Brain-Computer Interface

2Introduction: Brain–Computer Interface and Deep Learning

Muskan Jindal¹, Eshan Bajal¹* and Areeba Kazim²

¹Amity School of Engineering and Technology, Amity University, Noida, Uttar Pradesh, India

²Noida Institute of Engineering and Technology, Greater Noida, Uttar Pradesh, India

Abstract

Brain signals or radiations are a relatively new concept that works with information collected via human brain and cognitive activity. These signals like human brain are influenced by all the physical, geographical, emotional, and cognitive activities around it, are individualistic in nature, and follow numerous patterns. Complying with the same Brain–computer interface (BCI), is the area of science where these signals are contemplated to advance the human-computer interaction applications. This area of research ties the cord between human cognitive to computer’s processing and speed, aiming to create a unique field in biomedical sciences to introduce infinite applications like, neural rehabilitation, biometric authentication, educational programs, and entertainment applications. Although nascent, Brain–computer interface (BCI) has four major grades of processing steps – signal acquisition, signal pre-processing, feature extraction, and classification. This study firstly, thoroughly elaborates upon its various processing steps while exploring the origin, need, and current stage of development of Brain– computer interface (BCI) with respect to brain signals. Post complete understanding of basic ...