DocumentCode :
636054
Title :
Navigation in a virtual environment using multiclass motor imagery Brain-Computer Interface
Author :
Zheng Yang Chin ; Kai Keng Ang ; Chuanchu Wang ; Cuntai Guan
Author_Institution :
Inst. for Infocomm Res., Agency for Sci. Technol. & Res., Singapore, Singapore
fYear :
2013
fDate :
16-19 April 2013
Firstpage :
152
Lastpage :
157
Abstract :
Virtual Reality is a useful platform for Brain-Computer Interface (BCI) users as it offers a relatively safe and cost-effective way for BCI users to train and familiarize themselves with using BCI in a virtual environment before using it in a real-world scenario. Hence this paper presents a pilot study of a virtual navigation task, where control signals from a synchronous multi-class motor imagery-based BCI (MI-BCI) is used by the subject to perform a navigation task in a 3D virtual environment, from a first-person perspective displayed on the computer screen. Preliminary results on one healthy subject showed that the MI-BCI was able to distinguish between 4 classes of motor imagery with an accuracy of about 67.5%, and the subject was able to navigate through the virtual environment in 87 trials in contrast to a theoretical minimum of 74 trials. Results from this study provide motivation to further investigate the potential of the MI-BCI in a larger-scale study, with the possibility of future clinical applications such as a training tool for users in BCI-based rehabilitation and other assistive technologies such as neural prosthetics or brain-controlled wheelchairs.
Keywords :
brain-computer interfaces; virtual reality; 3D virtual environment; MI-BCI; brain-computer interface; clinical applications; computer screen; control signals; first-person perspective; synchronous multiclass motor imagery-based BCI; virtual navigation task; virtual reality; Electroencephalography; Foot; Navigation; Synchronous motors; Three-dimensional displays; Virtual environments; Visualization; Feedback; Filter Bank Common Spatial Pattern; Motor Imagery; Virtual Navigation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), 2013 IEEE Symposium on
Conference_Location :
Singapore
Type :
conf
DOI :
10.1109/CCMB.2013.6609179
Filename :
6609179
Link To Document :
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