Human Walking Direction Detection Using Wireless Signals and Machine Learning Algorithms
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Updated
Dec 12, 2023 - Jupyter Notebook
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
Data processing tools for CSI motion recognition
The Pytorch implementation of "RSCNet: Dynamic CSI Compression for Cloud-based WiFi Sensing"
Nexmon CSI utilities for Raspberry Pi
Channel Charting Website
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.
Gesture recognition by wifi channel state information (CSI)
Realtime Wi-Fi CSI based Human Activity Recognition on a Raspberry Pi Zero + ESP32 setup
A server for shipping channel state information obtained using the Atheros CSI Tool via UDP in real time.
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
Channel State Information for Raspberry Pi. Use the pi-5.10.92 branch.
Sign Language Recognition using WiFi and Convolutional Neural Networks
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