Self-paced EEG-based Brain-controlled car in Real-World Enviroment

DOI

10.2991/icmmita-15.2015.258How to use a DOI?

Keywords

Brain-computer interface; Electroencephalogram (EEG); Motor imagery; Asynchronous protocol; Brain-actuated car.

Abstract

This study presented the design and online experiments of a self-paced EEG-based BCI for controlling a car in real world environment. This paradigm using two distinct MI tasks to generate a multi-task car control strategy, including start, move forwards, turn left, turn right, move backwards, and stop. The experiment results suggested that a brain-actuated car is possible when it runs in low velocity, approximately 5km/hour in our study. This proposed self-paced EEG-based BCI paradigm could potentially help disabled and paralyzed people to gain more mobility in the future, and moreover, provide a supplementary car driving strategy to healthy people.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yang Yu
AU  - Zongtan Zhou
AU  - Jun Jiang
AU  - Yadong Liu
AU  - Dewen Hu
PY  - 2015/11
DA  - 2015/11
TI  - Self-paced EEG-based Brain-controlled car in Real-World Enviroment
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 1395
EP  - 1398
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.258
DO  - 10.2991/icmmita-15.2015.258
ID  - Yu2015/11
ER  -