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Review

A Review of the Role of Machine Learning Techniques towards Brain–Computer Interface Applications

Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 23443, Saudi Arabia
Academic Editor: Andreas Holzinger
Mach. Learn. Knowl. Extr. 2021, 3(4), 835-862; https://doi.org/10.3390/make3040042
Received: 10 August 2021 / Revised: 16 September 2021 / Accepted: 18 September 2021 / Published: 26 October 2021
This review article provides a deep insight into the Brain–Computer Interface (BCI) and the application of Machine Learning (ML) technology in BCIs. It investigates the various types of research undertaken in this realm and discusses the role played by ML in performing different BCI tasks. It also reviews the ML methods used for mental state detection, mental task categorization, emotion classification, electroencephalogram (EEG) signal classification, event-related potential (ERP) signal classification, motor imagery categorization, and limb movement classification. This work explores the various methods employed in BCI mechanisms for feature extraction, selection, and classification and provides a comparative study of reviewed methods. This paper assists the readers to gain information regarding the developments made in BCI and ML domains and future improvements needed for improving and designing better BCI applications. View Full-Text
Keywords: brain–computer interface; BCI; EEG signals; emotion state; ERP signals; ML; mental state; motor imagery brain–computer interface; BCI; EEG signals; emotion state; ERP signals; ML; mental state; motor imagery
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MDPI and ACS Style

Rasheed, S. A Review of the Role of Machine Learning Techniques towards Brain–Computer Interface Applications. Mach. Learn. Knowl. Extr. 2021, 3, 835-862. https://doi.org/10.3390/make3040042

AMA Style

Rasheed S. A Review of the Role of Machine Learning Techniques towards Brain–Computer Interface Applications. Machine Learning and Knowledge Extraction. 2021; 3(4):835-862. https://doi.org/10.3390/make3040042

Chicago/Turabian Style

Rasheed, Saim. 2021. "A Review of the Role of Machine Learning Techniques towards Brain–Computer Interface Applications" Machine Learning and Knowledge Extraction 3, no. 4: 835-862. https://doi.org/10.3390/make3040042

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