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International Journal of
Advanced Science and Research
ARCHIVES
VOL. 4, ISSUE 5 (2019)
A review on brain-computer interface controlled movements using machine learning
Authors
Kulsheet Kaur Virdi, Satish Pawar
Abstract
Brain computer Interface (BCI) is device that allows the employment of the brain’s neural activity to communicate with others or to regulate machines, robots, or artificial limbs without direct physical movements. Brain computer interface is an innovative and growing field of research which is used to generate control signals by analyzing the extracted brain signals. For such analysis of electroencephalography (EEG) signals the BCI can judge the mental state of any human being and generate respective control signals to react. For these applications there is need of such machine learning application which can be efficiently applied on these EEG signals. The aim of this research is review different research work in the field of brain computer interface related to body parts movements.
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Pages:30-36
How to cite this article:
Kulsheet Kaur Virdi, Satish Pawar "A review on brain-computer interface controlled movements using machine learning". International Journal of Advanced Science and Research, Vol 4, Issue 5, 2019, Pages 30-36
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