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 language | English |
|---|---|
| Title of host publication | The IEEE MTT-S 2019 International Microwave Biomedical Conference |
| Subtitle of host publication | IMBioC 2019 proceedings |
| Publisher | IEEE |
| Number of pages | 4 |
| ISBN (Print) | 978-153867395-9 |
| DOIs | |
| Publication status | Published - May 2019 |
| Event | The IEEE MTT-S 2019 International Microwave Biomedical Conference - International conference hotel of Nanjing, Nanjing, China Duration: 6 May 2019 → 8 May 2019 |
Conference
| Conference | The IEEE MTT-S 2019 International Microwave Biomedical Conference |
|---|---|
| Abbreviated title | IMBioC 2019 |
| Country/Territory | China |
| City | Nanjing |
| Period | 6/05/19 → 8/05/19 |
Keywords
- Lameness sensing
- radar micro-Doppler
- Spectrograms
- Supervised learning
- Veterinary radar applications