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...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Online |
| Language: | Portuguese |
| Published: |
Universidade Estadual de Campinas
2019
|
| Subjects: | |
| Online Access: | https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/1807 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|---|
| ISSN: | 2596-1969 |
