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 BookConference contributionpeer-review

8 Citations (Scopus)
46 Downloads (Pure)


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 languageEnglish
Title of host publicationProceedings of the Fourth IEEE Conference on Sensors 2005
EditorsWilliam C. Tang, Andrei Shkel
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages4
ISBN (Print)9780780390563, 9780780390560
Publication statusPublished - 1 Dec 2005
Externally publishedYes
EventFourth IEEE Conference on Sensors 2005 - Irvine, CA, United States
Duration: 31 Oct 20053 Nov 2005


ConferenceFourth IEEE Conference on Sensors 2005
Country/TerritoryUnited States
CityIrvine, CA


Dive into the research topics of 'Signal processing for estimating energy expenditure of elite athletes using triaxial accelerometers'. Together they form a unique fingerprint.

Cite this