@inproceedings{41cd7ba1c5314ba68f7be01ff0014fdd,
title = "Queuing network modeling of brain-controlled vehicles",
abstract = "In this paper, we develop a model of braincontrolled vehicles. This model includes an extended driver model based on the Queuing-network cognitive architecture, a brain-computer interface (BCI) model representing the performance of the BCI system that can issue three classes of direction control commands, an interface model converting the actual steering command from the BCI system to the steering angle, and vehicle model. Pilot experimental results in a driving simulator show that the performance of the proposed model is close to that of real drivers by using the BCI to control a vehicle when the driver has a relatively high accuracy of BCI system. The proposed model can not only help understand the behavior of brain-controlled vehicles, but also help design brain-controlled vehicles.",
keywords = "BCI, Modeling, Queuing Network, brain-controlled vehicles",
author = "Mingtao Wang and Luzheng Bi and Yun Lu",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics ; Conference date: 08-08-2015 Through 10-08-2015",
year = "2015",
month = sep,
day = "28",
doi = "10.1109/ICInfA.2015.7279399",
language = "English",
series = "2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "826--830",
booktitle = "2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics",
address = "United States",
}
