Result: Multi-Level Classification of Driver Drowsiness by Simultaneous Analysis of ECG and Respiration Signals Using Deep Neural Networks

Title:

Multi-Level Classification of Driver Drowsiness by Simultaneous Analysis of ECG and Respiration Signals Using Deep Neural Networks / Serajeddin Ebrahimian, Ali Nahvi, Masoumeh Tashakori, Hamed Salmanzadeh, Omid Mohseni, Timo Leppänen

Involved:

Ebrahimian, Serajeddin (Verfasser) ; Nahvi, Ali (Verfasser) ; Tashakori, Masoumeh (Verfasser) ; Salman Zadeh, Hamed (Verfasser) ; Mohseni, Omid (Verfasser) ; Leppänen, Timo (Verfasser)

Published in:

International Journal of Environmental Research and Public Health. - 2022. - 10.3390/ijerph191710736. - ISSN 1660-4601. - Jahrgang 19, Heft 17, Artikel 10736

Published:

Basel : MDPI, 2022

Distribution:

Darmstadt : Universitäts- und Landesbibliothek Darmstadt

Scope:

1 Online-Ressource (17 Seiten)

Format:

eBook

Language:

English

Notes:

kostenfrei

DOI:

10.26083/tuprints-00022328

Open Access Rights:

Open Access
CC BY 4.0

Result: Multi-Level Classification of Driver Drowsiness by Simultaneous Analysis of ECG and Respiration Signals Using Deep Neural Networks

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