Individuality of movements in music : finger and body movements during playing of the flute

Autoren

Stefan Albrecht
Daniel Janssen
Esther Quarz
Karl M Newell
Wolfgang I Schoellhorn

Autoren-URL

https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000338814300010&DestLinkType=FullRecord&DestApp=WOS_CPL

DOI

10.1016/j.humov.2014.03.010

eISSN

1872-7646

Externe Identifier

Clarivate Analytics Document Solution ID: AL0JX
PubMed Identifier: 24767961

ISSN

0167-9457

Zeitschrift

HUMAN MOVEMENT SCIENCE

Schlüsselwörter

Flute play
Finger kinematics
Pattern recognition
Individuality

Paginierung

131 - 144

Datum der Veröffentlichung

2014

Status

Published

Titel

Individuality of movements in music - Finger and body movements during playing of the flute

Sub types

Article

Ausgabe der Zeitschrift

35

Datenquelle: Web of Science (Lite)

Autoren

Stefan Albrecht
Daniel Janssen
Esther Quarz
Karl M Newell
Wolfgang I Schöllhorn

DOI

10.1016/j.humov.2014.03.010

ISSN

0167-9457

Zeitschrift

Human Movement Science

Sprache

en

Paginierung

131 - 144

Datum der Veröffentlichung

2014

Status

Published

Herausgeber

Elsevier BV

Herausgeber URL

http://dx.doi.org/10.1016/j.humov.2014.03.010

Datum der Datenerfassung

2018

Titel

Individuality of movements in music – Finger and body movements during playing of the flute

Ausgabe der Zeitschrift

35

Datenquelle: Crossref

Abstract

The achievement of mastery in playing a composition by means of a musical instrument typically requires numerous repetitions and corrections according to the keys and notations of the music piece. Nevertheless, differences in the interpretation of the same music piece by highly skilled musicians seem to be recognizable. The present study investigated differences within and between skilled flute players in their finger and body movements playing the same piece several times on the same and on different days. Six semiprofessional and four professional musicians played an excerpt of Mozart's Flute Concerto No. 2 several times on three different days. Finger and body movements were recorded by 3D motion capture and analyzed by linear and nonlinear classification approaches. The findings showed that the discrete and continuous movement timing data correctly identified individuals up to 100% by means of their finger movements and up to 94% by means of their body movements. These robust examples of identifying individual movement patterns contradict the prevailing models of small, economic finger movements that are favored in the didactic literature for woodwind players and question traditional recommendations for teaching the learning of motor skills.

Addresses

Johannes Gutenberg-University Mainz, Institute for Training and Movement Science, Germany. Electronic address: albrecst@uni-mainz.de.

Autoren

Stefan Albrecht
Daniel Janssen
Esther Quarz
Karl M Newell
Wolfgang I Schöllhorn

DOI

10.1016/j.humov.2014.03.010

eISSN

1872-7646

Externe Identifier

PubMed Identifier: 24767961

Open access

false

ISSN

0167-9457

Zeitschrift

Human movement science

Schlüsselwörter

Fingers
Joints
Humans
Psychophysiology
Motor Activity
Individuality
Aptitude
Psychomotor Performance
Posture
Algorithms
Music
Adult
Middle Aged
Female
Male
Young Adult
Biomechanical Phenomena
Neural Networks, Computer

Sprache

eng

Medium

Print-Electronic

Online publication date

2014

Paginierung

131 - 144

Datum der Veröffentlichung

2014

Status

Published

Datum der Datenerfassung

2014

Titel

Individuality of movements in music--finger and body movements during playing of the flute.

Sub types

Journal Article

Ausgabe der Zeitschrift

35

Datenquelle: Europe PubMed Central

Abstract

The achievement of mastery in playing a composition by means of a musical instrument typically requires numerous repetitions and corrections according to the keys and notations of the music piece. Nevertheless, differences in the interpretation of the same music piece by highly skilled musicians seem to be recognizable. The present study investigated differences within and between skilled flute players in their finger and body movements playing the same piece several times on the same and on different days. Six semiprofessional and four professional musicians played an excerpt of Mozart's Flute Concerto No. 2 several times on three different days. Finger and body movements were recorded by 3D motion capture and analyzed by linear and nonlinear classification approaches. The findings showed that the discrete and continuous movement timing data correctly identified individuals up to 100% by means of their finger movements and up to 94% by means of their body movements. These robust examples of identifying individual movement patterns contradict the prevailing models of small, economic finger movements that are favored in the didactic literature for woodwind players and question traditional recommendations for teaching the learning of motor skills.

Date of acceptance

2014

Autoren

Stefan Albrecht
Daniel Janssen
Esther Quarz
Karl M Newell
Wolfgang I Schöllhorn

Autoren-URL

https://www.ncbi.nlm.nih.gov/pubmed/24767961

DOI

10.1016/j.humov.2014.03.010

eISSN

1872-7646

Zeitschrift

Hum Mov Sci

Schlüsselwörter

2330
Finger kinematics
Flute play
Individuality
Pattern recognition
Adult
Algorithms
Aptitude
Biomechanical Phenomena
Female
Fingers
Humans
Individuality
Joints
Male
Middle Aged
Motor Activity
Music
Neural Networks, Computer
Posture
Psychomotor Performance
Psychophysiology
Young Adult

Sprache

eng

Country

Netherlands

Paginierung

131 - 144

PII

S0167-9457(14)00042-6

Datum der Veröffentlichung

2014

Status

Published

Datum, an dem der Datensatz öffentlich gemacht wurde

2015

Titel

Individuality of movements in music--finger and body movements during playing of the flute.

Sub types

Journal Article

Ausgabe der Zeitschrift

35

Datenquelle: PubMed

Individuality of movements in music : finger and body movements during playing of the flute

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