Long Short-term Memory Network Based Fatigue Detection with Sequential Mouth Feature-Reference-Cited by-同舟云学术

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Long Short-term Memory Network Based Fatigue Detection with Sequential Mouth Feature

Published:2020-12-06 Issue: Volume: Page:
ISSN:
Container-title:2020 International Symposium on Autonomous Systems (ISAS)
language:
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Author:

Fei Yanling,Li Bin,Wang Heng,Tian Lianfang

Funder

Fundamental Research Funds for the Central Universities, SCUT

Science and Technology Planning Project of Guangdong Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9378828/9378831/09378877.pdf?arnumber=9378877

Cited by 7 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. Intelligent Fatigue Driving Detection Method Based on Fusion of Smartphone and Smartwatch Data;Communications in Computer and Information Science;2024

2. JHPFA-Net: Joint Head Pose and Facial Action Network for Driver Yawning Detection Across Arbitrary Poses in Videos;IEEE Transactions on Intelligent Transportation Systems;2023-11

3. MobileNet-AFF: Multi-Scale Feature Fusion for Fatigue Driving Detection;Proceedings of the 2023 International Conference on Computer, Vision and Intelligent Technology;2023-08-25

4. Multimodal Fatigue Recognition State Based on Eyelid Features;2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT);2023-04-28

5. A Lightweight Driver Drowsiness Detection System Using 3DCNN With LSTM;Computer Systems Science and Engineering;2023

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