Resolving platypus behaviour from accelerometry: frequency-domain features improve detection of rhythmic behaviours in hydrodynamically challenging aquatic environments
Breony Webb, Mick Ryan, Jessica L. Thomas
This study improves platypus behavior classification using accelerometry by incorporating frequency-domain features, achieving higher accuracy for rhythmic behaviors like diving and foraging.
bioRxiv · Aug 11, 2026 · PreprintAnimal Behavior & Cognition