signals for measuring gestural output. We were interested to see if these approaches for specifying and measuring gesture could produce and capture a “sameness” in gesture that in terms of gross spatial movement may be quite different.

AB - Movement design is typically based on evoking shapes in space. In interactive systems, user movement is often dictated by the system’s sensing capabilities. In neither of these cases are the differences across individual users or expressive variations they make accommodated. We present an exploratory study that uses Laban Movement Analysis as a framework for designing gesture, and electromyogram (EMG) signals for measuring gestural output. We were interested to see if these approaches for specifying and measuring gesture could produce and capture a “sameness” in gesture that in terms of gross spatial movement may be quite different.

KW - EMG, LMA, gestural control

U2 - 10.1145/2968219.2968265

DO - 10.1145/2968219.2968265

M3 - Conference contribution

SN - 978-1-4503-4462-3

SP - 995

EP - 1000

BT - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

PB - Association for Computing Machinery

CY - New York, NY, USA

T2 - 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Y2 - 12 September 2016 through 16 September 2016

ER -

Designing and Measuring Gesture Using Laban Movement Analysis and Electromyogram

Abstract

Conference

Keywords

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