An Effort to Detect Vehicle Drivers Drowsy State Based on the Speed Analysis
Detection of the drivers drowsy state is still an actual task since it is a reason for a significant number of traffic accidents. The carried out literature review showed that a significant number of approaches rely on special equipment for driver state identification. At the same time, efficient op...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
FRUCT
2021-05-01
|
| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://www.fruct.org/publications/fruct29/files/Shi.pdf |
| Summary: | Detection of the drivers drowsy state is still an actual task since it is a reason for a significant number of traffic accidents. The carried out literature review showed that a significant number of approaches rely on special equipment for driver state identification. At the same time, efficient operation of computer vision-based techniques heavily depends on the lighting conditions, which are usually not good in a moving car. The paper presents a research effort aiming at using speed recordings to identify the drivers state. For this purpose, the speed recordings are analyzed as a time series, and its characteristics are used as features for the classification task. The results show that the suggested approach is viable and promising. |
|---|---|
| ISSN: | 2305-7254 2343-0737 |