Search Results for author:
Found 3 papers, 1 papers with code
Animal Behavior Classification via Accelerometry Data and Recurrent Neural Networks
We study the classification of animal behavior using accelerometry data through various recurrent neural network (RNN) models.
Animal behavior classification via deep learning on embedded systems
We develop an end-to-end deep-neural-network-based algorithm for classifying animal behavior using accelerometry data on the embedded system of an artificial intelligence of things (AIoT) device installed in a wearable collar tag.
Video-based cattle identification and action recognition
We demonstrate a working prototype for the monitoring of cow welfare by automatically analysing the animal behaviours.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
