Trends in Machine Learning and Electroencephalogram (EEG): A Review for Undergraduate Researchers

Trends in Machine Learning and Electroencephalogram (EEG): A Review for Undergraduate Researchers

This paper presents a systematic literature review on Brain-Computer Interfaces (BCIs) in the context of Machine Learning. Our focus is on Electroencephalography (EEG) research, highlighting the latest trends as of 2023. The objective is to provide undergraduate researchers with an accessible overvi...

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Veröffentlicht in:arXiv.org 2023-07
Hauptverfasser: Murungi, Nathan Koome, Pham, Michael Vinh, Dai, Xufeng, Qu, Xiaodong
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Electroencephalography
Human-computer interface
Literature reviews
Machine learning
Trends
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Beschreibung
Zusammenfassung:This paper presents a systematic literature review on Brain-Computer Interfaces (BCIs) in the context of Machine Learning. Our focus is on Electroencephalography (EEG) research, highlighting the latest trends as of 2023. The objective is to provide undergraduate researchers with an accessible overview of the BCI field, covering tasks, algorithms, and datasets. By synthesizing recent findings, our aim is to offer a fundamental understanding of BCI research, identifying promising avenues for future investigations.
ISSN:2331-8422