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 |
Show full item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.