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Real-time recognition of sick pig cough sounds

Exadaktylos, V. and Silva, M. and Aerts, J.-M. and Taylor, C. James and Berckmans, D. (2008) Real-time recognition of sick pig cough sounds. Computers and Electronics in Agriculture, 63 (2). pp. 207-214. ISSN 0168-1699

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Abstract

This paper extends existing cough identification methods and proposes a real-time method for identifying sick pig cough sounds. The analysis and classification is based on the frequency domain characteristics of the signal, while an improved procedure to extract the reference is presented. This technique evaluates fuzzy c-means clustering to parts of the training signals and provides a frequency content reference that mirrors the characteristics of sick pig cough. The extraction of the reference is performed in such a way that allows for the identification process to be implemented in real-time applications that would speed up the diagnosis and treatment process and improve animal welfare in pig houses. Preliminary results for the evaluation of the algorithm are based on individual sounds of healthy and sick animals acquired in laboratory conditions. An 85% overall correct classification ratio is achieved with 82% of the sick cough sounds being correctly identified.

Item Type: Article
Journal or Publication Title: Computers and Electronics in Agriculture
Uncontrolled Keywords: Real-time recognition ; Cough analysis ; Pig vocalisations ; Biomedical system ; Spectral analysis
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Departments: Faculty of Science and Technology > Engineering
ID Code: 33436
Deposited By: Dr C. James Taylor (Engineering)
Deposited On: 18 May 2010 11:39
Refereed?: Yes
Published?: Published
Last Modified: 24 Jan 2014 05:18
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/33436

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