Data fusion for driver drowsiness recognition: A multimodal perspective

Data fusion for driver drowsiness recognition: A multimodal perspective

Drowsiness is characterized by decreased alertness and an increased inclination to fall asleep, typically from factors such as fatigue, sleep deprivation, or other related influences. In the context of driving, drowsiness poses substantial safety risks. The detection of driver drowsiness is of param...

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Bibliografski detalji
Glavni autori: S. Priyanka, S. Shanthi, A. Saran Kumar, V. Praveen
Format: Članak
Jezik:English
Izdano: Elsevier 2024-09-01
Serija:Egyptian Informatics Journal
Teme:
Drowsiness
Convolutional Neural Networks
Long Short-Term Memory
Manual Mode
Automated Mode
Rested
Online pristup:http://www.sciencedirect.com/science/article/pii/S1110866524000926

Internet

http://www.sciencedirect.com/science/article/pii/S1110866524000926

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