Seek and learn: automated identification of microevents in animal behaviour using envelopes of acceleration data and machine learning

Pritish Chakravarty, Gabriele Cozzi, Hooman Dejnabadi, Pierre-Alexandre Léziart, Marta Manser, Arpat Ozgul & Kamiar Aminian
1. Animal-borne accelerometers have been used across more than 120 species to infer biologically significant information such as energy expenditure and broad behavioural categories. While the accelerometer’s high sensitivity to movement and fast response times present the unprecedented opportunity to resolve fine-scale behaviour, leveraging this opportunity will require overcoming the challenge of developing general, automated methods to analyse the nonstationary signals generated by nonlinear processes governing erratic, impulsive movement characteristic of fine-scale behaviour. 2. We...
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9 downloads reported since publication in 2020.

These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
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