A BRIEF INTRODUCTION TO THE BRAIN-COMPUTER INTERFACES
A brain-computer interface (BCI) is a hardware and software system that allows brain activity alone to control computers or external devices. In this short talk, I will review the state-of-the-art of BCIs, looking at the different steps that form a brain-computer interface: signal acquisition, preprocessing or enhancement, feature extraction and classification and the control interface. We will discuss different BCI types their advantages, drawbacks, and latest advances, and we survey the numerous technologies reported so far (including commercially available devices).
At the first part, I will introduce basics of the Brain functioning and will review the neuroimaging modalities used in the signal acquisition, each of which monitors a different functional brain activity such as electrical, magnetic or metabolic activity. Then, we will discuss different electrophysiological control signals that determine user intentions, which can be detected in brain activity. Finally, we will overview various BCI applications that control a range of devices and discuss neurofeedback technology for medical, learning and gaming applications.