Classification of EEG Signals from Driving Fatigue by Image-Based Deep Recurrent Neural Networks-Reference-Cited by-同舟云学术

Classification of EEG Signals from Driving Fatigue by Image-Based Deep Recurrent Neural Networks

Published:2022-08-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Mechatronics and Automation (ICMA)
language:
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Author:

Fang Zhaoguo¹,Dong Enzeng¹,Tong Jigang¹,Sun Zhe²,Duan Feng³

Affiliation:

1. Tianjin University of Technology 391 Binshui West Road,Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems and Intelligent Robot Laboratory,Tianjin,China

2. Head Office for Information Systems and Cybersecurity, RIKEN,Computational Engineering Applications Unit,Saitama,Japan

3. Nankai University 94 Weijin Road,Department of Artificial Intelligence,Tianjin,China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9855896/9855897/09856167.pdf?arnumber=9856167

Reference21 articles.

1. EEG signal analysis for the assessment and quantification of driver’s fatigue

2. A data-driven approach to modeling physical fatigue in the workplace using wearable sensors;zahra;Applied Ergonomics,2017