Artificial Intelligence (AI) Driven Mental Health Management System Integrating CNN and LSTM Algorithms with Wearable Technology for Real-Time Emotional Monitoring
DOI:
https://doi.org/10.48047/nzywdz65Keywords:
Psychological analysis, emotion detection, remote healthcare.Abstract
Today, with the rapid advancement of technology and increasing pressure on mental health
challenges, traditional health systems have difficulty in providing personalized care and timely
interventions. This paper presents the optimal control of mental health management system by
using cutting-edge deep learning models—Convolutional Neural Networks (CNNs) and Long
Short-Term Memory (LSTM) networks—to deliver precise, real-time emotional assessments.
By collecting physiological data via a smartwatch, including heart rate variability, activity
levels, and sleep patterns, the system effectively identifies stress and emotional states with an
accuracy of approximately 95%. I
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