Deep learning accurately predicts white shark locomotor activity from depth data

Deep learning accurately predicts white shark locomotor activity from depth data

Abstract Background The study of bioenergetics, kinematics, and behavior in free-ranging animals has been transformed through the increasing use of biologging devices that sample motion intensively with high-resolution sensors. Overall dynamic body acceleration (ODBA) derived from biologging tags ha...

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Bibliographic Details
Main Authors: Zac Yung-Chun Liu, Jerry H. Moxley, Paul Kanive, Adrian C. Gleiss, Thom Maughan, Larry Bird, Oliver J. D. Jewell, Taylor K. Chapple, Tyler Gagne, Connor F. White, Salvador J. Jorgensen
Format: Article
Language:English
Published: BMC 2019-08-01
Series:Animal Biotelemetry
Subjects:
White shark
Biologging
Machine learning
Locomotion
Dynamic body acceleration
Data augmentation
Online Access:http://link.springer.com/article/10.1186/s40317-019-0175-5

Internet

http://link.springer.com/article/10.1186/s40317-019-0175-5

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