Please use this identifier to cite or link to this item: https://doi.org/10.1109/MIS.2007.26
Title: Controlling a wheelchair indoors using thought
Authors: Rebsamen, B. 
Teo, C.L. 
Zeng, Q.
Ang Jr., M.H. 
Burdet, E.
Guan, C.
Zhang, H.
Laugier, C.
Issue Date: Mar-2007
Source: Rebsamen, B., Teo, C.L., Zeng, Q., Ang Jr., M.H., Burdet, E., Guan, C., Zhang, H., Laugier, C. (2007-03). Controlling a wheelchair indoors using thought. IEEE Intelligent Systems 22 (2) : 18-24. ScholarBank@NUS Repository. https://doi.org/10.1109/MIS.2007.26
Abstract: Several researchers have developed a wheelchair prototype that uses an electroencephalography a P300 (EEG)-based brain-controlled interface (BCI) to help amytrophic lateral sclerosis (ALS) patients to move about in buildings. The P300 EEG BCI lets the user select a destination item on the menu, helping the wheelchair move to the corresponding target on a predefined path. The strategy requires minimum effort from the user, while the paths are software-defined without hard codes, enabling them to be modified according to changing situations. The EEG-based BCI is suitable for a wheelchair as it can deliver a continuous time signal, with portable hardware. A set of electrodes on a cap is fitted to an amplifying, filtering, and digitizing device, which transfers the signals to a computer for analysis, helping patients to move about in buildings.
Source Title: IEEE Intelligent Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/68182
ISSN: 15411672
DOI: 10.1109/MIS.2007.26
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

137
checked on Dec 6, 2017

WEB OF SCIENCETM
Citations

97
checked on Nov 22, 2017

Page view(s)

27
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.