Sensors 2013, 13(10), 12929-12942; doi:10.3390/s131012929
Article

Automatic Detection and Recognition of Pig Wasting Diseases Using Sound Data in Audio Surveillance Systems

Received: 13 June 2013; in revised form: 16 September 2013 / Accepted: 22 September 2013 / Published: 25 September 2013
(This article belongs to the Section Physical Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Automatic detection of pig wasting diseases is an important issue in the management of group-housed pigs. Further, respiratory diseases are one of the main causes of mortality among pigs and loss of productivity in intensive pig farming. In this study, we propose an efficient data mining solution for the detection and recognition of pig wasting diseases using sound data in audio surveillance systems. In this method, we extract the Mel Frequency Cepstrum Coefficients (MFCC) from sound data with an automatic pig sound acquisition process, and use a hierarchical two-level structure: the Support Vector Data Description (SVDD) and the Sparse Representation Classifier (SRC) as an early anomaly detector and a respiratory disease classifier, respectively. Our experimental results show that this new method can be used to detect pig wasting diseases both economically (even a cheap microphone can be used) and accurately (94% detection and 91% classification accuracy), either as a standalone solution or to complement known methods to obtain a more accurate solution.
Keywords: pig wasting diseases; sound data; mel frequency cepstrum coefficient; support vector data description; sparse representation classifier
PDF Full-text Download PDF Full-Text [681 KB, uploaded 21 June 2014 09:20 CEST]

Export to BibTeX |
EndNote


MDPI and ACS Style

Chung, Y.; Oh, S.; Lee, J.; Park, D.; Chang, H.-H.; Kim, S. Automatic Detection and Recognition of Pig Wasting Diseases Using Sound Data in Audio Surveillance Systems. Sensors 2013, 13, 12929-12942.

AMA Style

Chung Y, Oh S, Lee J, Park D, Chang H-H, Kim S. Automatic Detection and Recognition of Pig Wasting Diseases Using Sound Data in Audio Surveillance Systems. Sensors. 2013; 13(10):12929-12942.

Chicago/Turabian Style

Chung, Yongwha; Oh, Seunggeun; Lee, Jonguk; Park, Daihee; Chang, Hong-Hee; Kim, Suk. 2013. "Automatic Detection and Recognition of Pig Wasting Diseases Using Sound Data in Audio Surveillance Systems." Sensors 13, no. 10: 12929-12942.

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert