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Development of an optical fiber force myography sensor for applications in human-robot interfaces

Grant number: 17/25666-2
Support type:Regular Research Grants
Duration: May 01, 2018 - April 30, 2020
Field of knowledge:Engineering - Electrical Engineering
Principal Investigator:Eric Fujiwara
Grantee:Eric Fujiwara
Home Institution: Faculdade de Engenharia Mecânica (FEM). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Assoc. researchers:Carlos Kenichi Suzuki

Abstract

The force myography (FMG) is the mechanical counterpart of the surface electromyography, in which the hand movements and forces are estimated from the radial pressure exerted by the forearm muscles, providing a robust and straightforward method for applications in teleoperation, prosthesis control, and human-robot interaction. In this sense, the project proposes the development of an optical fiber sensor system for postures identification by FMG. The wearable optomechanical transducers will be designed based on techniques such as light intensity modulation and specklegram analyses, with further characterization and refinements in order to achieve 10 N sensitivity and 100 ms dynamic response. Next, waveform features extraction procedures and artificial neural networks classifiers will be implemented for correlating the acquired FMG signals to the performed postures, with 90% target accuracy. Finally, the measurement system will be integrated with a virtual anthropomorphic manipulator for real-time control, so the robot behavior will be described by an event-driven finite state machine switched by the classifier output. The successful accomplishment of this project will provide a novel, robust, and low-cost technology for human-robot interaction, with further applications in bionic prostheses control and virtual reality systems, thus generating technical contributions to the fields of photonics, robotics, and automation, as well as multidisciplinary scientific results. (AU)

Scientific publications (5)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
FUJIWARA, ERIC; DA SILVA, LUIZ EVARISTO; CABRAL, THIAGO DESTRI; DE FREITAS, HUGO EUGENIO; WU, YU TZU; DE BARROS CORDEIRO, CRISTIANO MONTEIRO. Optical Fiber Specklegram Chemical Sensor Based on a Concatenated Multimode Fiber Structure. Journal of Lightwave Technology, v. 37, n. 19, p. 5041-5047, OCT 1 2019. Web of Science Citations: 0.
FUJIWARA, ERIC; HAYASHI, JULIANO G.; DELFINO, TIAGO DA SILVA; JORGE, PEDRO A. S.; DE BARROS CORDEIRO, CRISTIANO MONTEIRO. Optical Fiber Anemometer Based on a Multi-FBG Curvature Sensor. IEEE SENSORS JOURNAL, v. 19, n. 19, SI, p. 8727-8732, OCT 1 2019. Web of Science Citations: 0.
WU, YU TZU; FUJIWARA, ERIC; SUZUKI, CARLOS K. Evaluation of Optical Myography Sensor as Predictor of Hand Postures. IEEE SENSORS JOURNAL, v. 19, n. 13, p. 5299-5306, JUL 1 2019. Web of Science Citations: 0.
FUJIWARA, ERIC; RI, YOSHI; WU, YU TZU; FUJIMOTO, HIROSHI; SUZUKI, CARLOS KENICHI. Evaluation o image matching techniques for optical fiber specklegram sensor analysis. APPLIED OPTICS, v. 57, n. 33, p. 9845-9854, NOV 20 2018. Web of Science Citations: 2.
FUJIWARA, ERIC; DA SILVA, LUIZ EVARISTO; MARQUES, THIAGO H. R.; CORDEIRO, CRISTIANO M. B. Polymer optical fiber specklegram strain sensor with extended dynamic range. Optical Engineering, v. 57, n. 11 NOV 2018. Web of Science Citations: 3.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.