期刊论文详细信息
Aquatic Biology
Derivation of body motion via appropriate smoothing of acceleration data
Rory P. Wilson1  Nikolai Liebsch1  Adrian C. Gleiss1  Brad Norman1  Lewis G. Halsey1  Agustina Gómez Laich1  Emily L. C. Shepard1  Flavio Quintana1  Andrew E. Myers1 
关键词: Dynamic acceleration;    Data logger;    Energy expenditure;    ODBA;    Marine predator;   
DOI  :  10.3354/ab00104
学科分类:生物科学(综合)
来源: Inter-Research
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【 摘 要 】
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.

【 授权许可】

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