The WiFi-Based Human Activity Recognition Under Everyday Life Changes Dataset (WiFi-Wild)

This repository contains the files required to support WiFi-based Human Activity Recognition (HAR) Included Files WiFi-Wild-HAR.zip (2.40 GB)The primary dataset contains raw CSI recordings collected in a real-world environment. This file forms the core resource for training and evaluating HAR model. ESP32-CSI-Tool-master.zip (79.28 KB)The official ESP32 CSI tool used for data acquisition. It includes the necessary scripts and firmware for capturing CSI measurements from ESP32 devices. Source_code.ipynb (9.77 KB)A Jupyter Notebook providing example code for data preprocessing, feature extraction, and model experimentation. This serves as a starting point for reproducing the experiments. Fields_Description.pdf (71.03 KB)Documentation describing the dataset structure, variable names, and field meanings to help users correctly interpret the data. Baseline_Model.kerasA pre-trained deep learning baseline model saved in the native Keras (.keras) format. This model is trained on the baseline layout to be used in testing on different setups available in the WiFi-Wild dataset folder.