Enabling Safe ITS: EEG-Based Microsleep Detection in VANETs-Reference-Cited by-同舟云学术

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Enabling Safe ITS: EEG-Based Microsleep Detection in VANETs

Published:2022 Issue: Volume: Page:1-11
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Chougule Amit¹^ORCID,Shah Jash¹,Chamola Vinay²^ORCID,Kanhere Salil³^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering, BITS–Pilani, Pilani, India

2. Department of Electrical and Electronics Engineering, APPCAIR, BITS–Pilani, Pilani, India

3. School of Computer Science and Engineering, UNSW, Sydney, ACT, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/4358928/09997232.pdf?arnumber=9997232

Cited by 3 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. TFAC-Net: A Temporal-Frequential Attentional Convolutional Network for Driver Drowsiness Recognition With Single-Channel EEG;IEEE Transactions on Intelligent Transportation Systems;2024-07

2. A Novel Approach to Quantify Microsleep in Drivers With Obstructive Sleep Apnea by Concurrent Analysis of EEG Patterns and Driving Attributes;IEEE Journal of Biomedical and Health Informatics;2024-03

3. Novel welch-transform based enhanced spectro-temporal analysis for cognitive microsleep detection using a single electrode EEG;Neurocomputing;2023-09

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