Deep Learning Classification of Canine Behavior Using a Single Collar-Mounted Accelerometer: Real-World Validation

Deep Learning Classification of Canine Behavior Using a Single Collar-Mounted Accelerometer: Real-World Validation

Collar-mounted canine activity monitors can use accelerometer data to estimate dog activity levels, step counts, and distance traveled. With recent advances in machine learning and embedded computing, much more nuanced and accurate behavior classification has become possible, giving these affordable...

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Bibliographic Details
Main Authors: Robert D. Chambers, Nathanael C. Yoder, Aletha B. Carson, Christian Junge, David E. Allen, Laura M. Prescott, Sophie Bradley, Garrett Wymore, Kevin Lloyd, Scott Lyle
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Animals
Subjects:
canine
accelerometer
deep learning
behavior
activity monitor
Online Access:https://www.mdpi.com/2076-2615/11/6/1549

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