Remote Drowsiness Detection Based on the mmWave FMCW Radar-Reference-Cited by-同舟云学术

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Remote Drowsiness Detection Based on the mmWave FMCW Radar

Published:2022-08-01 Issue:15 Volume:22 Page:15222-15234
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Liu Sannyuya¹^ORCID,Zhao Liang¹^ORCID,Yang Xidong²^ORCID,Du Yiming³^ORCID,Li Menglin¹^ORCID,Zhu Xiaoliang¹^ORCID,Dai Zhicheng¹^ORCID

Affiliation:

1. National Engineering Laboratory for Educational Big Data(NELEBD), Central China Normal University, Wuhan, China

2. National Engineering Research Center for E-learning (NERCEL), Central China Normal University, Wuhan, China

3. Collaborative Innovation Center for Educational Technology, Central China Normal University, Wuhan, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9845438/09813466.pdf?arnumber=9813466

Cited by 9 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. Passive Monitoring of Dangerous Driving Behaviors Using mmWave Radar;Pervasive and Mobile Computing;2024-10

2. Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence;Sensors;2024-06-09

3. mmDrive: Fine-grained Fatigue Driving Detection Using mmWave Radar;ACM Transactions on Internet of Things;2023-11-22

4. Stress Detection via Multimodal Multitemporal-Scale Fusion: A Hybrid of Deep Learning and Handcrafted Feature Approach;IEEE Sensors Journal;2023-11-15

5. Remote photoplethysmography (rPPG) based learning fatigue detection;Applied Intelligence;2023-09-20

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