Drowsiness Detection in the Era of Industry 4.0: Are We Ready?-Reference-Cited by-同舟云学术

Drowsiness Detection in the Era of Industry 4.0: Are We Ready?

Published:2022-12 Issue:12 Volume:18 Page:9083-9091
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Bisogni Carmen¹^ORCID,Hao Fei²^ORCID,Loia Vincenzo³^ORCID,Narducci Fabio¹^ORCID

Affiliation:

1. Department of Computer Science, University of Salerno, Salerno, Italy

2. School of Computer Science, Shaanxi Normal University, Xi’an, China

3. Dipartimento di Scienze Aziendali – Management and Innovation Systems, University of Salerno, Fisciano, Italy

Funder

Natural Science Basic Research Plan in Shaanxi Province of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/9906876/09770343.pdf?arnumber=9770343

Reference37 articles.

1. A method of driver’s eyes closure and yawning detection for drowsiness analysis by infrared camera;tipprasert;Proc 1st Int Symp Instrum Control Artif Intell Robot,0

2. Student Attention Evaluation System Using Machine Learning for Decision Making

3. Scanpath Analysis of Student Attention During Problem Solving with Worked Examples

4. Modelling a smart environment for nonintrusive analysis of attention in the workplace

5. A Deep Learning Based Approach for Real-time Driver Drowsiness Detection

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