Optical Fiber Force Myography Sensor for Applications in Prosthetic Hand Control

Autor(es)

Fujiwara, Eric ; Wu, Yu Tzu ; Suzuki, Carlos Kenichi ; de Andrade, Dandara Thamilys Guedes ; Ribas Neto, Antonio ; Rohmer, Eric ; IEEE

• Tipo de documento: Artigo Científico
• Fonte: 2018 IEEE 15TH INTERNATIONAL WORKSHOP ON ADVANCED MOTION CONTROL (AMC); v. N/A, p. 6-pg., 2018-01-01.

Resumo

The application of an optical fiber sensor on the identification of hand postures by force myography technique is reported. The transducers are comprised of fiber microbending elements attached to the user forearm, allowing the assessment of muscular activities related to the hand movements. Next, the output light intensities are detected, and then correlated to the performed postures by means of artificial neural networks. The methodology was applied on the identification of 5 postures, yielding a 96.7% accuracy considering the average of 4 subjects. Finally, the sensor was utilized for controlling a virtual prosthetic hand implemented on V-REP environment, based on the event driven finite-state approach, providing the real-time execution of predefined grasp patterns. (AU)

• Processo FAPESP: 13/07559-3 - Instituto Brasileiro de Neurociência e Neurotecnologia - BRAINN
• Beneficiário: Fernando Cendes
• Modalidade de apoio: Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs
• Processo FAPESP: 14/25080-0 - Desenvolvimento de sistema de sensoriamento tátil baseado em fibras ópticas para aplicações em mecatrônica
• Beneficiário: Eric Fujiwara
• Modalidade de apoio: Auxílio à Pesquisa - Regular