Multimodal Sensor Data Fusion for In-Situ Classification of Animal Behavior Using Accelerometry and Gnss Data [PDF]
Social Science Research Network, 2022 We examine using data from multiple sensing modes, i.e., accelerometry and global navigation satellite system (GNSS), for classifying animal behavior.
Reza Arablouei +3 more
openalex +2 more sources
Neural mechanisms underlying the temporal organization of naturalistic animal behavior. [PDF]
Elife, 2022 Naturalistic animal behavior exhibits a strikingly complex organization in the temporal domain, with variability arising from at least three sources: hierarchical, contextual, and stochastic.
Mazzucato L.
europepmc +3 more sources
Animal behavior is central in shaping the realized diel light niche. [PDF]
Commun Biol, 2022 Animal behavior in space and time is structured by the perceived day/night cycle. However, this is modified by the animals’ own movement within its habitat, creating a realized diel light niche (RDLN). To understand the RDLN, we investigated the light as
Häfker NS +5 more
europepmc +2 more sources
A perspective on astrocyte regulation of neural circuit function and animal behavior. [PDF]
Glia, 2022 Studies over the past two decades have demonstrated that astrocytes are tightly associated with neurons and play pivotal roles in neural circuit development, operation, and adaptation in health and disease.
Hirrlinger J, Nimmerjahn A.
europepmc +2 more sources
R package for animal behavior classification from accelerometer data-rabc. [PDF]
Ecol Evol, 2021 Increasingly, animal behavior studies are enhanced through the use of accelerometry. To allow translation of raw accelerometer data to animal behaviors requires the development of classifiers.
Yu H, Klaassen M.
europepmc +2 more sources
Cognitive bias in animal behavior science: a philosophical perspective. [PDF]
Anim Cogn, 2022 Nematipour B, Bračić M, Krohs U.
europepmc +3 more sources
Strengthening the research-practice loop in applied animal behavior: Introduction to the special issue. [PDF]
J Exp Anal Behav, 2022 Alligood C, Edwards T, Mahoney A.
europepmc +3 more sources
Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding [PDF]
Computer Vision and Pattern Recognition, 2022 Understanding animals' behaviors is significant for a wide range of applications. However, existing animal behavior datasets have limitations in multiple aspects, including limited numbers of animal classes, data samples and provided tasks, and also ...
Xun Long Ng +5 more
semanticscholar +1 more source
CNN-Based Action Recognition and Pose Estimation for Classifying Animal Behavior from Videos: A Survey [PDF]
arXiv.org, 2023 Classifying the behavior of humans or animals from videos is important in biomedical fields for understanding brain function and response to stimuli.
Michael Perez, Corey Toler-Franklin
semanticscholar +1 more source
Movement Ecology, 2021 Background Many birds species range over vast geographic regions and migrate seasonally between their breeding and overwintering sites. Deciding when to depart for migration is one of the most consequential life-history decisions an individual may make ...
Nils Linek +11 more
doaj +1 more source