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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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
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author Leonardo Bonato Felix
Alexandre Santos Brandao
Daniel Cruz Cavalieri
Antonio Mauricio Ferreira Leite Miranda de Sa
Teodiano Freire Bastos-Filho
Mario Sarcinelli-Filho
author_facet Leonardo Bonato Felix
Alexandre Santos Brandao
Daniel Cruz Cavalieri
Antonio Mauricio Ferreira Leite Miranda de Sa
Teodiano Freire Bastos-Filho
Mario Sarcinelli-Filho
author_sort Leonardo Bonato Felix
collection DOAJ
description 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.
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spelling doaj.art-9b54e139e12242f382481b1a7a57c4782022-12-21T18:48:45ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88061729-88142011-08-01832233Controlling Devices Using Biological SignalsLeonardo Bonato FelixAlexandre Santos BrandaoDaniel Cruz CavalieriAntonio Mauricio Ferreira Leite Miranda de SaTeodiano Freire Bastos-FilhoMario Sarcinelli-FilhoKnowing 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.http://www.intechopen.com/articles/show/title/controlling_devices_using_biological_signalsImpairment peopleRobotic WheelchairSemi-autonomous Navigation
spellingShingle Leonardo Bonato Felix
Alexandre Santos Brandao
Daniel Cruz Cavalieri
Antonio Mauricio Ferreira Leite Miranda de Sa
Teodiano Freire Bastos-Filho
Mario Sarcinelli-Filho
Controlling Devices Using Biological Signals
International Journal of Advanced Robotic Systems
Impairment people
Robotic Wheelchair
Semi-autonomous Navigation
title Controlling Devices Using Biological Signals
title_full Controlling Devices Using Biological Signals
title_fullStr Controlling Devices Using Biological Signals
title_full_unstemmed Controlling Devices Using Biological Signals
title_short Controlling Devices Using Biological Signals
title_sort controlling devices using biological signals
topic Impairment people
Robotic Wheelchair
Semi-autonomous Navigation
url http://www.intechopen.com/articles/show/title/controlling_devices_using_biological_signals
work_keys_str_mv AT leonardobonatofelix controllingdevicesusingbiologicalsignals
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AT danielcruzcavalieri controllingdevicesusingbiologicalsignals
AT antoniomauricioferreiraleitemirandadesa controllingdevicesusingbiologicalsignals
AT teodianofreirebastosfilho controllingdevicesusingbiologicalsignals
AT mariosarcinellifilho controllingdevicesusingbiologicalsignals