Name
Abstract | ||
|---|---|---|
Many people with disabilities do not have the dexterity necessary to control a joystick on an electric wheelchair. Moreover,
they have difficulty to avoid obstacles. The aim of this work is to implement a multi-modal system to control the movement
of an Electric wheelchair using small vocabulary word recognition system and a set of sensors to detect and avoid obstacles.
The methodology adopted is based on grouping a microcontroller with a speech recognition development kit for isolated word
from a dependent speaker and a set of sensors. In order to gain in time design, tests have shown that it would be better to
choose a speech recognition kit and to adapt it to the application. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.3103/S0146411607010063 | Automatic Control and Computer Sciences |
Keywords | DocType | Volume |
speech recognition,word recognition | Journal | 41 |
Issue | ISSN | ISBN |
1 | 0146-4116 | 1-4244-0020-1 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohamed Fezari | 1 | 2 | 4.76 |
| Mounir Bousbia-Salah | 2 | 28 | 3.77 |
| Mouldi Bedda | 3 | 0 | 0.34 |