Animal lameness detection with radar sensing

Shrestha, A., Loukas, C., Le Kernec, J. , Fioranelli, F. , Busin, V. , Jonsson, N. , King, G. , Tomlinson, M., Viora, L. and Voute, L. (2018) Animal lameness detection with radar sensing. IEEE Geoscience and Remote Sensing Letters, 15(8), pp. 1189-1193. (doi: 10.1109/LGRS.2018.2832650)

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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 paper, 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.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Tomlinson, Mr Martin and Busin, Valentina and Viora, Dr Lorenzo and Loukas, Mr Charalampos and Jonsson, Professor Nicholas and Voute, Dr Lance and Fioranelli, Dr Francesco and King, Mr George and Shrestha, Mr Aman and Le Kernec, Dr Julien
Authors: Shrestha, A., Loukas, C., Le Kernec, J., Fioranelli, F., Busin, V., Jonsson, N., King, G., Tomlinson, M., Viora, L., and Voute, L.
College/School:College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine
College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IEEE Geoscience and Remote Sensing Letters
Publisher:IEEE
ISSN:1545-598X
ISSN (Online):1545-598X
Published Online:17 May 2018
Copyright Holders:Copyright © 2018 IEEE
First Published:First published in IEEE Geoscience and Remote Sensing Letters 15(8): 1189-1193
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
3001420Can we detect and monitor horses' lameness with automatic, contactless radar sensors?Francesco FioranelliPetplan Charitable Trust (PETPLAN)2017-569-607ENG - Systems Power & Energy