Abstract

Estimation of human energy expenditure in sports and exercise contributes to performance analyses and tracking of physical activity levels. The focus of this work is to develop a video-based method for estimation of energy expenditure in athletes. We propose a method using thermal video analysis to automatically extract the cyclic motion pattern, in walking and running represented as steps, and analyse the frequency. Experiments are performed with one subject in two different tests, each at 5, 8, 10, and 12 km/h. The results of our proposed video-based method is compared to concurrent measurements of oxygen uptake. These initial experiments indicate a correlation between estimated step frequency and oxygen uptake. Based on the preliminary results we conclude that the proposed method has potential as a future non-invasive approach to estimate energy expenditure during sports.
Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
PublisherIEEE
Publication date24 Aug 2017
ISBN (Print)978-1-5386-0734-3
ISBN (Electronic)978-1-5386-0733-6
DOIs
Publication statusPublished - 24 Aug 2017
Event2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) - Honolulu, United States
Duration: 21 Jul 201726 Jul 2017
http://cvpr2017.thecvf.com/

Conference

Conference2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
CountryUnited States
CityHonolulu
Period21/07/201726/07/2017
Internet address

Fingerprint

Sports
Oxygen
Experiments
Energy Metabolism
Hot Temperature

Cite this

Gade, R., Larsen, R. G., & Moeslund, T. B. (2017). Measuring energy expenditure in sports by thermal video analysis. In Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) IEEE. https://doi.org/10.1109/CVPRW.2017.29
Gade, Rikke ; Larsen, Ryan Godsk ; Moeslund, Thomas B. / Measuring energy expenditure in sports by thermal video analysis. Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2017.
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abstract = "Estimation of human energy expenditure in sports and exercise contributes to performance analyses and tracking of physical activity levels. The focus of this work is to develop a video-based method for estimation of energy expenditure in athletes. We propose a method using thermal video analysis to automatically extract the cyclic motion pattern, in walking and running represented as steps, and analyse the frequency. Experiments are performed with one subject in two different tests, each at 5, 8, 10, and 12 km/h. The results of our proposed video-based method is compared to concurrent measurements of oxygen uptake. These initial experiments indicate a correlation between estimated step frequency and oxygen uptake. Based on the preliminary results we conclude that the proposed method has potential as a future non-invasive approach to estimate energy expenditure during sports.",
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Gade, R, Larsen, RG & Moeslund, TB 2017, Measuring energy expenditure in sports by thermal video analysis. in Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, Honolulu, United States, 21/07/2017. https://doi.org/10.1109/CVPRW.2017.29

Measuring energy expenditure in sports by thermal video analysis. / Gade, Rikke; Larsen, Ryan Godsk; Moeslund, Thomas B.

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2017.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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AB - Estimation of human energy expenditure in sports and exercise contributes to performance analyses and tracking of physical activity levels. The focus of this work is to develop a video-based method for estimation of energy expenditure in athletes. We propose a method using thermal video analysis to automatically extract the cyclic motion pattern, in walking and running represented as steps, and analyse the frequency. Experiments are performed with one subject in two different tests, each at 5, 8, 10, and 12 km/h. The results of our proposed video-based method is compared to concurrent measurements of oxygen uptake. These initial experiments indicate a correlation between estimated step frequency and oxygen uptake. Based on the preliminary results we conclude that the proposed method has potential as a future non-invasive approach to estimate energy expenditure during sports.

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Gade R, Larsen RG, Moeslund TB. Measuring energy expenditure in sports by thermal video analysis. In Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE. 2017 https://doi.org/10.1109/CVPRW.2017.29