Driver Fatigue Detection Method Based on Human Pose Information Entropy
Driver fatigue detection (DFD) is an effective method to prevent traffic accidents. The existing research on DFD using facial features is an effective and noninvasive fatigue detection method. However, this approach is affected by facial occlusions (glasses, sunglasses, masks, etc.) and the large fa...
Saved in:
Main Authors: | Taiguo Li, Tiance Zhang, Yingzhi Zhang, Liben Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2022/7213841 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Fatigue Driving Detection Algorithm Based on Facial Motion Information Entropy
by: Feng You, et al.
Published: (2020-01-01) -
Pose Determination for Malfunctioned Satellites Based on Depth Information
by: Feng Yu, et al.
Published: (2019-01-01) -
A hybrid human fall detection method based on modified YOLOv8s and AlphaPose
by: Lei Liu, et al.
Published: (2025-01-01) -
An Overview of Human Pose Estimation Based on Wireless Signals
by: Yan CHEN, et al.
Published: (2025-02-01) -
Vision-Based Damage Detection Method Using Multi-Scale Local Information Entropy and Data Fusion
by: Yiming Zhang, et al.
Published: (2025-01-01)