Paper Info
Title
A Brief Review of Signal Processing for EEG-based BCI: Approaches and Opportunities
Abstract
In every society, people with disabilities need to communicate with others. However, their economic and educational status are predominantly limited by the unavailability of tools and technologies to satisfy their special needs. There is a necessity for technological solutions to constantly increase to overcome their difficulties with everyday activities. Recent days, Brain-computer Interface (BCI) has drawn attention of many researchers as a hands-free tool which can help motion impaired people to control devices, express their opinions and ideas, and communicate with others. The real-time control of sensors and actuators can be implemented using BCI at the expense of high computational resources. In fact, the evolution of brain technology has offered limitless opportunities and possibilities for impaired as well as healthy members to contribute and participate in the society. With the help of human brain signals or an electroencephalogram (EEG), brain activity in the neocortex is measured as voltage differences over the scalp. Information on subjects' intentions and thoughts is encompassed by EEG electrical patterns, which is decoded as important signatures of brain activity. The status quo BCI technology and associated signal processing schemes are advancing fast. It will also improve control of devices in space, people's lives in e-home, or communication in novel ways. This manuscript presents the EEG signal processing and classification techniques to design BCI system as a control or communication device.
Year
DOI
Venue
2021
10.1109/EIT51626.2021.9491924
2021 IEEE International Conference on Electro Information Technology (EIT)
Keywords
DocType
ISSN
EEG-based BCI,economic status,educational status,technological solutions,Brain-computer Interface,hands-free tool,help motion impaired people,real-time control,sensors,actuators,high computational resources,brain technology,limitless opportunities,impaired as well as healthy members,human brain signals,brain activity,associated signal processing schemes,BCI system
Conference
2154-0357
ISBN
Citations 
PageRank 
978-1-6654-4822-2
0
0.34
References 
Authors
0
1
Name
Order
Citations
PageRank
Haider Ali18415.04