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Visualisation of Fundamental Movement Skills (FMS): An Iterative Process Using an Overarm Throw / THOMAS SWAIN

Swansea University Author: THOMAS SWAIN

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Abstract

Fundamental Movement Skills (FMS) are precursor gross motor skills to more complex or specialised skills and are recognised as important indicators of physical competence, a key component of physical literacy. FMS are predominantly assessed using pre-defined manual methodologies, most commonly the v...

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Published: Swansea 2022
Institution: Swansea University
Degree level: Master of Research
Degree name: MSc by Research
Supervisor: Mackintosh, Kelly A. ; McNarry, Melitta A.
URI: https://cronfa.swan.ac.uk/Record/cronfa59106
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first_indexed 2022-01-06T17:32:45Z
last_indexed 2022-01-07T04:26:51Z
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spelling 2022-01-06T17:37:21.0752737 v2 59106 2022-01-06 Visualisation of Fundamental Movement Skills (FMS): An Iterative Process Using an Overarm Throw 2adaf05654ca3fb9d04c40d13c665026 THOMAS SWAIN THOMAS SWAIN true false 2022-01-06 Fundamental Movement Skills (FMS) are precursor gross motor skills to more complex or specialised skills and are recognised as important indicators of physical competence, a key component of physical literacy. FMS are predominantly assessed using pre-defined manual methodologies, most commonly the various iterations of the Test of Gross Motor Development. However, such assessments are time-consuming and often require a minimum basic level of training to conduct. Therefore, the overall aim of this thesis was to utilise accelerometry to develop a visualisation concept as part of a feasibility study to support the learning and assessment of FMS, by reducing subjectivity and the overall time taken to conduct a gross motor skill assessment. The overarm throw, an important fundamental movement skill, was specifically selected for the visualisation development as it is an acyclic movement with a distinct initiation and conclusion. Thirteen children (14.8 ± 0.3 years; 9 boys) wore an ActiGraph GT9X Link Inertial Measurement Unit device on the dominant wrist whilst performing a series of overarm throws. This thesis illustrates how the visualisation concept was developed using raw accelerometer data, which was processed and manipulated using MATLAB 2019b software to obtain and depict key throw performance data, including the trajectory and velocity of the wrist during the throw. Overall, this thesis found that the developed visualisation concept can provide strong indicators of throw competency based on the shape of the throw trajectory. Future research should seek to utilise a larger, more diverse, population, and incorporate machine learning. Finally, further work is required to translate this concept to other gross motor skills. E-Thesis Swansea Gross motor skill, Children, Accelerometer, Wearable, Kinematics, Feedback, Physical activity, Programming 6 1 2022 2022-01-06 COLLEGE NANME COLLEGE CODE Swansea University Mackintosh, Kelly A. ; McNarry, Melitta A. Master of Research MSc by Research 2022-01-06T17:37:21.0752737 2022-01-06T17:19:48.8163843 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised THOMAS SWAIN 1 59106__22063__aa8eeb1c1d9f413db3bdee6373591041.pdf Swain_Thomas_A_MSc_by_Research_Thesis_Final_Redacted_Signature.pdf 2022-01-06T17:32:10.4983999 Output 3143533 application/pdf E-Thesis – open access true Copyright: The author, Thomas A. Swain, 2020. true eng
title Visualisation of Fundamental Movement Skills (FMS): An Iterative Process Using an Overarm Throw
spellingShingle Visualisation of Fundamental Movement Skills (FMS): An Iterative Process Using an Overarm Throw
THOMAS SWAIN
title_short Visualisation of Fundamental Movement Skills (FMS): An Iterative Process Using an Overarm Throw
title_full Visualisation of Fundamental Movement Skills (FMS): An Iterative Process Using an Overarm Throw
title_fullStr Visualisation of Fundamental Movement Skills (FMS): An Iterative Process Using an Overarm Throw
title_full_unstemmed Visualisation of Fundamental Movement Skills (FMS): An Iterative Process Using an Overarm Throw
title_sort Visualisation of Fundamental Movement Skills (FMS): An Iterative Process Using an Overarm Throw
author_id_str_mv 2adaf05654ca3fb9d04c40d13c665026
author_id_fullname_str_mv 2adaf05654ca3fb9d04c40d13c665026_***_THOMAS SWAIN
author THOMAS SWAIN
author2 THOMAS SWAIN
format E-Thesis
publishDate 2022
institution Swansea University
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
document_store_str 1
active_str 0
description Fundamental Movement Skills (FMS) are precursor gross motor skills to more complex or specialised skills and are recognised as important indicators of physical competence, a key component of physical literacy. FMS are predominantly assessed using pre-defined manual methodologies, most commonly the various iterations of the Test of Gross Motor Development. However, such assessments are time-consuming and often require a minimum basic level of training to conduct. Therefore, the overall aim of this thesis was to utilise accelerometry to develop a visualisation concept as part of a feasibility study to support the learning and assessment of FMS, by reducing subjectivity and the overall time taken to conduct a gross motor skill assessment. The overarm throw, an important fundamental movement skill, was specifically selected for the visualisation development as it is an acyclic movement with a distinct initiation and conclusion. Thirteen children (14.8 ± 0.3 years; 9 boys) wore an ActiGraph GT9X Link Inertial Measurement Unit device on the dominant wrist whilst performing a series of overarm throws. This thesis illustrates how the visualisation concept was developed using raw accelerometer data, which was processed and manipulated using MATLAB 2019b software to obtain and depict key throw performance data, including the trajectory and velocity of the wrist during the throw. Overall, this thesis found that the developed visualisation concept can provide strong indicators of throw competency based on the shape of the throw trajectory. Future research should seek to utilise a larger, more diverse, population, and incorporate machine learning. Finally, further work is required to translate this concept to other gross motor skills.
published_date 2022-01-06T04:16:09Z
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score 11.021648

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