Machine learning techniques for electroencephalogram based brain-computer interface: A systematic literature review
Brain-computer interface systems with Electroencephalogram (EEG), especially those use motor-imagery (MI) signals, have demonstrated the ability to control electromechanical devices with promising results. EEG being easy to record and non-invasive makes it a good choice for BCI systems. MI-based BCI...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-08-01
|
Series: | Measurement: Sensors |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2665917423001599 |