A Low Cost EDA-based Stress Detection Using Machine Learning-Reference-Cited by-同舟云学术

A Low Cost EDA-based Stress Detection Using Machine Learning

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Hosseini Elahe¹,Fang Ruijie¹,Zhang Ruoyu¹,Parenteau Anna²,Hang Sally²,Rafatirad Setareh³,Hostinar Camelia²,Orooji Mahdi¹,Homayoun Houman¹

Affiliation:

1. University of California, Davis,Electrical and Computer Engineering,Davis,USA

2. University of California, Davis,Department of Psychology,Davis,USA

3. University of California, Davis,Computer Science,Davis,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9994793/9994847/09995093.pdf?arnumber=9995093

Reference17 articles.

1. A Review of Emotion Recognition Using Physiological Signals

2. pyEDA: An Open-Source Python Toolkit for Pre-processing and Feature Extraction of Electrodermal Activity

3. NeuroKit2: A Python toolbox for neurophysiological signal processing

4. Galvanic skin response—the complete pocket guide,2017

5. Gsr analysis for stress: Development and validation of an open source tool for noisy naturalistic gsr data;aqajari;arXiv preprint arXiv 2005 06138,2020

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