Name
Abstract | ||
|---|---|---|
In this paper a fuzzy model for control of bionic hand in real-time is proposed. The control process involves interpretation and analysis of surface electromyography signal (sEMG) acquired from patients with amputees. The work considers the use of force sensing resistor to achieve better control of the artificial hand. The classical type-1 Mamdani fuzzy control model is considered for this application. The conducted experiments show comparable results with respect to applied assumptions that give the confidence to implement the proposed concept into real-time control process. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-45243-2_27 | COMPUTATIONAL COLLECTIVE INTELLIGENCE, ICCCI 2016, PT I |
Keywords | Field | DocType |
Fuzzy control, Mamdani model, Bionic limbs, Electromyography, Signal analysis | Bionics,Signal processing,Data mining,Fuzzy model,Computer science,Fuzzy logic,Electromyography,Control engineering,Resistor,Fuzzy control system | Conference |
Volume | ISSN | Citations |
9875 | 0302-9743 | 1 |
PageRank | References | Authors |
0.36 | 15 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Tabakov | 1 | 1 | 0.36 |
| Krzysztof Fonal | 2 | 2 | 0.72 |
| Raed A. Abd-Alhameed | 3 | 2 | 1.08 |
| Rami Qahwaji | 4 | 120 | 21.05 |