Automatic equine activity detection by convolutional neural networks using accelerometer data

Volume: 168, Pages: 105139 - 105139
Published: Jan 1, 2020
Abstract
In recent years, with a widespread of sensors embedded in all kind of mobile devices, human activity analysis is occurring more often in several domains like healthcare monitoring and fitness tracking. This trend did also enter the equestrian world because monitoring behaviours can yield important information about the health and welfare of horses. In this research, a deep learning-based approach for activity detection of equines is proposed to...
Paper Details
Title
Automatic equine activity detection by convolutional neural networks using accelerometer data
Published Date
Jan 1, 2020
Volume
168
Pages
105139 - 105139
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