Accurately capturing short-burst, high-frequency animal behaviors—such as prey catching, swallowing, or escape maneuvers—with accelerometers presents unique methodological challenges.
This article provides a comprehensive guide for researchers and scientists on maximizing the operational lifespan of GPS-accelerometer biologging tags.
This article provides a comprehensive guide for researchers and drug development professionals on addressing the critical challenge of accelerometer data aliasing in animal studies.
This comprehensive article addresses the critical challenge of measurement error in animal-attached accelerometers, which significantly impacts data reliability in behavioral ecology and biomedical research.
Hidden Markov Models (HMMs) have emerged as a powerful statistical framework for classifying animal behavior from tracking data, enabling researchers to infer unobserved behavioral states from observable movement patterns.
This article explores the pivotal role of accelerometers in modern wildlife biologging, a field revolutionizing animal ecology and conservation.
Determining the optimal accelerometer sampling frequency is critical for obtaining accurate behavioral classifications and energy expenditure estimates in avian studies.
This article provides a comprehensive guide for researchers and drug development professionals on the foundational concepts and methodologies of accelerometer-based behavior classification.
This article provides a comprehensive overview for researchers and scientists on the use of animal-borne accelerometers to uncover foraging patterns.
This article provides a comprehensive introduction to animal-attached accelerometers for researchers and scientists.