Development of algorithms for hand movements classification based on optical fiber force myography signals
Force myography (FMG) is the mechanical counterpart of the surface electromyography, providing a low-cost and straightforward alternative for tracking the hand movements in applications related to rehabilitation and robotics. This project proposes the development of a modularized and scalable algori...
Guardado en:
| Autores principales: | , , |
|---|---|
| Formato: | Online |
| Lenguaje: | portugués |
| Publicado: |
Universidade Estadual de Campinas
2019
|
| Materias: | |
| Acceso en línea: | https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/1807 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1864358906067681280 |
|---|---|
| author | Silva, Willian da Fujiwara, Eric Gomes, Matheus |
| author_facet | Silva, Willian da Fujiwara, Eric Gomes, Matheus |
| author_sort | Silva, Willian da |
| collection | Portal de Eventos Científicos da UNICAMP |
| container_reference | Revista dos Trabalhos de Iniciação Científica da UNICAMP; n. 27 (2019): Congresso de Iniciação Científica UNICAMP; 1-1 |
| description | Force myography (FMG) is the mechanical counterpart of the surface electromyography, providing a low-cost and straightforward alternative for tracking the hand movements in applications related to rehabilitation and robotics. This project proposes the development of a modularized and scalable algorithm for classification of hand postures based on the FMG signals measured by an optical fiber sensor, with artificial neural networks design and implementation in embeeded system. |
| first_indexed | 2025-10-08T13:55:23Z |
| format | Online |
| id | ojs-article-1807 |
| institution | Universidade Estadual de Campinas |
| issn | 2596-1969 |
| language | por |
| last_indexed | 2025-10-08T13:55:23Z |
| publishDate | 2019 |
| publisher | Universidade Estadual de Campinas |
| record_format | ojs |
| spelling | ojs-article-18072025-09-26T14:39:16Z Development of algorithms for hand movements classification based on optical fiber force myography signals Silva, Willian da Fujiwara, Eric Gomes, Matheus Force myography Optical fiber sensor Artificial neural networks Force myography (FMG) is the mechanical counterpart of the surface electromyography, providing a low-cost and straightforward alternative for tracking the hand movements in applications related to rehabilitation and robotics. This project proposes the development of a modularized and scalable algorithm for classification of hand postures based on the FMG signals measured by an optical fiber sensor, with artificial neural networks design and implementation in embeeded system. Universidade Estadual de Campinas 2019-11-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artigo de convidado application/pdf https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/1807 10.20396/revpibic2720191807 Revista dos Trabalhos de Iniciação Científica da UNICAMP; n. 27 (2019): Congresso de Iniciação Científica UNICAMP; 1-1 2596-1969 por https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/1807/1866 Copyright (c) 2019 Revista dos Trabalhos de Iniciação Científica da UNICAMP http://creativecommons.org/licenses/by/4.0 |
| spellingShingle | Silva, Willian da Fujiwara, Eric Gomes, Matheus Force myography Optical fiber sensor Artificial neural networks Development of algorithms for hand movements classification based on optical fiber force myography signals |
| title | Development of algorithms for hand movements classification based on optical fiber force myography signals |
| title_full | Development of algorithms for hand movements classification based on optical fiber force myography signals |
| title_fullStr | Development of algorithms for hand movements classification based on optical fiber force myography signals |
| title_full_unstemmed | Development of algorithms for hand movements classification based on optical fiber force myography signals |
| title_short | Development of algorithms for hand movements classification based on optical fiber force myography signals |
| title_sort | development of algorithms for hand movements classification based on optical fiber force myography signals |
| topic | Force myography Optical fiber sensor Artificial neural networks |
| url | https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/1807 |
| work_keys_str_mv | AT silvawillianda developmentofalgorithmsforhandmovementsclassificationbasedonopticalfiberforcemyographysignals AT fujiwaraeric developmentofalgorithmsforhandmovementsclassificationbasedonopticalfiberforcemyographysignals AT gomesmatheus developmentofalgorithmsforhandmovementsclassificationbasedonopticalfiberforcemyographysignals |
