Quantifying allo-grooming in wild chacma baboons (Papio ursinus) using tri-axial acceleration data and machine learning

Quantifying allo-grooming in wild chacma baboons (Papio ursinus) using tri-axial acceleration data and machine learning

Quantification of activity budgets is pivotal for understanding how animals respond to changes in their environment. Social grooming is a key activity that underpins various social processes with consequences for health and fitness. Traditional methods use direct (focal) observations to calculate gr...

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Bibliographic Details
Main Authors: Charlotte Christensen, Anna M. Bracken, M. Justin O'Riain, Gaëlle Fehlmann, Mark Holton, Phillip Hopkins, Andrew J. King, Ines Fürtbauer
Format: Article
Language:English
Published: The Royal Society 2023-04-01
Series:Royal Society Open Science
Subjects:
machine learning
tri-axial accelerometers
random forest models
allo-grooming
activity budgets
primates
Online Access:https://royalsocietypublishing.org/doi/10.1098/rsos.221103

Internet

https://royalsocietypublishing.org/doi/10.1098/rsos.221103

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