DocumentCode
140187
Title
Brain-computer interface using P300 and virtual reality: A gaming approach for treating ADHD
Author
Rohani, Darius Adam ; Sorensen, Helge Bjarup Dissing ; Puthusserypady, Sadasivan
Author_Institution
Dept. of Electr. Eng., Tech. Univ. of Denmark, Lyngby, Denmark
fYear
2014
fDate
26-30 Aug. 2014
Firstpage
3606
Lastpage
3609
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.
Keywords
bioelectric potentials; brain-computer interfaces; computer games; electroencephalography; medical disorders; medical signal processing; paediatrics; patient treatment; support vector machines; virtual reality; ADHD treatment; BCI system; EEG; P300 potential; P300 responses detection; SVM; VR classroom; attention-deficit/hyperactive disorder; brain-computer interface system; children rehabilitation; electrodes; electroencephalography; feedback games; gaming approach; immersive 3D virtual reality classroom; low-cost infrared camera; nonintrusive VR setting; off-axis perspective projection algorithm; subjects attention; support vector machine; template-based features; temporal features; Animals; Electrodes; Electroencephalography; Feature extraction; Games; Training; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location
Chicago, IL
ISSN
1557-170X
Type
conf
DOI
10.1109/EMBC.2014.6944403
Filename
6944403
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