AI-powered home cage system for real-time tracking and analysis of rodent behavior.

ABSTRACT: Researchers in animal behavior and neuroscience devote considerable time to observing rodents behavior and physiological responses, with AI monitoring systems reducing personnel workload. This study presents the RodentWatch (RW) system, which leverages deep learning to automatically identify experimental animal behaviors in home cage environments. A single multifunctional camera and edge device are installed inside the animal's home cage, allowing continuous real-time monitoring of the animal's behavior, position, and body temperature for extended periods. We investigated identifying the drinking and resting behaviors of rats, with recognition accuracy enhanced through contextual object labeling and modified non-maximum suppression (NMS) schemes. Two tests-a light cycle change test and a s

SUBMITTER: Hsieh CM 

PROVIDER: S-EPMC11600061 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature