Paper Info
Title
Brain-computer interface using P300 and virtual reality: a gaming approach for treating ADHD.
Abstract
This paper presents a novel brain-computer interface (BCI) system aiming at the rehabilitation of attention-deficit/hyperactive disorder in children. It uses the P300 potential in a series of feedback games to improve the subjects' attention. We applied a support vector machine (SVM) using temporal and template-based features to detect these P300 responses. In an experimental setup using five subjects, an average error below 30% was achieved. To make it more challenging the BCI system has been embedded inside an immersive 3D virtual reality (VR) classroom with simulated distractions, which was created by combining a low-cost infrared camera and an "off-axis perspective projection" algorithm. This system is intended for kids by operating with four electrodes, as well as a non-intrusive VR setting. With the promising results, and considering the simplicity of the scheme, we hope to encourage future studies to adapt the techniques presented in this study.
Year
DOI
Venue
2014
10.1109/EMBC.2014.6944403
EMBC
Keywords
DocType
Volume
p300 responses detection,temporal features,paediatrics,medical disorders,bioelectric potentials,virtual reality,feedback games,low-cost infrared camera,electroencephalography,brain-computer interfaces,medical signal processing,adhd treatment,bci system,p300 potential,nonintrusive vr setting,children rehabilitation,svm,electrodes,support vector machine,attention-deficit/hyperactive disorder,gaming approach,vr classroom,immersive 3d virtual reality classroom,brain-computer interface system,template-based features,off-axis perspective projection algorithm,eeg,support vector machines,patient treatment,computer games,subjects attention
Conference
2014
ISSN
Citations 
PageRank 
1557-170X
6
0.60
References 
Authors
1
3
Name
Order
Citations
PageRank
Darius Adam Rohani161.62
Helge B D Sorensen2134.99
P. K. Sadasivan332026.18