A Survey of Brain Computer Interface Using Non-Invasive Methods

TL;DR

This survey reviews non-invasive brain-computer interface technologies, discussing their advantages, disadvantages, and diverse applications like assistive devices, monitoring, and entertainment, highlighting recent developments and use cases.

Contribution

It provides a comprehensive overview of non-invasive BCI methods, comparing technologies and exploring their practical applications and challenges.

Findings

EEG, fMRI, NIRs, and hybrid systems are key non-invasive BCI technologies.

Non-invasive BCI applications span assistive devices, monitoring, and entertainment.

Advantages and disadvantages vary across different non-invasive methods.

Abstract

Research on Brain-Computer Interface (BCI) began in the 1970s and has increased in volume and diversified significantly since then. Today BCI is widely used for applications like assistive devices for physically challenged users, mental state monitoring, input devices for hands-free applications, marketing, education, security, games and entertainment. This article explores the advantages and disadvantages of invasive and non-invasive BCI technologies and focuses on use cases of several non-invasive technologies, namely electroencephalogram (EEG), functional Magnetic Resonance Imaging (fMRI), Near Infrared Spectroscopy (NIRs) and hybrid systems.