Automatic detection and recognition of pig wasting diseases using sound data in audio surveillance systems

Sensors (Switzerland)

Volumn 13, Issue 10, 2013, Pages 12929-12942

  Chung, Yongwha ^a   Oh, Seunggeun ^a   Lee, Jonguk ^a   Park, Daihee ^a   Chang, Hong Hee ^b   Kim, Suk ^b  

^a Korea University   (South Korea)

^b Gyeongsang National University   (South Korea)

Author keywords

Mel frequency cepstrum coefficient; Pig wasting diseases; Sound data; Sparse representation classifier; Support vector data description

Indexed keywords

CLASSIFIERS; DATA DESCRIPTION; PULMONARY DISEASES; SECURITY SYSTEMS; SPEECH RECOGNITION;

ACQUISITION PROCESS; AUTOMATIC DETECTION; CLASSIFICATION ACCURACY; MEL FREQUENCY CEPSTRUM COEFFICIENTS; SOUND DATA; SPARSE REPRESENTATION; SUPPORT VECTOR DATA DESCRIPTION; TWO-LEVEL STRUCTURES;

MAMMALS;

EID: 84884885714     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s131012929     Document Type: Article

References (31)

1. Gutierrez, W.M.; Kim, S.; Kim, D.H.; Yeon, S.C.; Chang, H.H. Classification of porcine wasting diseases using sound analysis. Asian Aust. J. Anim. Sci. 2010, 23, 1096-1104.
2. Hirschberg, J.; Szende, T. Pathological Cry, Stridor and Cough in Infants; Akiadémiai Kiadó: Budapest, Hungary, 1982; pp. 127-149.
3. Aerts, J.M.; Jans, P.; Halloy, D.; Gustin, P.; Berckmans, D. Labeling of cough from pigs for on-line disease monitoring by sound analysis. Am. Soc. Agric. Eng. 2005, 48, 351-354.
4. Gutierrez, A.; Gonzalez, C.; Jimenez-Leube, J.; Zazo, S.; Dopico, N.; Raos, I. A heterogeneous wireless identification network for the localization of animals based on stochastic movements. Sensors 2009, 9, 3942-3957.
5. Hancock, R.; Swain, D.; Bishop-Hurley, G.J.; Patison, K.P.; Wark, T.; Valencia, P.; Corke, P.; O'Neill, C.J. Monitoring animal behavior and environmental interactions using wireless sensor networks, GPS collars and satellite remote sensing. Sensors 2009, 9, 3586-3603.
6. Hwang, J.; Yoe, H. Study of the ubiquitous hog farm system using wireless sensor networks for environmental monitoring and facilities control. Sensors 2010, 10, 10752-10777.
7. Van Hirtum, A.; Berckmans, D. Fuzzy approach for improved recognition of citric acid induced piglet coughing from continuous registration. J. Sound Vib. 2003, 266, 677-686.
8. Madsen, P.T.; Carder, D.A.; Au, W.W.L.; Nachtigall, P.E.; Møhl, B.; Rigway, S.H. Sound production in neonate sperm whales. J. Acoust. Soc. Am. 2003, 113, 2988-2991.
9. Yeon, S.C.; Lee, H.C.; Chang, H.H.; Lee, H.J. Sound signature for the identification of tracheal collapse and laryngeal paralysis in dogs. J. Med. Sci. 2005, 67, 91-95.
10. Ikeda, Y.; Jahns, G.; Kowalczyk, W.; Walter, K. Acoustic Analysis to Recognize Individuals and Animal Conditions. In Proceedings of the XIV Memorial CIGR World Congress, Tsukuba, Japan, 28 November-1 December 2000; p. 2000.
11. Moreaux, B.; Nemmar, A.; Beerens, D.; Gustin, P. Inhibiting effect of ammonia on citric acid-induced cough in pigs: A possible involvement of substance P. Pharmacol. Toxicol. 2000, 87, 279-285.
12. Chedad, A.; Moshou, D.; Aerts, J.-M.; van Hirtum, A.; Ramon, H.; Berckmans, D. Recognition system for pig cough based on probabilistic neural networks. J. Agric. Eng. Res. 2001, 79, 449-457.
13. Manteuffel, G.; Puppe, B.; Schon, P.C. Vocalization of farm animals as a measure of welfare. Appl. Anim. Behav. Sci. 2004, 88, 163-182.
14. Marchant, J.N.; Whittaker, X.; Broom, D.M. Vocalization of the adult female domestic pig during a standard human approach test and their relationships with behavioural and heart rate measures. Anim. Behav. Sci. 2001, 72, 23-39.
15. Moshou, D.; Chedad, A.; van Hirtum, A.; de Baerdemaeker, J.; Berckmans, D.; Ramon, H. An intelligent alarm for early detection of swine epidemics based on neural networks. Trans. ASAE 2001, 44, 167-174.
16. Moura, D.J.; Silva, W.T.; Naas, I.A.; Tolon, Y.A.; Lima, K.A.O.; Vale, M.M. Real time computer stress monitoring of piglets using vocalization analysis. Comput. Electron. Agric. 2008, 64, 11-18.
17. Ferrari, S.; Silva, M.; Guarino, M.; Aerts, J.M.; Berckmans, D. Cough sound analysis to identify respiratory infection in pigs. Comput. Electron. Agric. 2008, 64, 318-325.
18. Mucherino, A.; Papajorghi, P.; Pardalos, P. Data Mining in Agriculture; Springer: New York, NY, USA, 2009.
19. Exadaktylos, V.; Silva, M.; Aerts, J.-M.; Taylor, C.J.; Berckmans, D. Real-time recognition of sick pig cough sounds. Comput. Electron. Agric. 2008, 63, 207-214.
20. Guarino, M.; Jans, P.; Costa, A.; Aertsb, J.-M.; Berckmans, D. Field test of algorithm for automatic cough detection in pig house. Comput. Electron. Agric. 2008, 64, 22-28.
21. Jančovič, P.; Kokuer, M. Automatic detection and recognition of tonal bird sounds in noisy environments. EURASIP J. Adv. Signal Proc. 2011, 2011, 1-10.
22. Shen, P.; Changjun, Z.; Chen, X. Automatic Speech Emotion Recognition Using Support Vector Machine. In Proceedings of the International Conference on Electronic & Mechanical Engineering and Information Technology, Harbin, China, 12-14 August 2011; pp. 621-625.
23. Cristianini, N.; Shawe-Taylor, J. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods; Cambridge University Press: Cambridge, UK, 2000.
24. Wright, J.; Yang, A.Y.; Ganesh, A.; Sastry, S.S.; Ma, Y. Robust face recognition via sparse representation. IEEE Trans. Pattern Anal. Mach. Intell. 2009, 31, 210-227.
25. Qiao, L.; Chen, S.; Tan, X. Sparsity preserving projections with applications to face recognition. Pattern Recogn. 2010, 43, 331-341.
26. Michael, E. Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing; Springer: New York, NY, USA, 2010.
27. Yin, J.; Liu, Z.; Jin, Z.; Yang, W. Kernel sparse representation based classification. Neurocomputing 2012, 77, 120-128.
28. Han, J.; Kamber, M.; Pei, J. Data Mining: Concepts and Techniques, 3rd ed.; Morgan Kaufman: San Francisco, CA, USA, 2012.
29. Erman, J.; Mahanti, A.; Arlitt, M. Internet Traffic Identification Using Machine Learning. In Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM '06), San Francisco, CA, USA, 27 November-1 December 2006; pp. 1-6.
30. Stanford SparseLab. Available online: http://sparselab.stanford.edu/ (accessed on 11 August 2013).
31. Ferrari, S.; Silva, M.; Guarino, M.; Berckmans, D. Analysis of cough sounds for diagnosis of respiratory infections in intensive pig farming. Trans. ASABE 2008, 51, 1051-1055.