Driver Drowsiness Classification using Machine Learning and Heart Rate Variability-Reference-Cited by-同舟云学术

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Driver Drowsiness Classification using Machine Learning and Heart Rate Variability

Published:2023-05-11 Issue: Volume: Page:
ISSN:
Container-title:2023 11th International Symposium on Digital Forensics and Security (ISDFS)
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Author:

Meneses Miguel V. P. R.¹,Antunes Ana Rita²,Gonçalves Joaquim³

Affiliation:

1. LITEC Optimizer,Innovation and Knowledge Engineering Lab,Porto,Portugal

2. University of Minho,2Ai – School of Technology, LASI – Associate Laboratory of Intelligent Systems IPCA

3. LASI – Associate Laboratory of Intelligent Systems IPCA,2Ai – School of Technology,Barcelos,Portugal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10131120/10131673/10131881.pdf?arnumber=10131881

Reference20 articles.

1. A Hybrid Scheme for Drowsiness Detection Using Wearable Sensors

2. An Investigation of Early Detection of Driver Drowsiness Using Ensemble Machine Learning Based on Hybrid Sensing

3. Spectral Analysis of Heart Rate Variability: Time Window Matters

4. An Intelligent System to Detect Drowsiness at the Wheel

5. A Review of Recent Developments in Driver Drowsiness Detection Systems

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