accelerometry
- Augmenting biologging with supervised machine learning to study in situ behavior of the medusa Chrysaora fuscescens
Summary: High-resolution motion sensors paired with supervised machine learning can be used to infer fine-scale in situ behavior of zooplankton over long durations.
- The role of parasitism in the energy management of a free-ranging bird
Summary: Demonstration of the sub-lethal costs of endo-parasitism for a wild population of seabirds via increased maintenance metabolism.
- Combined use of two supervised learning algorithms to model sea turtle behaviours from tri-axial acceleration data
Summary: The development of 3D accelerometers allows us to acquire new information about sea turtle behaviour; validation of the sensor signal for turtle behaviours is important in helping conservation efforts.
- Shock attenuation in the human lumbar spine during walking and running
Highlighted Article: Human lumbar lordosis helps balance our bipedal trunk but also plays an important role in attenuating shocks transmitted through the spine during high-impact activities such as running.
- Physostomous channel catfish, Ictalurus punctatus, modify swimming mode and buoyancy based on flow conditions
Summary: Channel catfish adopted negative buoyancy in lentic environments, but maintained buoyancy closer to neutral in lotic environments to optimise their locomotion.
- Counting calories in cormorants: dynamic body acceleration predicts daily energy expenditure measured in pelagic cormorants
Summary: A doubly labelled water method validates the use of dynamic body acceleration in estimating energy expenditure of a foot-propelled diving homeotherm capable of flight in the wild.