Development of an optical fiber force myography sensor based on Raspberry Pi for identification of hand postures

Matheus Gomes; Eric Fujiwara; Willian da Silva

doi:10.20396/revpibic2720192616

No. 27 (2019), Resumos

No. 27 (2019)

Development of an optical fiber force myography sensor based on Raspberry Pi for identification of hand postures

Resumos

Published 2019-11-30

Matheus Gomes⁺⁻
Eric Fujiwara⁺⁻
Willian da Silva⁺⁻

Matheus Gomes

Universidade Estadual de Campinas

Eric Fujiwara

Universidade Estadual de Campinas

https://orcid.org/0000-0001-8169-9738

Willian da Silva

Universidade Estadual de Campinas

PDF (Portuguese)

Keywords

Optical fiber sensor
Force myography
Raspberry Pi

How to Cite

GOMES, Matheus; FUJIWARA, Eric; SILVA, Willian da. Development of an optical fiber force myography sensor based on Raspberry Pi for identification of hand postures. Revista dos Trabalhos de Iniciação Científica da UNICAMP, Campinas, SP, n. 27, p. 1–1, 2019. DOI: 10.20396/revpibic2720192616. Disponível em: https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/2616. Acesso em: 22 apr. 2026.

Abstract

This project reports the developement of an optical fiber force myography sensor based on Raspberry Pi computer for identifying the hand postures. The transducers are attached to two locations of the forearm, making it possible to characterizing up to 8 gestures based on the transient and stationary characteristics of the optical signal.

PDF (Portuguese)

References

Ataollahi, A. et al. IEEE Trans. Mechatronic. v.19, p.121-130, 2014.
Fujiwara, E. et al. J. Sensors. v.2018, p. 8940373:1-10, 2018.

This work is licensed under a Creative Commons Attribution 4.0 International License.

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Development of an optical fiber force myography sensor based on Raspberry Pi for identification of hand postures

Keywords

How to Cite

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Abstract

References

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