🛜 ESPectre 👻 - Motion detection system based on Wi-Fi spectre analysis (CSI), with Home Assistant integration.
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Updated
Jul 9, 2026 - Python
🛜 ESPectre 👻 - Motion detection system based on Wi-Fi spectre analysis (CSI), with Home Assistant integration.
A list of awesome papers and cool resources on WiFi CSI sensing.
Extract Channel State Information from WiFi-enabled ESP32 Microcontroller. Active and Passive modes available. (https://stevenmhernandez.github.io/ESP32-CSI-Tool/)
test example of paper, Can WiFi Estimate Person Pose?
A lightweight pure Python DSP engine for ESP32 Wi-Fi CSI spatial sensing. 极简版纯 Python Wi-Fi
📊 Wi-Fi Channel State Information(CSI) visualization with python
[INFOCOM WKSHPS 2024] Official Repository for The Paper, Finding the Missing Data: A BERT-inspired Approach Against Package Loss in Wireless Sensing
This is the Home Assistant add-on for TOMMY, a Wi-Fi motion detection system that turns ESP32 devices into motion sensors capable of detecting movement through walls and obstacles.
This is the ESPHome external component for TOMMY, allowing you to add Wi-Fi motion detection capabilities to your existing ESPHome devices.
This contains the plug and play code for "mmHSense: Multi-Modal and Distributed mmWave ISAC Datasets for Human Sensing"
[IEEE IOT-J] Official Repository for The Paper, CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese Network
[IEEE TMC / ICCC 2025] Official Repository for The Paper, KNN-MMD: Cross Domain Wireless Sensing via Local Distribution Alignment
[SRIBD Project 2024] A Realtime Wi-Fi Sensing System Demo
A framework for fall detection with CSI Wi-Fi data
The Pytorch implementation of "RSCNet: Dynamic CSI Compression for Cloud-based WiFi Sensing"
[IEEE TMC] Official Repository for The Paper, CSI-BERT2: A BERT-Inspired Framework for Efficient CSI Prediction and Recognition in Wireless Communication and Sensing
WiFi CSI-based gesture recognition using dual-path ensemble deep learning (CNN2D + CNN1D-LSTM). 90.19% accuracy on ESP32 hardware with 426K parameters.
Privacy-aware environmental digital twin for ambient/RF sensing in Rust — a typed, provenance-tracked graph of rooms, sensors, people & beliefs, geospatially grounded with predictive occupancy (OccWorld). ADR-139.
This refers to the paper multi-modal pose estimation in XR applications leveraging ISAC
This tutorial introduces a simple BFI acquisition method that does not require additional modifications.
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