Stress Detection Using Physiological Signals Based On Machine Learning-Reference-Cited by-同舟云学术

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Stress Detection Using Physiological Signals Based On Machine Learning

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Computational Science and Computational Intelligence (CSCI)
language:
Short-container-title:

Author:

Hota Ashmita¹,Park Sung-Won¹

Affiliation:

1. Texas A&M University-Kingsville,Department of Electrical Engineering and Computer Science,Kingsville,TX,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10216364/10216365/10216686.pdf?arnumber=10216686

Reference24 articles.

1. Human Emotion Recognition using Physiological Signals: A Survey;abhishek;Available at SSRN,2020

2. Methodology based on Social Media Network: A Proposed Design;detection;International Journal of Innovative Technology and Exploring Engineering,2020

3. Anxiety level recognition for virtual reality therapy system using physiological signals;justas;Electronics,2019

4. StressAware: App for Continuously Measuring and Monitoring Stress Levels in Real Time on the Amulet Wearable Device;boateng;Dartmouth College Undergraduate Theses,2016

5. Machine learning based solutions for real-time stress monitoring;rajdeep;IEEE Consumer Electronics Magazine,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancement of Stress Analysis Performance using Respiration Information;2023 IEEE 3rd Applied Signal Processing Conference (ASPCON);2023-11-24

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