Autoencoder-Based Human Stress Detection System Using Biological Signals

Stress and depression stand as the most prevalent psychological challenges in our daily lives, significantly reducing productivity in day-to-day tasks. Stress detection model typically relies on supervised learning and physiological /behavioral markers, with promising outcomes. However, label-collec...

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Bibliographic Details

Published in:	2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI) pp. 1 - 7
Main Authors:	Subathra, P., Malarvizhi, S.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 17.04.2024
Subjects:	Agglomerative clustering EDA Feature extraction Heart rate Human factors K-means clustering Productivity Psychology Silhouette score Stress Supervised learning Surveys
Online Access:	Get full text
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