BMPA- DSL: Binary Marine Predators Algorithm to Identify Driver’s Different Levels of Stress-Reference-Cited by-同舟云学术

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BMPA- DSL: Binary Marine Predators Algorithm to Identify Driver’s Different Levels of Stress

Published:2023-12-26 Issue: Volume:10 Page:75-80
ISSN:
Container-title:2023 14th International Conference on Information and Knowledge Technology (IKT)
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Author:

Vaezi Mahtab¹,Nasri Mehdi²,Azimifar Farhad¹,Mosleh Mahdi³

Affiliation:

1. Isfahan (Khorasgan) Branch, Islamic Azad University,Department of Biomedical Engineering,Isfahan,Iran

2. Khomeinishahr branch, Islamic Azad University,Department of Biomedical Engineering,Isfahan,Iran

3. Isfahan (Khorasgan) Branch, Islamic Azad University,Department of Computer Engineering,Isfahan,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10433001/10433011/10433031.pdf?arnumber=10433031

Reference40 articles.

1. An Explainable Machine Learning Approach Based on Statistical Indexes and SVM for Stress Detection in Automobile Drivers Using Electromyographic Signals

2. Real-Time Driver's Stress Event Detection

3. Machine Learning Algorithms based Detection and Analysis of Stress - A Review

4. Automobile Drivers Distraction Avoiding System Using Galvanic Skin Responses

5. Driver stress levels detection system using hyperparameter optimization

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