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...
| Auteurs principaux: | , , , |
|---|---|
| Format: | Article |
| Langue: | English |
| Publié: |
Elsevier
2024-09-01
|
| Collection: | Egyptian Informatics Journal |
| Sujets: | |
| Accès en ligne: | http://www.sciencedirect.com/science/article/pii/S1110866524000926 |