Feasibility Study of Stress Detection with Machine Learning through EDA from Wearable Devices
Author:
Affiliation:
1. University of Guelph,School of Engineering,Guelph,ON,Canada
2. Huawei Technologies Canada,ON,Canada
3. University of Toronto,Department of Electrical and Computer Engineering,Toronto,ON,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9837954/9838246/09838970.pdf?arnumber=9838970
Reference21 articles.
1. Psychological stress level detection based on electrodermal activity
2. Electrodermal Activity in Adolescent Depression
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4. Psychological stress of medical staffs during outbreak of COVID‐19 and adjustment strategy
5. Wearable Sensors for COVID-19: A Call to Action to Harness Our Digital Infrastructure for Remote Patient Monitoring and Virtual Assessments
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1. Reading Between the Heat;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2023-12-19
2. MIStress: A Student Experiment on Data Collection and Analysis in the Context of Stress Detection;2023 International Conference on Electrical, Computer and Energy Technologies (ICECET);2023-11-16
3. Individualized Stress Mobile Sensing Using Self-Supervised Pre-Training;Applied Sciences;2023-11-04
4. Efficient Feature-Selection-Based Stacking Model for Stress Detection Based on Chest Electrodermal Activity;Sensors;2023-07-25
5. Wearable Technologies for Electrodermal and Cardiac Activity Measurements: A Comparison between Fitbit Sense, Empatica E4 and Shimmer GSR3+;Sensors;2023-06-23
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