Wi-Fi Vision: Device-free human pose estimation and activity recognition using ESP32 CSI and machine learning.
WiWave - WiFi radar & WiFi sensing dashboard for Windows. Real-time WiFi motion detection from RSSI + ESP32 CSI (channel state information): multi-link fusion, spectral analysis, event journal & 3D observatory. Local-first, open-source.
A human presence detection system using Wi-Fi CSI and mmWave RDM.
Camera-free motion and presence detection using WiFi Channel State Information (CSI) on ESP32-S3.
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.
Code, firmware and measured results for the IEEE Access paper: Wi-Fi CSI human activity recognition (TinyML) on a memory-constrained ESP32 microcontroller
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.
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.
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).
Device-free WiFi RF sensing - detect motion/objects using ordinary WiFi RSSI, with an ESP32 mesh for 3D radio-tomographic imaging. Python pipeline + ESP32 firmware.
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