Murali Krishnan, and Muralindran Mariappan, (2015) EEG-based brain-machine interface (BMI) for controlling mobile robots: the trend of prior studies. International Journal of Computer Science and Electronics Engineering (IJCSEE), 3 (2). pp. 159-165. ISSN 2320–4028
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Official URL: http://www.isaet.org/images/extraimages/P515033.pd...
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.
|Uncontrolled Keywords:||Brain-controlled mobile robot, Brain-Machine Interface (BMI), Brain-Computer Interface (BCI), Human-Machine integration control, electroencephalogram (EEG)|
|Subjects:||T Technology > TJ Mechanical engineering and machinery|
|Divisions:||FACULTY > Faculty of Engineering|
|Deposited By:||IR Admin|
|Deposited On:||16 Dec 2016 10:06|
|Last Modified:||16 Dec 2016 10:06|
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