EEG-Based Mobile Robot Control Using Deep Learning and ROS Integration

EEG-Based Mobile Robot Control Using Deep Learning and ROS Integration

Efficient BCIs (Brain-Computer Interfaces) harnessing EEG (Electroencephalography) have shown potential in controlling mobile robots, also presenting new possibilities for assistive technologies. This study explores the integration of advanced deep learning models—ASTGCN, EEGNetv4, and a combined CN...

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Bibliographic Details
Main Authors: Bianca Ghinoiu, Victor Vlădăreanu, Ana-Maria Travediu, Luige Vlădăreanu, Abigail Pop, Yongfei Feng, Andreea Zamfirescu
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Technologies
Subjects:
BCI (Brain-Computer Interface)
EEG (Electroencephalogram)
MI (Motor Imagery)
CNN (Convolutional Neural Network)
LSTM (Long Short-Term Memory) networks
mobile robot
Online Access:https://www.mdpi.com/2227-7080/12/12/261
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