Abstract—Brain-computer interface (BCI) allows users to control many external devices through brain signals. These signals can be recorded by brainwave controlled applications, such as EMotiv Epoc +14, however the reliable translation of users brains’ information is still a big challenge. It requires the effective interaction between the information produced by user’s brain activity and the BCI system, which translates that activity into the digital signals and an appropriate algorithm to translate the brain signals to commands. Brain signal analysis and techniques are widely explored in order to improve the adaptation of the BCI system to the user. This article is focused on the analysis and processing of the received brain signals. Data are obtained within a research which explores the capabilities of Arduino robot management through brain signals from BCI.  

Index Terms—sensors, brain-computer interface, processing two signals, big data, data processing, emotive

Cite: Galina S. Panayotova and Georgi P. Dimitrov, "Analysis and Processing of Brain Signals," International Journal of Signal Processing Systems, Vol. 7, No. 3, pp. 92-95, September 2019. doi: 10.18178/ijsps.7.3.92-95