802.11n CSI Tool based on iwlwifi and Linux
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Updated
Oct 30, 2019 - C
802.11n CSI Tool based on iwlwifi and Linux
Real-time sliding-window CSI packets & uploading program [NOTE: You may have to change "wldh-g" to "wldhg" in git submodule links]
Human Activity Recognition using Channel State Information
Data processing tools for CSI motion recognition
Automated radio map construction using a Thymio II and a Software-Defined Radio (SDR)
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
A server for shipping channel state information obtained using the Atheros CSI Tool via UDP in real time.
Gait Based User Recognition from Channel State Information(CSI) collected from WiFi Data
Nexmon CSI utilities for Raspberry Pi
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.
Sign Language Recognition using WiFi and Convolutional Neural Networks
Gesture recognition by wifi channel state information (CSI)
gait recognition and intrusion detection based on WiFi sensing
📊 Wi-Fi Channel State Information(CSI) visualization with python
Channel state information Auto-Labeling System
Realtime Wi-Fi CSI based Human Activity Recognition on a Raspberry Pi Zero + ESP32 setup
Extract Channel State Information from WiFi-enabled ESP32 Microcontroller. Active and Passive modes available. (https://stevenmhernandez.github.io/ESP32-CSI-Tool/)
Human Walking Direction Detection Using Wireless Signals and Machine Learning Algorithms
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