Characterizing movement fluency in musical performance: Toward a generic measure for technology enhanced learning

Víctor Evaristo González Sánchez, Sofia Dahl, Johannes Hatfield, Rolf Inge Godøy

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

Virtuosity in music performance is often associated with fast, precise, and efficient sound-producing movements. The generation of such highly skilled movements involves complex joint and muscle control by the central nervous system, and depends on the ability to anticipate, segment, and coarticulate motor elements, all within the biomechanical constraints of the human body. When successful, such motor skill should lead to what we characterize as fluency in musical performance. Detecting typical features of fluency could be very useful for technology-enhanced learning systems, assisting and supporting students during their individual practice sessions by giving feedback and helping them to adopt sustainable movement patterns.
In this study, we propose to assess fluency in musical performance as the ability to smoothly and efficiently coordinate while accurately performing slow, transitionary, and rapid movements. To this end, the movements of three cello players and three drummers at different levels of skill were recorded with an optical motion capture system, while a wireless electromyography (EMG) system recorded the corresponding muscle activity from relevant landmarks. We analyzed the kinematic and coarticulation characteristics of these recordings separately and then propose a combined model of fluency in musical performance predicting music sophistication. Results suggest that expert performers' movements are characterized by consistently smooth strokes and scaling of muscle phasic coactivation. The explored model of fluency as a function of movement smoothness and coarticulation patterns was shown to be limited by the sample size, but it serves as a proof of concept. Results from this study show the potential of a technology-enhanced objective measure of fluency in musical performance, which could lead to improved practices for aspiring musicians, instructors, and researchers.
OriginalsprogEngelsk
TidsskriftFrontiers in Psychology
Vol/bind10
ISSN1664-1078
DOI
StatusUdgivet - 2019

Fingerprint

Aptitude
Learning
Music
Technology
Muscles
Motor Skills
Electromyography
Human Body
Biomechanical Phenomena
Sample Size
Central Nervous System
Joints
Stroke
Research Personnel
Students

Citer dette

González Sánchez, Víctor Evaristo ; Dahl, Sofia ; Hatfield, Johannes ; Godøy, Rolf Inge. / Characterizing movement fluency in musical performance: Toward a generic measure for technology enhanced learning. I: Frontiers in Psychology. 2019 ; Bind 10.
@article{56ede18a02dd43adbfc78cc3642abb6e,
title = "Characterizing movement fluency in musical performance:: Toward a generic measure for technology enhanced learning",
abstract = "Virtuosity in music performance is often associated with fast, precise, and efficient sound-producing movements. The generation of such highly skilled movements involves complex joint and muscle control by the central nervous system, and depends on the ability to anticipate, segment, and coarticulate motor elements, all within the biomechanical constraints of the human body. When successful, such motor skill should lead to what we characterize as fluency in musical performance. Detecting typical features of fluency could be very useful for technology-enhanced learning systems, assisting and supporting students during their individual practice sessions by giving feedback and helping them to adopt sustainable movement patterns.In this study, we propose to assess fluency in musical performance as the ability to smoothly and efficiently coordinate while accurately performing slow, transitionary, and rapid movements. To this end, the movements of three cello players and three drummers at different levels of skill were recorded with an optical motion capture system, while a wireless electromyography (EMG) system recorded the corresponding muscle activity from relevant landmarks. We analyzed the kinematic and coarticulation characteristics of these recordings separately and then propose a combined model of fluency in musical performance predicting music sophistication. Results suggest that expert performers' movements are characterized by consistently smooth strokes and scaling of muscle phasic coactivation. The explored model of fluency as a function of movement smoothness and coarticulation patterns was shown to be limited by the sample size, but it serves as a proof of concept. Results from this study show the potential of a technology-enhanced objective measure of fluency in musical performance, which could lead to improved practices for aspiring musicians, instructors, and researchers.",
keywords = "performance, Motion capture, Phase transition, Smoothness, motor control, EMG, skill acquisition",
author = "{Gonz{\'a}lez S{\'a}nchez}, {V{\'i}ctor Evaristo} and Sofia Dahl and Johannes Hatfield and God{\o}y, {Rolf Inge}",
year = "2019",
doi = "10.3389/fpsyg.2019.00084",
language = "English",
volume = "10",
journal = "Frontiers in Psychology",
issn = "1664-1078",
publisher = "Frontiers Media S.A.",

}

Characterizing movement fluency in musical performance: Toward a generic measure for technology enhanced learning. / González Sánchez, Víctor Evaristo; Dahl, Sofia; Hatfield, Johannes; Godøy, Rolf Inge.

I: Frontiers in Psychology, Bind 10, 2019.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Characterizing movement fluency in musical performance:

T2 - Toward a generic measure for technology enhanced learning

AU - González Sánchez, Víctor Evaristo

AU - Dahl, Sofia

AU - Hatfield, Johannes

AU - Godøy, Rolf Inge

PY - 2019

Y1 - 2019

N2 - Virtuosity in music performance is often associated with fast, precise, and efficient sound-producing movements. The generation of such highly skilled movements involves complex joint and muscle control by the central nervous system, and depends on the ability to anticipate, segment, and coarticulate motor elements, all within the biomechanical constraints of the human body. When successful, such motor skill should lead to what we characterize as fluency in musical performance. Detecting typical features of fluency could be very useful for technology-enhanced learning systems, assisting and supporting students during their individual practice sessions by giving feedback and helping them to adopt sustainable movement patterns.In this study, we propose to assess fluency in musical performance as the ability to smoothly and efficiently coordinate while accurately performing slow, transitionary, and rapid movements. To this end, the movements of three cello players and three drummers at different levels of skill were recorded with an optical motion capture system, while a wireless electromyography (EMG) system recorded the corresponding muscle activity from relevant landmarks. We analyzed the kinematic and coarticulation characteristics of these recordings separately and then propose a combined model of fluency in musical performance predicting music sophistication. Results suggest that expert performers' movements are characterized by consistently smooth strokes and scaling of muscle phasic coactivation. The explored model of fluency as a function of movement smoothness and coarticulation patterns was shown to be limited by the sample size, but it serves as a proof of concept. Results from this study show the potential of a technology-enhanced objective measure of fluency in musical performance, which could lead to improved practices for aspiring musicians, instructors, and researchers.

AB - Virtuosity in music performance is often associated with fast, precise, and efficient sound-producing movements. The generation of such highly skilled movements involves complex joint and muscle control by the central nervous system, and depends on the ability to anticipate, segment, and coarticulate motor elements, all within the biomechanical constraints of the human body. When successful, such motor skill should lead to what we characterize as fluency in musical performance. Detecting typical features of fluency could be very useful for technology-enhanced learning systems, assisting and supporting students during their individual practice sessions by giving feedback and helping them to adopt sustainable movement patterns.In this study, we propose to assess fluency in musical performance as the ability to smoothly and efficiently coordinate while accurately performing slow, transitionary, and rapid movements. To this end, the movements of three cello players and three drummers at different levels of skill were recorded with an optical motion capture system, while a wireless electromyography (EMG) system recorded the corresponding muscle activity from relevant landmarks. We analyzed the kinematic and coarticulation characteristics of these recordings separately and then propose a combined model of fluency in musical performance predicting music sophistication. Results suggest that expert performers' movements are characterized by consistently smooth strokes and scaling of muscle phasic coactivation. The explored model of fluency as a function of movement smoothness and coarticulation patterns was shown to be limited by the sample size, but it serves as a proof of concept. Results from this study show the potential of a technology-enhanced objective measure of fluency in musical performance, which could lead to improved practices for aspiring musicians, instructors, and researchers.

KW - performance

KW - Motion capture

KW - Phase transition

KW - Smoothness

KW - motor control

KW - EMG

KW - skill acquisition

UR - https://www.frontiersin.org/article/10.3389/fpsyg.2019.00084

U2 - 10.3389/fpsyg.2019.00084

DO - 10.3389/fpsyg.2019.00084

M3 - Journal article

VL - 10

JO - Frontiers in Psychology

JF - Frontiers in Psychology

SN - 1664-1078

ER -