@inproceedings{c40140dfc2924c58aff841726dc8a3d8,
title = "A brain signals-based interface between drivers and in-vehicle devices",
abstract = "In this paper, we propose a novel interface between drivers and in-vehicle devices by using steady-state visual evoked potential (SSVEP) of brain signals. The SSVEP is detected by a canonical correlation analysis (CCA) classifier and applied to turn on and turn off in-vehicle devices. The proposed interface is built and tested online in a driving simulator by requiring drivers to use the interface to interact with the in-vehicle device while performing the primary driving tasks including lane keeping and obstacle avoidance. The pilot experimental results show the feasibility of the proposed interface.",
keywords = "Brain signals, SSVEP, driver-vehicle interface, human-machine interaction",
author = "He Tenghuan and Bi Luzheng and Lian Jinling and Sun Huafei",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Intelligent Vehicles Symposium, IV 2016 ; Conference date: 19-06-2016 Through 22-06-2016",
year = "2016",
month = aug,
day = "5",
doi = "10.1109/IVS.2016.7535563",
language = "English",
series = "IEEE Intelligent Vehicles Symposium, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1333--1337",
booktitle = "2016 IEEE Intelligent Vehicles Symposium, IV 2016",
address = "United States",
}