Wi-Fi Vision: Device-free human pose estimation and activity recognition using ESP32 CSI and machine learning.
A human presence detection system using Wi-Fi CSI and mmWave RDM.
Real-time Wi-Fi CSI spatial sensing stack: simulates RF channel state information and runs a geometry-constrained fusion pipeline to detect and track moving entities, streamed live to a WebSocket dashboard. Python / FastAPI / NumPy.
Análise de sinais Wi-Fi com IA para sensoriamento ambiental device-free (detecção de movimento/presença via RSSI), com dashboard PySide6 e interpretação por LLM local (BitNet).
Wi-Fi CSI Human Activity Recognition (HAR) framework using deep learning (CNN-BiLSTM-Attention) for device-free wireless sensing, fall detection, and spatial-temporal pattern analysis.
Device-free presence and motion detection from 802.11n channel state information — live dashboard, offline analysis, and the measurement studies behind them. Respiration is computed but not demonstrated; pose is not attempted.
This is the first version of this application. Future versions will contain exciting new features, and you will find the version number by the filenames listed here.
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