February 2022
Intermediate to advanced
392 pages
13h 2m
English
Content preview from Artificial Intelligence-Based Brain-Computer Interface
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8: Customized deep learning algorithm for drowsiness detection using single-channel EEG signal
Jaya Prakash Allam; Saunak Samantray; Chinmaya Behara; Ketan Kishor Kurkute; Vikas Kumar Sinha DMIMS (DU), Wardha, Maharashtra, India
Abstract
An electroencephalogram (EEG) is a graphical tool used to analyze the brain's state. Drowsiness is one of the brain's crucial states, and it is the primary cause of accidents globally while driving vehicles. Mental sleepiness and obviousness are a portion of the explanations behind drowsiness. Therefore, identifying the drowsiness state of a person is an important task to avoid accidents. Manually analyzing an EEG signal with the naked eye is very difficult; hence an automatic system is required. ...
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