Optical fiber force myography sensor for identification of hand postures
Eric Fujiwara, Carlos Kenichi Suzuki
ARTIGO
Inglês
Agradecimentos: This research was supported by Sao Paulo Research Foundation (FAPESP) under grant 2017/25666-2; Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq); Coordenacao de Pessoal e Nivel Superior (CAPES) under Finance Code 001; and Japan Society for the Promotion of Science...
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Agradecimentos: This research was supported by Sao Paulo Research Foundation (FAPESP) under grant 2017/25666-2; Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq); Coordenacao de Pessoal e Nivel Superior (CAPES) under Finance Code 001; and Japan Society for the Promotion of Science (JSPS KAKENHI) under grant JP18K18799
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A low-cost optical fiber force myography sensor for noninvasive hand posture identification is proposed. The transducers are comprised of 10 mm periodicity silica multimode fiber microbending devices mounted in PVC plates, providing 0.05 N−1 sensitivity over ~20 N range. Next, the transducers were...
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A low-cost optical fiber force myography sensor for noninvasive hand posture identification is proposed. The transducers are comprised of 10 mm periodicity silica multimode fiber microbending devices mounted in PVC plates, providing 0.05 N−1 sensitivity over ~20 N range. Next, the transducers were attached to the user forearm by means of straps in order to monitor the posterior proximal radial, the anterior medial ulnar, and the posterior distal radial muscles, and the acquired FMG optical signals were correlated to the performed gestures using a 5 hidden layers, 20-neuron artificial neural network classifier with backpropagation architecture, followed by a competitive layer. The overall results for 9 postures and 6 subjects indicated a 98.4% sensitivity and 99.7% average accuracy, being comparable to the electromyographic approaches. Moreover, in contrast to the current setups, the proposed methodology allows the identification of poses characterized by different configurations of fingers and wrist joint displacements with the utilization of only 3 transducers and a simple interrogation scheme, being suitable to further applications in human-computer interfaces
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FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP
2014/25080-0
COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPES
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ
Aberto
Fujiwara, Eric, 1985-
Autor
DOI: https://doi.org/10.1155/2018/8940373
Texto completo: https://www.hindawi.com/journals/js/2018/8940373/
Optical fiber force myography sensor for identification of hand postures
Eric Fujiwara, Carlos Kenichi Suzuki
Optical fiber force myography sensor for identification of hand postures
Eric Fujiwara, Carlos Kenichi Suzuki
Fontes
Journal of sensors Vol. 2018 (Mar., 2018), n. art. 8940373 |