In vivo pattern classification of ingestive behavior in ruminants using FBG sensors and machine learning

Sensors (Switzerland)

Volumn 15, Issue 11, 2015, Pages 28456-28471

  Pegorini, Vinicius ^a   Karam, Leandro Zen ^a,b   Pitta, Christiano Santos Rocha ^c   Cardoso, Rafael ^a   da Silva, Jean Carlos Cardozo ^a   Kalinowski, Hypolito José ^a   Ribeiro, Richardson ^a   Bertotti, Fábio Luiz ^a   Assmann, Tangriani Simioni ^a  

^a UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ   (Brazil)

^b PONTIFICAL CATHOLIC UNIVERSITY OF PARANÁ   (Brazil)

^c INSTITUTO FEDERAL DO PARANÁ   (Brazil)

Author keywords

Biomechanical forces; Fiber Bragg grating sensor (FBG); Ingestive behavior; Machine learning; Pattern classification

Indexed keywords

ANIMALS; ARTIFICIAL INTELLIGENCE; BIOMECHANICS; BRAGG GRATINGS; DECISION TREES; DIETARY SUPPLEMENTS; ELECTRIC SENSING DEVICES; FIBER OPTIC SENSORS; LEARNING SYSTEMS; MAMMALS; NUTRITION; OPTICAL FIBERS; PATTERN RECOGNITION;

ANIMAL NUTRITIONS; BIOMECHANICAL FORCES; FIBER BRAGG GRATING SENSORS; IN-VIVO EXPERIMENTS; INGESTIVE BEHAVIOR; MACHINE LEARNING TECHNIQUES; OPTICAL FIBER BRAGG GRATING SENSORS; OVERALL ACCURACIES;

FIBER BRAGG GRATINGS;

ALGORITHM; ANIMAL; BIOMECHANICS; CLASSIFICATION; DEVICES; EQUIPMENT DESIGN; FEEDING BEHAVIOR; FIBER OPTICS; MACHINE LEARNING; MASTICATION; PHYSIOLOGY; PROCEDURES; RUMINANT;

ALGORITHMS; ANIMALS; BIOMECHANICAL PHENOMENA; EQUIPMENT DESIGN; FEEDING BEHAVIOR; FIBER OPTIC TECHNOLOGY; MACHINE LEARNING; MASTICATION; RUMINANTS;

EID: 84946949558     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s151128456     Document Type: Article

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