An adaptive BCI system for virtual navigation

Author

Yang, Fan ; Chen, Weidong ; Wu, Bian ; Qi, Yu ; Luo, Jianxun ; Su, Yu ; Dai, Jianhua ; Zheng, Xiaoxiang

Author_Institution

Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou 310027, China

fYear

2010

fDate

4-6 Dec. 2010

Firstpage

64

Lastpage

68

Abstract

A brain computer interface (BCI) builds an additional pathway between the brain and external devices. This paper introduces a BCI system combined with virtual reality (VR) technology that allows users to navigate in the virtual apartment by motor imagery. Since performance in online sessions is sometimes found to decrease due to non-stationarity of electroencephalogram (EEG) signals, we proposed a method based on adaptive probabilistic neural network (APNN) to overcome this phenomenon. Online experiments were carried out using the BCI system and offline analysis was conducted to make a comparison among different methods. Online results demonstrated that most subjects were able to perform well on the system, and offline analysis showed that the APNN was comparatively predominant.

Keywords

Accuracy; Classification algorithms; Electroencephalography; Navigation; Probabilistic logic; Support vector machine classification; Training; Brain computer interface; adaptive; linear discriminate analysis; motor imagery; probabilistic neural network; virtual reality;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Engineering (ICISE), 2010 2nd International Conference on

Conference_Location

Hangzhou, China

Print_ISBN

978-1-4244-7616-9

Type

conf

DOI

10.1109/ICISE.2010.5688650

Filename

5688650