Fatigue Monitoring Based on Yawning and Head Movement

Author:

Raman Kirbana Jai,Azman Afizan,Arumugam Venosha,Ibrahim Siti Zainab,Yogarayan Sumendra,Azli Abdullah Mohd Fikri,Abdul Razak Siti Fatimah,Muhamad Amin Anang Hudaya,Sonaimuthu Kalaiarasi

Publisher

IEEE

Cited by 11 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. A systematic review of factors, data sources, and prediction techniques for earlier prediction of traffic collision using AI and machine Learning;Multimedia Tools and Applications;2024-07-13

2. Study on identification method of driver fatigue considering individual ECG differences;Cognition, Technology & Work;2024-03-27

3. An AI-Based Integrated Framework for Motion-Activated Facial Recognition;Lecture Notes in Networks and Systems;2024

4. FatigueDriving Detection System Based on Deep Learning;2023 IEEE 15th International Conference on Computational Intelligence and Communication Networks (CICN);2023-12-22

5. A Systematic Survey of Driving Fatigue Monitoring;IEEE Transactions on Intelligent Transportation Systems;2022-11

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