An automatic behavior recognition system classifies animal behaviors using movements and their temporal context.

ABSTRACT: Animals can perform complex and purposeful behaviors by executing simpler movements in flexible sequences. It is particularly challenging to analyze behavior sequences when they are highly variable, as is the case in language production, certain types of birdsong and, as in our experiments, flies grooming. High sequence variability necessitates rigorous quantification of large amounts of data to identify organizational principles and temporal structure of such behavior. To cope with large amounts of data, and minimize human effort and subjective bias, researchers often use automatic behavior recognition software. Our standard grooming assay involves coating flies in dust and videotaping them as they groom to remove it. The flies move freely and so perform the same movements in various orie

SUBMITTER: Ravbar P 

PROVIDER: S-EPMC6779137 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature