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Activity Mapping of Children in Play Using Multivariate Analysis of Movement Events

Paul Rees Orcid Logo, Joana N. Rocha, Claire Barnes Orcid Logo, Paul Rees, Cain T. Clark, Gareth Stratton, Huw D. Summers

Medicine & Science in Sports & Exercise, Start page: 1

Swansea University Authors: Paul Rees Orcid Logo, Claire Barnes Orcid Logo

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DOI (Published version): 10.1249/MSS.0000000000002119

Abstract

The purpose of this work was to develop an automated measurement technique for the assessment of both the form and intensity of physical activity undertaken by children during play. Further to this, our aim was to profile the varying activity across a cohort of children using a multivariate analysis...

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Published in: Medicine & Science in Sports & Exercise
ISSN: 0195-9131
Published: 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa51987
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first_indexed 2019-09-22T20:17:24Z
last_indexed 2019-10-09T20:20:34Z
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spelling 2019-10-09T15:59:52.7495278 v2 51987 2019-09-22 Activity Mapping of Children in Play Using Multivariate Analysis of Movement Events 537a2fe031a796a3bde99679ee8c24f5 0000-0002-7715-6914 Paul Rees Paul Rees true false 024232879fc13d5ceac584360af8742c 0000-0003-1031-7127 Claire Barnes Claire Barnes true false 2019-09-22 MEDE The purpose of this work was to develop an automated measurement technique for the assessment of both the form and intensity of physical activity undertaken by children during play. Further to this, our aim was to profile the varying activity across a cohort of children using a multivariate analysis of their movement patterns. Methods: Ankle-worn accelerometers were used to record 40-minutes of activity during a school recess, for 24 children over 5 consecutive days. Epochs of 1.1 second duration were identified within the acceleration time trace and compared to a reference motif, consisting of a single walking stride acceleration trace, obtained in a controlled setting of the motion lab. Dynamic time warping (DTW) of motif and activity events provided metrics of comparative movement duration and intensity, which formed the data set for multivariate mapping of the cohort activity using a principal component analysis (PCA). Results: The 2-D PCA plot provided clear differentiation of children displaying diverse activity profiles and clustering of those with similar movement patterns. The 1 component of the PCA correlated to the integrated intensity of movement over the 40 min. period whilst the 2 component informed on the temporal phasing of activity. Conclusion: By defining movement events and then quantifying them by reference to a motion-standard, meaningful assessment of highly varied activity within free play can be obtained. This allows detailed profiling of individual children's activity and provides an insight on social aspects of play through identification of matched activity time profiles for children participating in conjoined play. Journal Article Medicine & Science in Sports & Exercise 1 0195-9131 Accelerometry, Multivariate analysis of movement, Principal Component Analysis, Cluster Analysis 19 8 2019 2019-08-19 10.1249/MSS.0000000000002119 COLLEGE NANME Biomedical Engineering COLLEGE CODE MEDE Swansea University 2019-10-09T15:59:52.7495278 2019-09-22T19:21:39.5588537 Faculty of Science and Engineering School of Engineering and Applied Sciences - Biomedical Engineering Paul Rees 0000-0002-7715-6914 1 Joana N. Rocha 2 Claire Barnes 0000-0003-1031-7127 3 Paul Rees 4 Cain T. Clark 5 Gareth Stratton 6 Huw D. Summers 7 0051987-09102019155946.pdf rocha2019.pdf 2019-10-09T15:59:46.0670000 Output 2707764 application/pdf Accepted Manuscript true 2019-10-09T00:00:00.0000000 true eng
title Activity Mapping of Children in Play Using Multivariate Analysis of Movement Events
spellingShingle Activity Mapping of Children in Play Using Multivariate Analysis of Movement Events
Paul Rees
Claire Barnes
title_short Activity Mapping of Children in Play Using Multivariate Analysis of Movement Events
title_full Activity Mapping of Children in Play Using Multivariate Analysis of Movement Events
title_fullStr Activity Mapping of Children in Play Using Multivariate Analysis of Movement Events
title_full_unstemmed Activity Mapping of Children in Play Using Multivariate Analysis of Movement Events
title_sort Activity Mapping of Children in Play Using Multivariate Analysis of Movement Events
author_id_str_mv 537a2fe031a796a3bde99679ee8c24f5
024232879fc13d5ceac584360af8742c
author_id_fullname_str_mv 537a2fe031a796a3bde99679ee8c24f5_***_Paul Rees
024232879fc13d5ceac584360af8742c_***_Claire Barnes
author Paul Rees
Claire Barnes
author2 Paul Rees
Joana N. Rocha
Claire Barnes
Paul Rees
Cain T. Clark
Gareth Stratton
Huw D. Summers
format Journal article
container_title Medicine & Science in Sports & Exercise
container_start_page 1
publishDate 2019
institution Swansea University
issn 0195-9131
doi_str_mv 10.1249/MSS.0000000000002119
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 - Biomedical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Biomedical Engineering
document_store_str 1
active_str 0
description The purpose of this work was to develop an automated measurement technique for the assessment of both the form and intensity of physical activity undertaken by children during play. Further to this, our aim was to profile the varying activity across a cohort of children using a multivariate analysis of their movement patterns. Methods: Ankle-worn accelerometers were used to record 40-minutes of activity during a school recess, for 24 children over 5 consecutive days. Epochs of 1.1 second duration were identified within the acceleration time trace and compared to a reference motif, consisting of a single walking stride acceleration trace, obtained in a controlled setting of the motion lab. Dynamic time warping (DTW) of motif and activity events provided metrics of comparative movement duration and intensity, which formed the data set for multivariate mapping of the cohort activity using a principal component analysis (PCA). Results: The 2-D PCA plot provided clear differentiation of children displaying diverse activity profiles and clustering of those with similar movement patterns. The 1 component of the PCA correlated to the integrated intensity of movement over the 40 min. period whilst the 2 component informed on the temporal phasing of activity. Conclusion: By defining movement events and then quantifying them by reference to a motion-standard, meaningful assessment of highly varied activity within free play can be obtained. This allows detailed profiling of individual children's activity and provides an insight on social aspects of play through identification of matched activity time profiles for children participating in conjoined play.
published_date 2019-08-19T04:04:06Z
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