EmonRezaBD / stress-classification

This repository contains the concept and implementation described in "Neurophysiological Feature Based Stress Classification Using Unsupervised Machine Learning Technique"

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Neurophysiological Feature Based Stress Classification Using Unsupervised Machine Learning Technique

Bhowmik et al. International Conference on Fourth Industrial Revolution and Beyond 2021

This codebase is created for our submission to IC4IR 2021.

Read the article

The repository is organized as follow:

  • imagescontains all the digrams used in this study
  • codescontains python script
  • readme.mdcontains the description of this project

Cite Us

If you found our research interesting, cite us.

@inproceedings{bhowmik2022neurophysiological,
title={Neurophysiological Feature Based Stress Classification Using Unsupervised Machine Learning Technique},
author={Bhowmik, Moumita and Bhuyain, Al and Khadem, Naim Ibna and Reza, Md and Khan, Nafiz Imtiaz and Islam, Muhammad Nazrul and others},
booktitle={Proceedings of International Conference on Fourth Industrial Revolution and Beyond 2021},
pages={603--614},
year={2022},
organization={Springer}
}

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This repository contains the concept and implementation described in "Neurophysiological Feature Based Stress Classification Using Unsupervised Machine Learning Technique"