Review of Drowsiness Detection Machine-Learning Methods Applicable for Non-Invasive Brain-Computer Interfaces

Marjan Gusev,Nevena Ackovska,Vladimir Zdraveski,Emil Stankov,Mile Jovanov, Martin Dinev,Dejan Spasov,Xiaoyan Gui, Yanlong Zhang,Li Geng,Xiaochuan Zhou

2021 29th Telecommunications Forum (TELFOR)（2021）

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摘要

This review focuses on the analysis of non-invasive Brain-Computer Interface methods, and in particular in the state-of-the-art machine learning-based methods for Electroencephalography (EEG) acquisition. EEG as a tool can be used to detect various states concerning human health, but it can also be used to detect the human’s states such as alertness, interest and even drowsiness. In this paper we ...

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关键词

Training,Learning systems,Machine learning,Electroencephalography,Brain-computer interfaces,Telecommunications,Safety

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