DocumentCode :
612468
Title :
A P300 brain-computer interface for controlling a mobile robot by issuing a motion command
Author :
Xin´an Fan ; Luzheng Bi ; Yun Li ; Ke Jie ; Hongsheng Ding
Author_Institution :
Sch. of Mech. Eng., Beijing Inst. of Technol., Beijing, China
fYear :
2013
fDate :
25-28 May 2013
Firstpage :
707
Lastpage :
710
Abstract :
In this paper, to develop a mobile robot by using a BCI to issue a motion command including turning left and right and going forward, we propose a new P300 Brain-computer interface (BCI). Three kinds of P300 visual stimuli were first designed. And then we developed the corresponding BCI systems based on the three stimuli and compared their performance by using a linear discriminant analysis classifier with the features selected from EEG potentials via principal component analysis. Experimental results from three participants suggest that the BCIs with the last two kinds of stimuli can select a desired command with over 80% accuracy in about four seconds of selection time, showing that using the proposed BCI to control a robot is feasible.
Keywords :
brain-computer interfaces; electroencephalography; feature extraction; mobile robots; motion control; pattern classification; principal component analysis; BCI systems; EEG potentials; P300 brain-computer interface; P300 visual stimuli; feature selection; linear discriminant analysis classifier; mobile robot control; motion command; principal component analysis; Accuracy; Brain-computer interfaces; Electroencephalography; Mobile robots; Visualization; Wheelchairs; BCI; Brain-controlled mobile robots; EEG; Motion control; P300;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Complex Medical Engineering (CME), 2013 ICME International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2970-5
Type :
conf
DOI :
10.1109/ICCME.2013.6548342
Filename :
6548342
Link To Document :
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