Certain Investigation on the Development and Recent Trends in Brain Computer Interface- A Review

Abstract

Brain computer interface (BCI) is a system that provides a communication link between the user and their external activities without the help of their peripheral muscles and nerves. This system's efficiency purely depends on the two controllers, who send their commands via EEG and the BCI, which converts the commands into the desired action. This research area is gaining massive attention in recent years by researchers due to its extravagant outputs for physically disabled people. Here this BCI system collects the brain signals or activity from the human brain using various signal collection methodologies and converts those raw signals into meaningful commands that control the external device without their physical help. This ultimate transformation is achieved by multiple transformation techniques through various phases. This paper aims to review the evolution of the BCI; the general framework from which the BCI is developed, the latest translational algorithms, feature selection strategies, artefact removal methods, and finally the paper is concluded by suggesting the readers the area of exploration in efficient BCI development.