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Proceedings Paper

In-vivo determination of chewing patterns using FBG and artificial neural networks
Author(s): Vinicius Pegorini; Leandro Zen Karam; Christiano Santos Rocha Pitta; Richardson Ribeiro; Tangriani Simioni Assmann; Jean Carlos Cardozo da Silva; Fábio Luiz Bertotti; Hypolito José Kalinowski; Rafael Cardoso
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Paper Abstract

This paper reports the process of pattern classification of the chewing process of ruminants. We propose a simplified signal processing scheme for optical fiber Bragg grating (FBG) sensors based on machine learning techniques. The FBG sensors measure the biomechanical forces during jaw movements and an artificial neural network is responsible for the classification of the associated chewing pattern. In this study, three patterns associated to dietary supplement, hay and ryegrass were considered. Additionally, two other important events for ingestive behavior studies were monitored, rumination and idle period. Experimental results show that the proposed approach for pattern classification has been capable of differentiating the materials involved in the chewing process with a small classification error.

Paper Details

Date Published: 28 September 2015
PDF: 4 pages
Proc. SPIE 9634, 24th International Conference on Optical Fibre Sensors, 963427 (28 September 2015); doi: 10.1117/12.2195642
Show Author Affiliations
Vinicius Pegorini, Federal Univ. of Technology, Paraná (Brazil)
Leandro Zen Karam, Federal Univ. of Technology, Paraná (Brazil)
Pontifical Catholic Univ. of Paraná (Brazil)
Christiano Santos Rocha Pitta, Federal Institute of Paraná (Brazil)
Richardson Ribeiro, Federal Univ. of Technology, Paraná (Brazil)
Tangriani Simioni Assmann, Federal Univ. of Technology, Paraná (Brazil)
Jean Carlos Cardozo da Silva, Federal Univ. of Technology, Paraná (Brazil)
Fábio Luiz Bertotti, Federal Univ. of Technology, Paraná (Brazil)
Hypolito José Kalinowski, Federal Univ. of Technology, Paraná (Brazil)
Rafael Cardoso, Federal Univ. of Technology, Paraná (Brazil)


Published in SPIE Proceedings Vol. 9634:
24th International Conference on Optical Fibre Sensors
Hypolito José Kalinowski; José Luís Fabris; Wojtek J. Bock, Editor(s)

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