Behind-the-Ear EEG-Based Wearable Driver Drowsiness Detection System Using Embedded Tiny Neural Networks-Reference-Cited by-同舟云学术

Behind-the-Ear EEG-Based Wearable Driver Drowsiness Detection System Using Embedded Tiny Neural Networks

Published:2023-10-01 Issue:19 Volume:23 Page:23875-23892
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Nguyen Ha-Trung¹,Mai Ngoc-Dau¹,Lee Boon Giin²^ORCID,Chung Wan-Young¹^ORCID

Affiliation:

1. Department of Artificial Convergence, Pukyong National University, Busan, South Korea

2. Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute, School of Computer Science, University of Nottingham Ningbo China, Ningbo, China

Funder

National Research Foundation of Korea

Korea Government through Ministry of Science and ICT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10269339/10236992.pdf?arnumber=10236992

Reference55 articles.

1. A Systemic Review of Available Low-Cost EEG Headsets Used for Drowsiness Detection

2. Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness

3. An iterative cross-subject negative-unlabeled learning algorithm for quantifying passive fatigue

4. Toward Drowsiness Detection Using Non-hair-Bearing EEG-Based Brain-Computer Interfaces

5. Driver sleepiness detection from EEG and EOG signals using GAN and LSTM networks

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