Controlling a wheelchair indoors using thought

被引:159
作者
Rebsamen, Brice
Burdet, Etienne
Guan, Cuntai
Zhang, Haihong, I
Teo, Chee Leong
Zeng, Qiang
Laugier, Christian
Ang, Marcelo H., Jr.
机构
[1] Natl Univ Singapore, Dept Mech Engn, Fac Engn, Singapore 117576, Singapore
[2] Univ London Imperial Coll Sci Technol & Med, Dept Bioengn, London SW7 2AZ, England
[3] Infocomm Res, Singapore 119613, Singapore
[4] INRIA Rhone Alpes, F-38334 Saint Ismier, France
关键词
D O I
10.1109/MIS.2007.26
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:18 / 24
页数:7
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