Classification of Stress using Machine Learning Based on Physiological and Psychological Data from Wearables-Reference-Cited by-同舟云学术

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Classification of Stress using Machine Learning Based on Physiological and Psychological Data from Wearables

Published:2023-11-19 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
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Author:

Pauzi Tuan Muhamad Affiq Aimullah Tuan Mohd¹,Samah Asma Abu²,Dela Cruz Jennifer C.³,Ghaffa Dalilah¹,Nordin Rosdiadee²,Abdullah Nor Fadzilah²

Affiliation:

1. Universiti Kebangsaan Malaysia,Faculty of Engineering and Built Environment,Department of Electrical, Electronic and Systems Engineering,Bangi,Malaysia

2. Universiti Kebangsaan Malaysia,Faculty of Engineering and Built Environment,Wireless Research@UKM Department of Electrical, Electronic and Systems Engineering,Bangi,Malaysia

3. School of Electrical, Electronics and Computer Engineering, Mapua University,Manila,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10588998/10589001/10589250.pdf?arnumber=10589250

Reference19 articles.

1. World mental health report: Transforming mental health for all,2022

2. Deriving Heart Rate and Respiratory Rate from Pulse Oximetry Using Neural Networks

3. The neuroendocrinology of stress: the stress-related continuum of chronic disease development

4. Gated Recurrent Unit Network for Psychological Stress Classification Using Electrocardiograms from Wearable Devices

5. Review on psychological stress detection using biosignals

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