Can Individual Movement Characteristics Across Different Throwing Disciplines Be Identified in High-Performance Decathletes?
- Publikationstyp:
- Zeitschriftenaufsatz
- Metadaten:
-
- Autoren
- Fabian Horst
- Daniel Janssen
- Hendrik Beckmann
- Wolfgang I Schoellhorn
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000576451500001&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.3389/fpsyg.2020.02262
- Externe Identifier
- Clarivate Analytics Document Solution ID: NY5TL
- PubMed Identifier: 33041901
- ISSN
- 1664-1078
- Zeitschrift
- FRONTIERS IN PSYCHOLOGY
- Schlüsselwörter
- motor learning
- pattern recognition
- high-performance sports
- machine learning
- support vector machine
- individuality
- transdisciplinary individuality
- Artikelnummer
- ARTN 2262
- Datum der Veröffentlichung
- 2020
- Status
- Published
- Titel
- Can Individual Movement Characteristics Across Different Throwing Disciplines Be Identified in High-Performance Decathletes?
- Sub types
- Article
- Ausgabe der Zeitschrift
- 11
Datenquelle: Web of Science (Lite)
- Andere Metadatenquellen:
-
- Autoren
- Fabian Horst
- Daniel Janssen
- Hendrik Beckmann
- Wolfgang I Schöllhorn
- DOI
- 10.3389/fpsyg.2020.02262
- eISSN
- 1664-1078
- Zeitschrift
- Frontiers in Psychology
- Online publication date
- 2020
- Status
- Published online
- Herausgeber
- Frontiers Media SA
- Herausgeber URL
- http://dx.doi.org/10.3389/fpsyg.2020.02262
- Datum der Datenerfassung
- 2023
- Titel
- Can Individual Movement Characteristics Across Different Throwing Disciplines Be Identified in High-Performance Decathletes?
- Ausgabe der Zeitschrift
- 11
Datenquelle: Crossref
- Abstract
- Although the individuality of whole-body movements has been suspected for years, the scientific proof and systematic investigation that individuals possess unique movement patterns did not manifest until the introduction of the criteria of uniqueness and persistence from the field of forensic science. Applying the criteria of uniqueness and persistence to the individuality of motor learning processes requires complex strategies due to the problem of persistence in the learning processes. One approach is to examine the learning process of different movements. For this purpose, it is necessary to differentiate between two components of movement patterns: the individual-specific component and the discipline-specific component. To this end, a kinematic analysis of the shot put, discus, and javelin throwing movements of seven high-performance decathletes during a qualification competition was conducted. In total, joint angle waveforms of 57 throws formed the basis for the recognition task of individual- and discipline-specific throwing patterns using a support vector machine. The results reveal that the kinematic throwing patterns of the three disciplines could be distinguished across athletes with a prediction accuracy of up to 100% (57 of 57 throws). In addition, athlete-specific throwing characteristics could also be identified across the three disciplines. Prediction accuracies of up to 52.6% indicated that up to 10 out of 19 throws of a discipline could be assigned to the correct athletes, based on only knowing these athletes from the kinematic throwing patterns in the other two disciplines. The results further suggest that individual throwing characteristics across disciplines are more pronounced in shot put and discus throwing than in javelin throwing. Applications for training and learning practice in sports and therapy are discussed. In summary, the chosen approach offers a broad field of application related to the search of individualized optimal movement solutions in sports.
- Addresses
- Department of Training and Movement Science, Institute of Sport Science, Johannes Gutenberg-University Mainz, Mainz, Germany.
- Autoren
- Fabian Horst
- Daniel Janssen
- Hendrik Beckmann
- Wolfgang I Schöllhorn
- DOI
- 10.3389/fpsyg.2020.02262
- eISSN
- 1664-1078
- Externe Identifier
- PubMed Identifier: 33041901
- PubMed Central ID: PMC7530176
- Funding acknowledgements
- Bundesinstitut für Sportwissenschaft:
- Open access
- true
- ISSN
- 1664-1078
- Zeitschrift
- Frontiers in psychology
- Sprache
- eng
- Medium
- Electronic-eCollection
- Online publication date
- 2020
- Open access status
- Open Access
- Paginierung
- 2262
- Datum der Veröffentlichung
- 2020
- Status
- Published
- Publisher licence
- CC BY
- Datum der Datenerfassung
- 2020
- Titel
- Can Individual Movement Characteristics Across Different Throwing Disciplines Be Identified in High-Performance Decathletes?
- Sub types
- research-article
- Journal Article
- Ausgabe der Zeitschrift
- 11
Files
https://www.frontiersin.org/articles/10.3389/fpsyg.2020.02262/pdf https://europepmc.org/articles/PMC7530176?pdf=render
Datenquelle: Europe PubMed Central
- Abstract
- Although the individuality of whole-body movements has been suspected for years, the scientific proof and systematic investigation that individuals possess unique movement patterns did not manifest until the introduction of the criteria of uniqueness and persistence from the field of forensic science. Applying the criteria of uniqueness and persistence to the individuality of motor learning processes requires complex strategies due to the problem of persistence in the learning processes. One approach is to examine the learning process of different movements. For this purpose, it is necessary to differentiate between two components of movement patterns: the individual-specific component and the discipline-specific component. To this end, a kinematic analysis of the shot put, discus, and javelin throwing movements of seven high-performance decathletes during a qualification competition was conducted. In total, joint angle waveforms of 57 throws formed the basis for the recognition task of individual- and discipline-specific throwing patterns using a support vector machine. The results reveal that the kinematic throwing patterns of the three disciplines could be distinguished across athletes with a prediction accuracy of up to 100% (57 of 57 throws). In addition, athlete-specific throwing characteristics could also be identified across the three disciplines. Prediction accuracies of up to 52.6% indicated that up to 10 out of 19 throws of a discipline could be assigned to the correct athletes, based on only knowing these athletes from the kinematic throwing patterns in the other two disciplines. The results further suggest that individual throwing characteristics across disciplines are more pronounced in shot put and discus throwing than in javelin throwing. Applications for training and learning practice in sports and therapy are discussed. In summary, the chosen approach offers a broad field of application related to the search of individualized optimal movement solutions in sports.
- Date of acceptance
- 2020
- Autoren
- Fabian Horst
- Daniel Janssen
- Hendrik Beckmann
- Wolfgang I Schöllhorn
- Autoren-URL
- https://www.ncbi.nlm.nih.gov/pubmed/33041901
- DOI
- 10.3389/fpsyg.2020.02262
- Externe Identifier
- PubMed Central ID: PMC7530176
- ISSN
- 1664-1078
- Zeitschrift
- Front Psychol
- Schlüsselwörter
- high-performance sports
- individuality
- machine learning
- motor learning
- pattern recognition
- support vector machine
- transdisciplinary individuality
- Sprache
- eng
- Country
- Switzerland
- Paginierung
- 2262
- Datum der Veröffentlichung
- 2020
- Status
- Published online
- Titel
- Can Individual Movement Characteristics Across Different Throwing Disciplines Be Identified in High-Performance Decathletes?
- Sub types
- Journal Article
- Ausgabe der Zeitschrift
- 11
Datenquelle: PubMed
- Author's licence
- CC-BY
- Autoren
- Fabian Horst
- Daniel Janssen
- Hendrik Beckmann
- Wolfgang I Schöllhorn
- Hosting institution
- Universitätsbibliothek Mainz
- Sammlungen
- JGU-Publikationen
- Resource version
- Published version
- DOI
- 10.3389/fpsyg.2020.02262
- Funding acknowledgements
- DFG, Open Access-Publizieren Universität Mainz / Universitätsmedizin Mainz
- File(s) embargoed
- false
- Open access
- true
- ISSN
- 1664-1078
- Zeitschrift
- Frontiers in psychology
- Schlüsselwörter
- 796 Sport
- 796 Athletic and outdoor sports and games
- Sprache
- eng
- Open access status
- Open Access
- Paginierung
- Art. 2262
- Datum der Veröffentlichung
- 2020
- Public URL
- https://openscience.ub.uni-mainz.de/handle/20.500.12030/5257
- Herausgeber
- Frontiers Research Foundation
- Herausgeber URL
- https://doi.org/10.3389/fpsyg.2020.02262
- Datum der Datenerfassung
- 2020
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2020
- Zugang
- Public
- Titel
- Can individual movement characteristics across different throwing disciplines be identified in high-performance decathletes?
- Ausgabe der Zeitschrift
- 11
Files
horst_fabian-can_individual-20201026115003303.pdf
Datenquelle: OPENSCIENCE.UB
- Abstract
- Although the individuality of whole-body movements has been suspected for years, the scientific proof and systematic investigation that individuals possess unique movement patterns did not manifest until the introduction of the criteria of uniqueness and persistence from the field of forensic science. Applying the criteria of uniqueness and persistence to the individuality of motor learning processes requires complex strategies due to the problem of persistence in the learning processes. One approach is to examine the learning process of different movements. For this purpose, it is necessary to differentiate between two components of movement patterns: the individual-specific component and the discipline-specific component. To this end, a kinematic analysis of the shot put, discus, and javelin throwing movements of seven high-performance decathletes during a qualification competition was conducted. In total, joint angle waveforms of 57 throws formed the basis for the recognition task of individual- and discipline-specific throwing patterns using a support vector machine. The results reveal that the kinematic throwing patterns of the three disciplines could be distinguished across athletes with a prediction accuracy of up to 100% (57 of 57 throws). In addition, athlete-specific throwing characteristics could also be identified across the three disciplines. Prediction accuracies of up to 52.6% indicated that up to 10 out of 19 throws of a discipline could be assigned to the correct athletes, based on only knowing these athletes from the kinematic throwing patterns in the other two disciplines. The results further suggest that individual throwing characteristics across disciplines are more pronounced in shot put and discus throwing than in javelin throwing. Applications for training and learning practice in sports and therapy are discussed. In summary, the chosen approach offers a broad field of application related to the search of individualized optimal movement solutions in sports.
- Autoren
- Fabian Horst
- Daniel Janssen
- Hendrik Beckmann
- Wolfgang I Schöllhorn
- DOI
- 10.3389/fpsyg.2020.02262
- ISSN
- 1664-1078
- Zeitschrift
- Frontiers in psychology
- Notes
- file: http://www.ncbi.nlm.nih.gov/pubmed/33041901 file: http://www.ncbi.nlm.nih.gov/pubmed/33041901
- Paginierung
- 2262 - 2262
- Datum der Veröffentlichung
- 2020
- Datum der Datenerfassung
- 2021
- Titel
- Can Individual Movement Characteristics Across Different Throwing Disciplines Be Identified in High-Performance Decathletes?
- Sub types
- article
- Ausgabe der Zeitschrift
- 11
Datenquelle: Manual
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