Comprehensive Home Assistant integration for Eight Sleep smart mattresses with custom Lovelace card, device actions, and real-time sleep monitoring
Deep Learning Approach for UWB Applications (IEEE Journal of Biomedical and Health Informatics)
Resource-efficient wearer-aware event recognition on earables (DreamCatcher dataset)
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.
💤 IoT-based Smart Pillow that monitors pulse, respiration, body temperature, pressure, light, and sleep posture via ESP32 + sensors, streams data to MongoDB through a Node.js API, and uses a Random Forest model to predict insomnia/sleep-disorder risk in real time - with live alerts via the Blynk app.
Embedded systems project for non-invasive sleep quality monitoring using ESP32. Integrates ECG, SpO2, EMG, temperature, and motion sensors to capture and analyze physiological data during sleep. Features real-time data transmission and comprehensive sleep pattern analysis.
Smart nap guardian for Android — BLE heart rate monitoring with sleep detection and safety alarm
HRBR V2.0 — Non-contact radar-based sleep monitoring system using 60 GHz mmWave sensor with real-time dashboard, sleep stage classification, and cloud infrastructure
react dashboard for sleepwalker wearos app
A short cross platform tool that helps your agent stay alive and prevent sleeping
Real-time PTSD nightmare detection & therapeutic audio intervention. MIT AST + wav2vec2 pipeline detects nightmare distress on a MacBook M2. MusicGen/AudioGen pre-cached soundscapes interrupt nightmares without waking the patient. Next.js dashboard on Vercel.
Real-time sleep quality monitoring dashboard with interactive data visualization. Features multi-user tracking, ThingSpeak IoT integration, and comprehensive statistical analysis of physiological sleep data including ECG, EMG, and motion sensors.
NestJS-based backend for pillowpon service.
Sleep‑monitoring system using a Raspberry Pi Pico W and DIY velostat pressure sensors placed under the mattress. It records pressure changes caused by subtle body movements during sleep and sends the data over Wi‑Fi for MATLAB analysis. Future versions include sleep‑stage estimation and smart‑alarm features.
Monitor sleep quality and hydration strain with a deterministic Node.js, Express, and MongoDB physiological analysis dashboard
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