EEG-Based Brain-Machine Interface (BMI) for Controlling Mobile Robots: The Trend of Prior Studies

Recently, a novel method created on thought based brain signal and it has been technologically advanced rapidly. The Brain control system is a rapidly emerging multidisciplinary study area which has perceived remarkable achievement over the past few years. In this paper, we rev...

Full description

Saved in:
Bibliographic Details
Main Authors: Murali Krishnan, Muralindran Mariappan
Format: Article
Language:English
Published: Volume 3, Issue 2 2015
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/21642/1/EEG-Based%20Brain-Machine%20Interface%20%28BMI%29.pdf
https://eprints.ums.edu.my/id/eprint/21642/
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Recently, a novel method created on thought based brain signal and it has been technologically advanced rapidly. The Brain control system is a rapidly emerging multidisciplinary study area which has perceived remarkable achievement over the past few years. In this paper, we review the background, feature extraction and classification algorithms used to design the Electroencephalography (EEG) based Brain-Machine Interface (BMI) to control the mobile robots.