K Roskilly

TL;DR: A new tracking collar is described and used, containing a combination of Global Positioning System (GPS) and inertial measurement units, to capture the locomotor dynamics and outcome of 367 predominantly hunting runs of five wild cheetahs in Botswana, providing the first detailed locomotor information on the hunting dynamics of a large cursorial predator in its natural habitat.

TL;DR: Here data is used from innovative back-mounted Global Positioning System and 6-degrees-of-freedom inertial sensors to show that pigeons do not gain an aerodynamic advantage from flying in a flock, and the increased flap frequency suggests a considerable energetic cost to flight in a tight cluster flock.

TL;DR: This low‐cost approach overcomes the limitation of low fix rate GPS and enables the long‐term deployment of lightweight GPS collars and could be applied to studies of energetics, behavioral ecology, and locomotion.

TL;DR: An unsupervised machine learning and phase-based steady locomotion detection method allows stride parameters to be extracted from GPS/accelerometer animal tracking collar data collected from free-ranging wild animals.

TL;DR: A practical, cost-effective, user-friendly stride-parameter sensing system - known as the SEnsing for Sports And Managed Exercise (SESAME) Integrated System (IS) - which is the first system for supporting practical and long-term biomechanics research studies in sprinting.