Learning-Based Instantaneous Drowsiness Detection Using Wired and Wireless Electroencephalography-Reference-Cited by-同舟云学术

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Learning-Based Instantaneous Drowsiness Detection Using Wired and Wireless Electroencephalography

Published:2019 Issue: Volume:7 Page:146390-146402
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Choi Hyun-Soo^ORCID,Min Seonwoo,Kim Siwon^ORCID,Bae Ho,Yoon Jee-Eun,Hwang Inha,Oh Dana,Yun Chang-Ho,Yoon Sungroh^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08861308.pdf?arnumber=8861308

Cited by 12 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. Neuroscience meets building: A comprehensive review of electroencephalogram applications in building life cycle;Journal of Building Engineering;2024-05

2. Enhancing Driver Safety: Real-Time Drowsiness Detection through Eye Aspect Ratio and CNN-Based Eye State Analysis;2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE);2024-01-24

3. Psychophysiological models of hypovigilance detection: A scoping review;Psychophysiology;2023-06-23

4. Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review;Multimedia Tools and Applications;2023-06-19

5. Driving drowsiness detection using spectral signatures of EEG-based neurophysiology;Frontiers in Physiology;2023-03-30

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