Brain-computer interface for controlling cursor movements – a review

Abstract

Brain-Computer Interface (BCI) is a rapidly evolving technology that builds a direct channel between the human brain and the computer. It acquires brain signals, analyzes them and translates these analyzed brain signals into commands which can carry out a specific action in an external output device. Therefore BCI is a different approach which makes the communication between the external world and brain without using the normal output pathway which is composed of neurons and muscles. Electroencephalography (EEG) is the widely used brain signal due to its fine temporal resolution and low cost. The acquired EEG signals are pre-processed to extract the features before classifying them. Finally, the classified EEGs are converted to commands which can be used to carry out a specific action in the external world such as controlling the cursor movements. This paper reviews the literature related to BCI and presents how BCI has contributed to alleviate the challenges in cursor movements controlling.