Radar-based Evaluation of Lameness Detection in Ruminants: Preliminary Results

Fioranelli, F. , Li, H., Le Kernec, J. , Busin, V. , Jonsson, N. , King, G. , Tomlinson, M. and Viora, L. (2019) Radar-based Evaluation of Lameness Detection in Ruminants: Preliminary Results. In: IEEE MTT-S 2019 International Microwave Biomedical Conference (IMBioC2019), Nanjing, China, 6-8 May 2019, ISBN 9781538673959 (doi: 10.1109/IMBIOC.2019.8777830)

178874.pdf - Accepted Version



This paper presents preliminary results on using radar systems and micro-Doppler signatures to evaluate lameness in ruminants. Lameness is regarded as a major welfare and economic problem for animals such as cattle and sheep. As evaluation methods are typically based on timeconsuming, subjective scoring by trained veterinary clinicians, there is scope for automatic methods that can improve repeatability and reliability. Our initial results on a relatively large sample of 51 dairy cows and 75 sheep show promising performance, with accuracy above 80% for cows and above 90% for sheep in the most favorable cases.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Tomlinson, Mr Martin and Busin, Valentina and Viora, Dr Lorenzo and Jonsson, Professor Nicholas and Fioranelli, Dr Francesco and King, Mr George and Li, Haobo and Le Kernec, Dr Julien
Authors: Fioranelli, F., Li, H., Le Kernec, J., Busin, V., Jonsson, N., King, G., Tomlinson, M., and Viora, 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
Copyright Holders:Copyright © 2019 IEEE
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
3015260Intelligent RF Sensing for Fall and Health PredictionFrancesco FioranelliEngineering and Physical Sciences Research Council (EPSRC)EP/R041679/1ENG - Systems Power & Energy