Self-paced EEG-based Brain-controlled car in Real-World Enviroment
- https://doi.org/10.2991/icmmita-15.2015.258How to use a DOI?
- Brain-computer interface; Electroencephalogram (EEG); Motor imagery; Asynchronous protocol; Brain-actuated car.
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/icmmita-15.2015.258 ID - Yu2015/11 ER -