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Zhu et al., 2022 - Google Patents

Feasibility study of stress detection with machine learning through eda from wearable devices

Zhu et al., 2022

View PDF
Document ID
7147322427594335975
Author
Zhu L
Ng P
Yu Y
Wang Y
Spachos P
Hatzinakos D
Plataniotis K
Publication year
Publication venue
ICC 2022-IEEE International Conference on Communications

External Links

Snippet

The recent pandemic has brought tremendous changes to everyone's life, causing stress about losing loved ones, losing jobs, and having changes in sleep or eating habits. This study investigates the feasibility of utilizing Electrodermal Activity (EDA) collected from …
Continue reading at users.encs.concordia.ca (PDF) (other versions)

Classifications

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