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Authors = Juan Haladjian ORCID = 0000-0003-0248-2333

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15 pages, 12716 KiB  
Article
A Wearable Sensor System for Lameness Detection in Dairy Cattle
by Juan Haladjian, Johannes Haug, Stefan Nüske and Bernd Bruegge
Multimodal Technol. Interact. 2018, 2(2), 27; https://doi.org/10.3390/mti2020027 - 15 May 2018
Cited by 64 | Viewed by 9856
Abstract
Cow lameness is a common manifestation in dairy cattle that causes severe health and life quality issues to cows, including pain and a reduction in their life expectancy. In our previous work, we introduced an algorithmic approach to automatically detect anomalies in the [...] Read more.
Cow lameness is a common manifestation in dairy cattle that causes severe health and life quality issues to cows, including pain and a reduction in their life expectancy. In our previous work, we introduced an algorithmic approach to automatically detect anomalies in the walking pattern of cows using a wearable motion sensor. In this article, we provide further insights into a system for automatic lameness detection, including the decisions we made when designing the system, the requirements that drove these decisions and provide further insight into the algorithmic approach. Results from a controlled experiment we conducted indicate that our approach can detect deviations in cows’ gait with an accuracy of 91.1%. The information provided by our system can be useful to spot lameness-related diseases automatically and alarm veterinarians. Full article
(This article belongs to the Special Issue Multimodal Technologies in Animal–Computer Interaction)
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