Wearable driver drowsiness detection using electrooculography signal-Reference-Cited by-同舟云学术

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Wearable driver drowsiness detection using electrooculography signal

Published:2016-01 Issue: Volume: Page:
ISSN:
Container-title:2016 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet)
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Author:

Ma Zheren,Li Brandon C.,Yan Zeyu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7440956/7444293/7444317.pdf?arnumber=7444317

Cited by 21 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. Advancements and Perspectives in Fatigue Driving Detection: A Comprehensive Review;IECE Transactions on Intelligent Unmanned Systems;2024-07-07

2. A Comprehensive Review of Driver Drowsiness Detection Systems and Applied Technologies;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

3. An Analysis of Driver Drowsiness Detection Using Electromyography (EMG) Facial Muscles;Lecture Notes in Electrical Engineering;2024

4. Trends and emerging opportunities for smart wearables;Smart and Connected Wearable Electronics;2024

5. Forecasting the transition to sleep through HRV analysis: insights from ARIMA analysis and the concept of critical slowing down;Biological Rhythm Research;2023-12-28

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