Radar-based evaluation of lameness detection in ruminants: preliminary results

  • Francesco Fioranelli (Lead / Corresponding author)
  • , Haobo Li
  • , Julien Le Kernec
  • , Valentina Busin
  • , Nicholas Jonsson
  • , George King
  • , Martin Tomlinson
  • , Lorenzo Viora

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

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 time-consuming, 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.
Original languageEnglish
Title of host publicationThe IEEE MTT-S 2019 International Microwave Biomedical Conference
Subtitle of host publicationIMBioC 2019 proceedings
PublisherIEEE
Number of pages4
ISBN (Print)978-153867395-9
DOIs
Publication statusPublished - May 2019
EventThe IEEE MTT-S 2019 International Microwave Biomedical Conference - International conference hotel of Nanjing, Nanjing, China
Duration: 6 May 20198 May 2019

Conference

ConferenceThe IEEE MTT-S 2019 International Microwave Biomedical Conference
Abbreviated titleIMBioC 2019
Country/TerritoryChina
CityNanjing
Period6/05/198/05/19

Keywords

  • Lameness sensing
  • radar micro-Doppler
  • Spectrograms
  • Supervised learning
  • Veterinary radar applications

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