Composite Activity Type and Stride-Specific Energy Expenditure Estimation Model for Thigh-Worn Accelerometry

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aut.relation.articlenumber99
aut.relation.issue1
aut.relation.journalInternational Journal of Behavioral Nutrition and Physical Activity
aut.relation.volume21
dc.contributor.authorLendt, Claas
dc.contributor.authorHansen, Niklas
dc.contributor.authorFroböse, Ingo
dc.contributor.authorStewart, Tom
dc.date.accessioned2024-09-15T23:56:01Z
dc.date.available2024-09-15T23:56:01Z
dc.date.issued2024-09-10
dc.description.abstractBackground Accurately measuring energy expenditure during physical activity outside of the laboratory is challenging, especially on a large scale. Thigh-worn accelerometers have gained popularity due to the possibility to accurately detect physical activity types. The use of machine learning techniques for activity classification and energy expenditure prediction may improve accuracy over current methods. Here, we developed a novel composite energy expenditure estimation model by combining an activity classification model with a stride specific energy expenditure model for walking, running, and cycling. Methods We first trained a supervised deep learning activity classification model using pooled data from available adult accelerometer datasets. The composite energy expenditure model was then developed and validated using additional data based on a sample of 69 healthy adult participants (49% female; age = 25.2 ± 5.8 years) who completed a standardised activity protocol with indirect calorimetry as the reference measure. Results The activity classification model showed an overall accuracy of 99.7% across all five activity types during validation. The composite model for estimating energy expenditure achieved a mean absolute percentage error of 10.9%. For running, walking, and cycling, the composite model achieved a mean absolute percentage error of 6.6%, 7.9% and 16.1%, respectively. Conclusions The integration of thigh-worn accelerometers with machine learning models provides a highly accurate method for classifying physical activity types and estimating energy expenditure. Our novel composite model approach improves the accuracy of energy expenditure measurements and supports better monitoring and assessment methods in non-laboratory settings.
dc.identifier.citationInternational Journal of Behavioral Nutrition and Physical Activity, ISSN: 1479-5868 (Online), Springer Science and Business Media LLC, 21(1). doi: 10.1186/s12966-024-01646-y
dc.identifier.doi10.1186/s12966-024-01646-y
dc.identifier.issn1479-5868
dc.identifier.urihttp://hdl.handle.net/10292/18018
dc.languageen
dc.publisherSpringer Science and Business Media LLC
dc.relation.urihttps://ijbnpa.biomedcentral.com/articles/10.1186/s12966-024-01646-y
dc.rightsOpen Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
dc.rights.accessrightsOpenAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject11 Medical and Health Sciences
dc.subject13 Education
dc.subjectPublic Health
dc.subject3210 Nutrition and dietetics
dc.subject4202 Epidemiology
dc.subject4207 Sports science and exercise
dc.titleComposite Activity Type and Stride-Specific Energy Expenditure Estimation Model for Thigh-Worn Accelerometry
dc.typeJournal Article
pubs.elements-id568626
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