Journal article
Derivation of body motion via appropriate smoothing of acceleration data
Aquatic Biology, Vol.4, pp.235-241
2009
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 acceler-ation be derived over a period of no less than 1 stroke cycle.
Details
- Title
- Derivation of body motion via appropriate smoothing of acceleration data
- Authors/Creators
- E.L.C. Shepard (Author/Creator)R.P. Wilson (Author/Creator)L.G. Halsey (Author/Creator) - Department of Life SciencesF. Quintana (Author/Creator)A. Gómez Laich (Author/Creator)A.C. Gleiss (Author/Creator)N. Liebsch (Author/Creator)A.E. Myers (Author/Creator)B. Norman (Author/Creator)
- Publication Details
- Aquatic Biology, Vol.4, pp.235-241
- Publisher
- Inter-Research Science Center
- Identifiers
- 991005541278907891
- Copyright
- © Inter-Research 2008.
- Murdoch Affiliation
- Centre for Fish and Fisheries Research
- Language
- English
- Resource Type
- Journal article
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites
Metrics
63 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 3 Agriculture, Environment & Ecology
- 3.35 Zoology & Animal Ecology
- 3.35.33 Avian Ecology
- Web Of Science research areas
- Marine & Freshwater Biology
- ESI research areas
- Plant & Animal Science