Exadaktylos, V. and Silva, M. and Aerts, J.-M. and Taylor, C. James and Ferrari, S. and Guarino, M. and Berckmans, D. (2007) Frequency analysis for real-time identification of sick pigs and disease monitoring in pig houses. In: Precision livestock farming '07. Wageningen Academic Publishers, Wageningen, pp. 125-131. ISBN 978-90-8686-023-4Full text not available from this repository.
This paper extends existing cough identification methods and proposes a real-time version for identifying sick pig cough sounds. The analysis and classification is based on the frequency domain characteristics of the signal and a comparison to a reference set is made. This technique evaluates fuzzy c-means clustering to identify the reference set that mirrors the cough characteristics. The identification process can be implemented for real-time applications that would improve and speed up the treatment procedure in pig houses.
|Item Type:||Contribution in Book/Report/Proceedings|
|Subjects:||T Technology > TA Engineering (General). Civil engineering (General)|
|Departments:||Faculty of Science and Technology > Lancaster Environment Centre|
Faculty of Science and Technology > Engineering
|Deposited By:||Dr C. James Taylor (Engineering)|
|Deposited On:||29 Mar 2010 09:25|
|Last Modified:||25 Feb 2017 01:18|
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