DocumentCode :
749754
Title :
Controlling a Wheelchair Indoors Using Thought
Author :
Rebsamen, Brice ; Teo, Chee Leong ; Zeng, Qiang ; Ang, Marcelo H., Jr. ; Burdet, Etienne ; Guan, Cuntai ; Zhang, Haihong ; Laugier, Christian
Author_Institution :
Dept. of Mech. Eng., Nat. Univ. of Singapore
Volume :
22
Issue :
2
fYear :
2007
Firstpage :
18
Lastpage :
24
Abstract :
Amyotrophic lateral sclerosis, or ALS, is a degenerative disease of the motor neurons that eventually leads to complete paralysis. We are developing a wheelchair system that can help ALS patients, and others who can´t use physical interfaces such as joysticks or gaze tracking, regain some autonomy. The system must be usable in hospitals and homes with minimal infrastructure modification. It must be safe and relatively low cost and must provide optimal interaction between the user and the wheelchair within the constraints of the brain-computer interface. To this end, we have built the first working prototype of a brain-controlled wheelchair that can navigate inside a typical office or hospital environment. This article describes the BCW, our control strategy, and the system´s performance in a typical building environment. This brain-controlled wheelchair prototype uses a P300 EEG signal and a motion guidance strategy to navigate in a building safely and efficiently without complex sensors or sensor processing
Keywords :
diseases; electroencephalography; handicapped aids; medical signal processing; EEG signal; amyotrophic lateral sclerosis; brain-computer interface; brain-controlled wheelchair; disease; motion guidance strategy; paralysis; sensor processing; Brain computer interfaces; Control systems; Cost function; Degenerative diseases; Hospitals; Navigation; Neurons; Prototypes; System performance; Wheelchairs; brain-machine interface; wheelchair;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/MIS.2007.26
Filename :
4136854
Link To Document :
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