Optical Myography Sensor for Gesture Recognition

Autor(es)

Wu, Yu Tzu ; Fujiwara, Eric ; Suzuki, Carlos Kenichi ; IEEE

• Tipo de documento: Artigo Científico
• Fonte: 2018 IEEE 15TH INTERNATIONAL WORKSHOP ON ADVANCED MOTION CONTROL (AMC); v. N/A, p. 5-pg., 2018-01-01.

Resumo

In this work, an optical myography system is demonstrated as an innovative and promising alternative to recover gesture information. During the experiments, a total of eight different postures were defined to evaluate the sensor performance. A classifier based on artificial neural network was trained and validated, showing an average precision of similar to 92% and accuracy of similar to 98%. (AU)

• 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