Title :
Implementation of SSVEP based BCI with Emotiv EPOC
Author :
Liu, Yue ; Jiang, Xiao ; Cao, Teng ; Wan, Feng ; Mak, Peng Un ; Mak, Pui-In ; Vai, Mang I.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Macau, Macau, China
Abstract :
In recent years, steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) has received much attentions. However, most SSVEP based BCI devices are not portable and have high price, which are not suitable to be used for clinical and commercial purpose. Thanks to the low cost and portable Emotiv EPOC, it brings BCI into daily life. In this paper, SSVEP based BCI through Emotiv EPOC is implemented. BCI 2000 is employed to connect Emotiv EPOC and Matlab to implement the online system. The online experiments have the accuracy of 95.83±3.59 %, information transfer rate (ITR) with 22.85±1.85 bits/min and detection duration of 5.25±2.14 sec.
Keywords :
brain-computer interfaces; electroencephalography; mathematics computing; medical signal processing; BCI 2000; EEG signals; Emotiv EPOC; ITR; Matlab; SSVEP based BCI device; SSVEP signals; brain-computer interface; information transfer rate; steady-state visual evoked potential based brain-computer interface; Accuracy; Brain computer interfaces; Correlation; Electroencephalography; MATLAB; Monitoring; Visualization; Emotiv EPOC; brain-computer interfaces (BCI); canonical correlation cnalysis (CCA); steady-state visual evoked potential (SSVEP);
Conference_Titel :
Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS), 2012 IEEE International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4577-1758-1
DOI :
10.1109/VECIMS.2012.6273184
