Pritish Chakravarty

Max Planck Institute of Animal Behavior · Department for the Ecology of Animal Societies

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 oppor...

Background: Animal-borne data loggers today often house several sensors recording simultaneously at high frequency. This offers opportunities to gain fine-scale insights into behaviour from individual-sensor as well as integrated multi-sensor data. In the context of behaviour recognition, even though accelerometers have been used extensively, magn...

Data from animal‐borne inertial sensors are widely used to investigate several aspects of an animal's life, such as energy expenditure, daily activity patterns and behaviour. Accelerometer data used in conjunction with machine learning algorithms have been the tool of choice for characterising animal behaviour. Although machine learning models perf...

This article presents a comprehensive theoretical model and limited experimental results for describing two-dimensional hydrodynamic focusing in microchannels involving immiscible fluids. It is shown that the normalized focused sample width depends on three non-dimensional parameters - the flow rate ratio, viscosity ratio and aspect ratio. A theory...