Please use this identifier to cite or link to this item:
https://doi.org/10.1109/MIS.2007.26
DC Field | Value | |
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dc.title | Controlling a wheelchair indoors using thought | |
dc.contributor.author | Rebsamen, B. | |
dc.contributor.author | Teo, C.L. | |
dc.contributor.author | Zeng, Q. | |
dc.contributor.author | Ang Jr., M.H. | |
dc.contributor.author | Burdet, E. | |
dc.contributor.author | Guan, C. | |
dc.contributor.author | Zhang, H. | |
dc.contributor.author | Laugier, C. | |
dc.date.accessioned | 2014-06-18T06:10:36Z | |
dc.date.available | 2014-06-18T06:10:36Z | |
dc.date.issued | 2007-03 | |
dc.identifier.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 | |
dc.identifier.issn | 15411672 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/68182 | |
dc.description.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. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/MIS.2007.26 | |
dc.source | Scopus | |
dc.type | Review | |
dc.contributor.department | MECHANICAL ENGINEERING | |
dc.description.doi | 10.1109/MIS.2007.26 | |
dc.description.sourcetitle | IEEE Intelligent Systems | |
dc.description.volume | 22 | |
dc.description.issue | 2 | |
dc.description.page | 18-24 | |
dc.identifier.isiut | 000245314500008 | |
Appears in Collections: | Staff Publications |
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