Signal processing for estimating energy expenditure of elite athletes using triaxial accelerometers

Andrew Wixted; David Thiel; Daniel James; Allan Hahn; Christopher Gore; David Pyne

doi:10.1109/ICSENS.2005.1597820

Signal processing for estimating energy expenditure of elite athletes using triaxial accelerometers

Andrew Wixted, David Thiel, Daniel James, Allan Hahn, Christopher Gore, David Pyne

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

8 Citations (Scopus)

54 Downloads (Pure)

Abstract

Fitness development of elite athletes requires an understanding of physiological factors such as athlete energy expenditure (EE). For athletes involved in football at the elite level, it is necessary to understand the energy demands during competition to develop training regimes. By identifying an appropriate EE estimator in triaxial accelerometer data, in conjunction with identifying sources of inter-athlete variance in that estimator, signal processing was developed to extract the estimator. In this system, low-power signal processing was implemented to extract both the EE estimator and other information of physiological and statistical interest.

Original language	English
Title of host publication	Proceedings of the Fourth IEEE Conference on Sensors 2005
Editors	William C. Tang, Andrei Shkel
Place of Publication	United States
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	798-801
Number of pages	4
Volume	2005
ISBN (Print)	9780780390563, 9780780390560
DOIs	https://doi.org/10.1109/ICSENS.2005.1597820
Publication status	Published - 1 Dec 2005
Externally published	Yes
Event	Fourth IEEE Conference on Sensors 2005 - Irvine, CA, United States Duration: 31 Oct 2005 → 3 Nov 2005

Conference

Conference	Fourth IEEE Conference on Sensors 2005
Country/Territory	United States
City	Irvine, CA
Period	31/10/05 → 3/11/05

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10.1109/ICSENS.2005.1597820

Conference ContributionFinal published version, 234 KB

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Wixted, A., Thiel, D., James, D., Hahn, A., Gore, C., & Pyne, D. (2005). Signal processing for estimating energy expenditure of elite athletes using triaxial accelerometers. In W. C. Tang, & A. Shkel (Eds.), Proceedings of the Fourth IEEE Conference on Sensors 2005 (Vol. 2005, pp. 798-801). [1597820] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICSENS.2005.1597820

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abstract = "Fitness development of elite athletes requires an understanding of physiological factors such as athlete energy expenditure (EE). For athletes involved in football at the elite level, it is necessary to understand the energy demands during competition to develop training regimes. By identifying an appropriate EE estimator in triaxial accelerometer data, in conjunction with identifying sources of inter-athlete variance in that estimator, signal processing was developed to extract the estimator. In this system, low-power signal processing was implemented to extract both the EE estimator and other information of physiological and statistical interest.",

author = "Andrew Wixted and David Thiel and Daniel James and Allan Hahn and Christopher Gore and David Pyne",

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Wixted, A, Thiel, D, James, D, Hahn, A, Gore, C & Pyne, D 2005, Signal processing for estimating energy expenditure of elite athletes using triaxial accelerometers. in WC Tang & A Shkel (eds), Proceedings of the Fourth IEEE Conference on Sensors 2005. vol. 2005, 1597820, IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 798-801, Fourth IEEE Conference on Sensors 2005, Irvine, CA, United States, 31/10/05. https://doi.org/10.1109/ICSENS.2005.1597820

Signal processing for estimating energy expenditure of elite athletes using triaxial accelerometers. / Wixted, Andrew; Thiel, David; James, Daniel et al.
Proceedings of the Fourth IEEE Conference on Sensors 2005. ed. / William C. Tang; Andrei Shkel. Vol. 2005 United States: IEEE, Institute of Electrical and Electronics Engineers, 2005. p. 798-801 1597820.

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

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AU - Gore, Christopher

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AB - Fitness development of elite athletes requires an understanding of physiological factors such as athlete energy expenditure (EE). For athletes involved in football at the elite level, it is necessary to understand the energy demands during competition to develop training regimes. By identifying an appropriate EE estimator in triaxial accelerometer data, in conjunction with identifying sources of inter-athlete variance in that estimator, signal processing was developed to extract the estimator. In this system, low-power signal processing was implemented to extract both the EE estimator and other information of physiological and statistical interest.

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BT - Proceedings of the Fourth IEEE Conference on Sensors 2005

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Wixted A, Thiel D, James D, Hahn A, Gore C, Pyne D. Signal processing for estimating energy expenditure of elite athletes using triaxial accelerometers. In Tang WC, Shkel A, editors, Proceedings of the Fourth IEEE Conference on Sensors 2005. Vol. 2005. United States: IEEE, Institute of Electrical and Electronics Engineers. 2005. p. 798-801. 1597820 doi: 10.1109/ICSENS.2005.1597820

Signal processing for estimating energy expenditure of elite athletes using triaxial accelerometers

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