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
Citation: 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

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