The python library for working with the ESPARGOS WiFi channel sounder

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/)

Human Activity Recognition based on WiFi Channel State Information

Human Activity Recognition using Channel State Information

Sign Language Recognition using WiFi and Convolutional Neural Networks

802.11n CSI Tool based on iwlwifi and Linux

An implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adversarial Network (GAN) for Channel State Information (CSI) -based activity recognition.

This is a data-set for Human Activities & Gestures Recognition (HAGR) using the Channel State information (CSI) of IEEE 802.11n devices

Uncertainty-Aware Dimensionality Reduction for Channel Charting with Geodesic Loss

📊 Wi-Fi Channel State Information(CSI) visualization with python

Gait Based User Recognition from Channel State Information(CSI) collected from WiFi Data

Realtime Wi-Fi CSI based Human Activity Recognition on a Raspberry Pi Zero + ESP32 setup

Source code related to the paper "Passive Channel Charting: Locating Passive Targets using Wi-Fi Channel State Information"

Automated radio map construction using a Thymio II and a Software-Defined Radio (SDR)

Baha’ A. Alsaify, Mahmoud M. Almazari, Rami Alazrai, Mohammad I. Daoud, A dataset for Wi-Fi-based human activity recognition in line-of-sight and non-line-of-sight indoor environments, Data in Brief, Volume 33, 2020, 106534, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2020.106534.

Channel Charting demo for ESPARGOS datasets, related to paper "ESPARGOS: Phase-Coherent WiFi CSI Datasets for Wireless Sensing Research"

Gesture recognition by wifi channel state information (CSI)

The Pytorch implementation of "RSCNet: Dynamic CSI Compression for Cloud-based WiFi Sensing"

A server for shipping channel state information obtained using the Atheros CSI Tool via UDP in real time.

Channel Charting Website

WiFi CSI-based gesture recognition using dual-path ensemble deep learning (CNN2D + CNN1D-LSTM). 90.19% accuracy on ESP32 hardware with 426K parameters.

This refers to the paper multi-modal pose estimation in XR applications leveraging ISAC

Nexmon CSI utilities for Raspberry Pi

Context Aware Predictive Coding (CAPC)

Data processing tools for CSI motion recognition

This project implements a Deep Q-Network (DQN) for optimizing Reconfigurable Intelligent Surface (RIS) configurations in 6G wireless communication systems. The system uses reinforcement learning to select optimal RIS phase configurations to maximize signal quality and user fairness.

A desktop application that recognizes human activities based on Wi-Fi Signal data captured using Raspberry Pi

Real-time CSI classifier using MATLAB and Keras [NOTE: You may have to change "wldh-g" to "wldhg" in README links]

Human Walking Direction Detection Using Wireless Signals and Machine Learning Algorithms