An End-to-End Deep Learning Regressor for Predicting Stress Levels from Physiological Signals
Keywords:
Keywords: Deep Learning, Stress Monitoring, Regression models, Machine Learning, Physiological Signals.Abstract
Stress monitoring via physiological signals has the potential to transform healthcare by enablingobjective, continuous assessment, yet existing workflows remain fragmented relying on episodicquestionnaires, manual scoring, and separate scripts for machine-learning. To address, we developeda desktop application with a Tkinter graphical user interface that guides users through data ingestion,preprocessing, model training
References
Ceren Ates H., Ates C., Dincer C. (2024). Stress monitoring with wearable technology and AI.
Nat. Electron. 7, 98–99. 10.1038/s41928-024-01128-w
Mozos O. M., Sandulescu V., Andrews S., Ellis D., Bellotto N., Dobrescu R., et al. (2016).
Stress detection using wearable physiological and sociometric sensors. Int. J. Neural Syst. 27,
10.1142/s0129065716500416
