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Open AccessArticle

A Wearable Sensor System for Lameness Detection in Dairy Cattle

1
Lehrstuhl für Angewandte Softwaretechnik, Faculty of Informatics, Technical University Munich, Bolzmannstr 3, 85748 München, Germany
2
Lehr- und Versuchsgut Oberschleißheim, Faculty of Veterinary Medicine, Ludwig Maximilian University, St. Hubertusstraße 12, 85764 München, Germany
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in the Fourth International Conference on Animal-Computer Interaction, Milton Keynes, United Kingdom, 21–23 November 2017.
Multimodal Technol. Interact. 2018, 2(2), 27; https://doi.org/10.3390/mti2020027
Received: 17 April 2018 / Revised: 8 May 2018 / Accepted: 8 May 2018 / Published: 15 May 2018
(This article belongs to the Special Issue Multimodal Technologies in Animal–Computer Interaction)
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. View Full-Text
Keywords: gait analysis; anomaly detection; unsupervised machine learning gait analysis; anomaly detection; unsupervised machine learning
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MDPI and ACS Style

Haladjian, J.; Haug, J.; Nüske, S.; Bruegge, B. A Wearable Sensor System for Lameness Detection in Dairy Cattle. Multimodal Technol. Interact. 2018, 2, 27. https://doi.org/10.3390/mti2020027

AMA Style

Haladjian J, Haug J, Nüske S, Bruegge B. A Wearable Sensor System for Lameness Detection in Dairy Cattle. Multimodal Technologies and Interaction. 2018; 2(2):27. https://doi.org/10.3390/mti2020027

Chicago/Turabian Style

Haladjian, Juan; Haug, Johannes; Nüske, Stefan; Bruegge, Bernd. 2018. "A Wearable Sensor System for Lameness Detection in Dairy Cattle" Multimodal Technol. Interact. 2, no. 2: 27. https://doi.org/10.3390/mti2020027

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