A Brain Controlled Wheelchair to Navigate in Familiar Environments

被引：281

作者：

Rebsamen, Brice ^{[1
]}

Guan, Cuntai ^{[2
]}

Zhang, Haihong ^{[2
]}

Wang, Chuanchu ^{[2
]}

Teo, Cheeleong ^{[1
]}

Ang, Marcelo H., Jr. ^{[1
]}

Burdet, Etienne ^{[3
]}

机构：

[1] Natl Univ Singapore, Dept Mech Engn, Singapore 119260, Singapore

[2] ASTAR, Inst Infocomm Res, Singapore 138632, Singapore

[3] Univ London Imperial Coll Sci Technol & Med, Dept Bioengn, London SW7 2AZ, England

来源：

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING | 2010年 / 18卷 / 06期

关键词：

Brain-computer interface (BCI); P300; wheelchair; BCI COMPETITION 2003; DATA SET IIB; COMPUTER INTERFACE; COLLABORATIVE WHEELCHAIR; COMMUNICATION; DESIGN; PEOPLE;

D O I：

10.1109/TNSRE.2010.2049862

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

While brain-computer interfaces (BCIs) can provide communication to people who are locked-in, they suffer from a very low information transfer rate. Further, using a BCI requires a concentration effort and using it continuously can be tiring. The brain controlled wheelchair (BCW) described in this paper aims at providing mobility to BCI users despite these limitations, in a safe and efficient way. Using a slow but reliable P300 based BCI, the user selects a destination amongst a list of predefined locations. While the wheelchair moves on virtual guiding paths ensuring smooth, safe, and predictable trajectories, the user can stop the wheelchair by using a faster BCI. Experiments with nondisabled subjects demonstrated the efficiency of this strategy. Brain control was not affected when the wheelchair was in motion, and the BCW enabled the users to move to various locations in less time and with significantly less control effort than other control strategies proposed in the literature.

引用

页码：590 / 598

页数：9

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