DocumentCode :
3161255
Title :
A multi-channel SSVEP-based BCI for computer games with analogue control
Author :
Chi Man Wong ; Qi Tang ; Nuno da Cruz, Janir ; Feng Wan
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Macau, Macau, China
fYear :
2015
fDate :
12-14 June 2015
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, a steady-state visual evoked potential (SSVEP)-based brain computer interface (BCI) system using multiple channel electroencephalography (EEG) signals is designed for computer games that require analogue or continuous control. To this end, a novel scheme combining two SSVEP´s features is proposed to control the simulated cart in a relatively continuous and accurate way. More specifically, the phase locking index (PLI) feature is sequentially combined with the standard canonical correlation analysis (CCA)-based frequency detection method, which allows the use of multiple channel EEG signals in this design. To evaluate the proposed design, twenty subjects were invited to play this game three times. The overall results demonstrated that the subjects could control the simulated cart in a relatively continuous way to the expected locations in the game.
Keywords :
brain-computer interfaces; computer games; electroencephalography; graphical user interfaces; medical signal detection; visual evoked potentials; CCA-based frequency detection method; PLI feature; analogue control; brain computer interface; computer games; continuous control; multichannel SSVEP-based BCI; multiple channel EEG signals; multiple channel electroencephalography signals; phase locking index feature; simulated cart control game; standard canonical correlation analysis; steady-state visual evoked potential; Computers; Correlation; Electroencephalography; Feature extraction; Games; Graphical user interfaces; Visualization; BCI; CCA; PLI; SSVEP; analogue control; computer games;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2015 IEEE International Conference on
Conference_Location :
Shenzhen
Type :
conf
DOI :
10.1109/CIVEMSA.2015.7158612
Filename :
7158612
Link To Document :
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