An embedded intelligence engine for driver drowsiness detection
Abstract Motor vehicle crashes involving drowsy driving are huge in number all over the world. Many studies revealed that 10%–30% of crashes are due to drowsy driving. Fatigue has costly effects on the safety, health, and quality of life. This drowsiness of drivers can be detected using various meth...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi-IET
2022-01-01
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| Series: | IET Computers & Digital Techniques |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/cdt2.12036 |