A neural-network-based investigation of eye-related movements for accurate drowsiness estimation
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8471725/8512178/08513491.pdf?arnumber=8513491
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Detection of Student Sleepiness Using U-Net and Conv-LSTM Methods to Improve Learning Quality;2023 International Conference on Technology, Engineering, and Computing Applications (ICTECA);2023-12-20
2. A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS;IEEE Transactions on Intelligent Transportation Systems;2022-11
3. Human-error-potential Estimation based on Wearable Biometric Sensors;Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management;2021
4. Drowsiness Detection Using Viola–Jones Object Detection Algorithm for Real-Time Data;Advances in Intelligent Systems and Computing;2021
5. Driver Drowsiness Estimation by Parallel Linked Time-Domain CNN with Novel Temporal Measures on Eye States;IEICE Transactions on Information and Systems;2020-06-01
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