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

Material

ARTIGO

Idioma

Inglês

Nota geral 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... Ver mais 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 Ver menos

Resumo 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... Ver mais 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 Ver menos

Nota de informação sobre financiamento

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

Direito de acesso

Aberto

Assuntos

Tecnologia de fibra óptica

Artigo de pesquisa

Autoria

Fujiwara, Eric, 1985- Autor