Derivation of body motion via appropriate smoothing of acceleration data

Shepard, Emily L. C., Wilson, Rory P., Halsey, Lewis G., Quintana, Flavio, Gomez Laich, Agustina, Gleiss, Adrian C., Liebsch, Nikolai, Myers, Andrew E. and Norman, Brad (2009) Derivation of body motion via appropriate smoothing of acceleration data. Aquatic Biology, 4 3: 235-241. doi:10.3354/ab00104

Author Shepard, Emily L. C.
Wilson, Rory P.
Halsey, Lewis G.
Quintana, Flavio
Gomez Laich, Agustina
Gleiss, Adrian C.
Liebsch, Nikolai
Myers, Andrew E.
Norman, Brad
Title Derivation of body motion via appropriate smoothing of acceleration data
Journal name Aquatic Biology   Check publisher's open access policy
ISSN 1864-7782
Publication date 2009-01
Year available 2008
Sub-type Article (original research)
DOI 10.3354/ab00104
Open Access Status DOI
Volume 4
Issue 3
Start page 235
End page 241
Total pages 7
Place of publication Oldendorf, Germany
Publisher Inter-Research
Language eng
Abstract Animal movement, as measured by the overall dynamic body acceleration (ODBA), has recently been shown to correlate well with energy expenditure. However, accelerometers measure a summed acceleration derived from 2 components: static (due to gravity) and dynamic (due to motion). Since only the dynamic component is necessary for the calculation of ODBA, there is a need to establish a robust method for determining dynamic acceleration, currently done by substracting static values from the total acceleration. This study investigated the variability in ODBA arising from deriving static acceleration by smoothing total acceleration over different durations. ODBA was calculated for 3 different modes of locomotion within 1 species (the imperial shag) and for swimming in 4 species of marine vertebrates that varied considerably in body size. ODBA was found to vary significantly with the length of the running mean. Furthermore, the variability of ODBA across running means appeared to be related to the stroke period and hence body size. The results suggest that the running mean should be taken over a minimum period of 3 s for species with a dominant stroke period of up to this value. For species with a dominant stroke period above 3 s, it is suggested that static acceleration be derived over a period of no less than 1 stroke cycle.
Keyword Dynamic acceleration
Data logger
Energy expenditure
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ
Additional Notes Published online December 23, 2008

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
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Created: Mon, 17 Oct 2011, 09:08:14 EST by Nikolai Liebsch on behalf of Queensland Brain Institute