Development of an optical fiber force myography sensor based on Raspberry Pi for identification of hand postures
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
https://doi.org/10.20396/revpibic2720192616
Published 2019-11-30
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 (Português (Brasil))

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.bc.unicamp.br/eventos/index.php/pibic/article/view/2616. Acesso em: 17 jul. 2024.
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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.

https://doi.org/10.20396/revpibic2720192616
PDF (Português (Brasil))

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.

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