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Proactive Stress Management Using LSTM Forecasting, Deep Reinforcement - Brossura

Jha, Abhijit Kumar; Srivastava, Siddharth

 
9786630078862: Proactive Stress Management Using LSTM Forecasting, Deep Reinforcement
Brossura
ISBN 10: 6630078861 ISBN 13: 9786630078862
Casa editrice: LAP LAMBERT Academic Publishing, 2026

Sinossi

In today's life, stress has become a big issue because of excessive working load, study pressure, and unhealthy lifestyle habits. It also impacts the physical health. Typical stress monitoring systems are largely reactive, meaning that they only detect stress once it has occurred, and thus cannot provide timely intervention. In this study, a proactive stress management model based on the wearable physiological signals and intelligent decision-making is proposed, with the aim of predicting or controlling the physiological changes caused by stress by using physiological signals as the input to the system. The proposed system combines three models: Bidirectional Long Short-Term Memory (Bi-LSTM) forecasting, Deep Reinforcement Learning (DRL), and SHAP explainability, to create a predictive and adaptive health support system.

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Editore
LAP LAMBERT Academic Publishing
Data di pubblicazione
2026
Lingua
Inglese
ISBN 10 
6630078861
ISBN 13 
9786630078862
Rilegatura
Copertina flessibile
Numero di pagine
120
Contatto del produttore
non disponibile
Persona responsabile
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