Controlling Devices Using Biological Signals

Knowing that the driving task of a conventional wheelchair could be difficult or even impossible for impairment people, this work presents an overview of some strategies developed to aid these people. Within this context, a myoelectrical eye-blink and an iris tracking system to guide a robotic wheel...

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Bibliographic Details
Main Authors: Leonardo Bonato Felix, Alexandre Santos Brandao, Daniel Cruz Cavalieri, Antonio Mauricio Ferreira Leite Miranda de Sa, Teodiano Freire Bastos-Filho, Mario Sarcinelli-Filho
Format: Article
Language:English
Published: SAGE Publishing 2011-08-01
Series:International Journal of Advanced Robotic Systems
Subjects:
Online Access:http://www.intechopen.com/articles/show/title/controlling_devices_using_biological_signals
Description
Summary:Knowing that the driving task of a conventional wheelchair could be difficult or even impossible for impairment people, this work presents an overview of some strategies developed to aid these people. Within this context, a myoelectrical eye-blink and an iris tracking system to guide a robotic wheelchair are briefly described. Futhermore, some comments about EEG-based systems are also presented. Finally, it is presented a robotic wheelchair navigation system capable to reach a desired pose in a planar environment while avoiding static and dynamic obstacles.
ISSN:1729-8806
1729-8814