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sleep-quality

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GuruMohith24 / FogSleepMonitor

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A Fog Computing-based real-time sleep quality monitoring system using LSTM deep learning on wearable sensor data (PPG + Accelerometer). Trained on the MMASH dataset (PhysioNet) from 22 real subjects, achieving 92.8% accuracy. Features a Streamlit live dashboard and Arduino hardware integration.

python iot arduino machine-learning real-time deep-learning tensorflow keras lstm heart-rate physionet fog-computing edge-computing cyber-physical-systems accelorometer streamlit wearable-sensors sleep-monitoring sleep-quality mmash-dataset
  • Updated Mar 31, 2026
  • Python

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