DocumentCode :
2396811
Title :
An independent brain-computer interface based on covert shifts of non-spatial visual attention
Author :
Zhang, Dan ; Gao, Xiaorong ; Gao, Shangkai ; Engel, Andreas K. ; Maye, Alexander
Author_Institution :
Dept. of Biomed. Eng., Tsinghua Univ., Beijing, China
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
539
Lastpage :
542
Abstract :
Modulation of steady-state visual evoked potential (SSVEP) by directing gaze to targets flickering at different frequencies has been utilized in many brain-computer interface (BCI) studies. However, this paradigm may not work with patients suffering from complete locked-in syndrome or other severe motor disabilities that do not allow conscious control of gaze direction. In this paper, we present a novel, independent BCI paradigm based on covert shift of non-spatial visual selective attention. Subjects viewed a display consisting of two spatially overlapping sets of randomly positioned dots. The two dot sets differed in color, motion and flickering frequency. Two types of motion, rotation and linear motion, were investigated. Both, the SSVEP amplitude and phase response were modulated by selectively attending to one of the two dot sets. Offline analysis revealed a predicted online classification accuracy of 69.3plusmn10.2% for the rotating dots, and 80.7plusmn10.4% for the linearly moving dots.
Keywords :
brain-computer interfaces; handicapped aids; neurophysiology; visual evoked potentials; visual perception; BCI; brain activity; brain-computer interface; nonspatial visual selective attention; offline analysis; online classification; phase response; randomly positioned dots; steady-state visual evoked potential; Adult; Attention; Brain Mapping; Evoked Potentials, Visual; Female; Humans; Male; Motion Perception; Perceptual Masking; User-Computer Interface; Visual Cortex;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1557-170X
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2009.5333740
Filename :
5333740
Link To Document :
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