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Animal Lameness Detection With Radar Sensing.

Authors :
Shrestha, Aman
Loukas, Charalampos
Le Kernec, Julien
Fioranelli, Francesco
Busin, Valentina
Jonsson, Nicholas
King, George
Tomlinson, Martin
Viora, Lorenzo
Voute, Lance
Source :
IEEE Geoscience & Remote Sensing Letters; Aug2018, Vol. 15 Issue 8, p1189-1193, 5p
Publication Year :
2018

Abstract

Lameness is a significant problem for performance horses and farmed animals, with severe impact on animal welfare and treatment costs. Lameness is commonly diagnosed through subjective scoring methods performed by trained veterinary clinicians, but automatic methods using suitable sensors would improve efficiency and reliability. In this letter, we propose the use of radar micro-Doppler signatures for contactless and automatic identification of lameness, and present preliminary results for dairy cows, sheep, and horses. These proof-of-concept results are promising, with classification accuracy above 85% for dairy cows, around 92% for horses, and close to 99% for sheep. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1545598X
Volume :
15
Issue :
8
Database :
Complementary Index
Journal :
IEEE Geoscience & Remote Sensing Letters
Publication Type :
Academic Journal
Accession number :
130980955
Full Text :
https://doi.org/10.1109/LGRS.2018.2832650