The python library for working with the ESPARGOS WiFi channel sounder
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Updated
Aug 30, 2024 - Python
The python library for working with the ESPARGOS WiFi channel sounder
Human Walking Direction Detection Using Wireless Signals and Machine Learning Algorithms
gait recognition and intrusion detection based on WiFi sensing
Real-time sliding-window CSI packets & uploading program [NOTE: You may have to change "wldh-g" to "wldhg" in git submodule links]
Channel state information Auto-Labeling System
Channel Charting demo for ESPARGOS datasets, related to paper "ESPARGOS: Phase-Coherent WiFi CSI Datasets for Wireless Sensing Research"
Data processing tools for CSI motion recognition
Nexmon CSI utilities for Raspberry Pi
Channel Charting Website
The Pytorch implementation of "RSCNet: Dynamic CSI Compression for Cloud-based WiFi Sensing"
Gesture recognition by wifi channel state information (CSI)
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.
A server for shipping channel state information obtained using the Atheros CSI Tool via UDP in real time.
Realtime Wi-Fi CSI based Human Activity Recognition on a Raspberry Pi Zero + ESP32 setup
Automated radio map construction using a Thymio II and a Software-Defined Radio (SDR)
📊 Wi-Fi Channel State Information(CSI) visualization with python
Gait Based User Recognition from Channel State Information(CSI) collected from WiFi Data
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
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