Brain Signals to Actions Using Machine Learning

Brain Signals to Actions Using Machine Learning

This research presents a machine learning model that predicts left, right, or no action using electroencephalography (EEG) signals extracted from two different wearable EEG headsets. The research aims to develop an accurate and efficient model by following a rigorous and effective process divided in...

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Bibliographic Details
Main Authors: Dimitris Angelakis, Errikos Ventouras, Pantelis Asvestas
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Engineering Proceedings
Subjects:
brain–computer interfaces (BCI)
constant features approach
feature extraction
long short-term memory (LSTM)
support vector machine (SVM)
Online Access:https://www.mdpi.com/2673-4591/50/1/7

Internet

https://www.mdpi.com/2673-4591/50/1/7

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