2012 · 131 citations · 8 references
EngineeringComputer EngineeringComputer ScienceBiomedical Signal ProcessingComputer VisionNeural EngineeringBrain-computer InterfacesElectroencephalogram Signal ProcessingElectroencephalographyEvoked PotentialsNeural InterfacesVisual Evoked PotentialsBrain-computer Interface Signal AcquisitionBrain-computer Interface Signal ProcessingOnline Controlled ExperimentsOnline ExperimentsPortable Brain-computer InterfacesSteady-state Visual Evoked Potential InterfacesVisual Evoked Potential Analysis
SSVEP‑based BCIs have attracted attention, but most devices are non‑portable and expensive, limiting clinical and commercial use; the low‑cost, portable Emotiv EPOC offers a practical alternative. The study implements an SSVEP‑based BCI using the Emotiv EPOC headset. BCI 2000 links the Emotiv EPOC to MATLAB to run the online system. Online experiments achieved 95.8 % accuracy, 22.9 bits/min ITR, and a 5.3‑second detection time.
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.
8