A Head-Up Display-Based P300 Brain-Computer Interface for Destination Selection

In this paper, we propose a P300 brain-computer interface (BCI) with visual stimuli presented on a head-up display and we apply this BCI for selecting destinations of a simulated vehicle in a virtual scene. To improve the usability of the selection system, we analyze the effects of the number of ele...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on intelligent transportation systems 2013-12, Vol.14 (4), p.1996-2001
Main Authors: Bi, Luzheng, Fan, Xin-An, Luo, Nini, Jie, Ke, Li, Yun, Liu, Yili
Format: Article
Language:English
Subjects:
Brain-computer interfaces
Data models
Destination selection
Electroencephalography
head-up display (HUD)
human-vehicle interaction
intelligent driver assistant systems
P300 brain-computer interface (BCI)
Virtual reality
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, we propose a P300 brain-computer interface (BCI) with visual stimuli presented on a head-up display and we apply this BCI for selecting destinations of a simulated vehicle in a virtual scene. To improve the usability of the selection system, we analyze the effects of the number of electroencephalogram (EEG) rounds on system performance. Experimental results from eight participants show that the BCI-based model of destination selection can be built with EEG data from eight channels, and participants can use this BCI to select a desired destination with an accuracy value of 93.6% ± 1.6% (mean value with standard error) in about 12 s of selection time. This paper lays a foundation for developing vehicles that use a BCI to select a desired destination from a list of predefined destinations and then use an autonomous navigation system to reach the desired destination.
ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2013.2266135