WiFi and Bluetooth RSSI SQI Indoor Localization

Wi-Fi BLE RSSI SQI Localization dataset Wi-Fi BLE RSSI for positioning / Indoor Localization in 4 different locations and using 18 different APs Data is only measured at the Router Side Data is not measured at client side Has 12 datasets inside the zip folder with over 1,000,000 data points Contains processed Wi-Fi and BLE packets from various routers in: 1. University of Victoria, Engineering Office Wing (EOW) 2. University of Victoria, Engineering Lab Wing (ELW) 3. University of Victoria, Engineering and Computer Science (ECS) Each folder contains a training dataset and a testing dataset that is independent in time and space Router Time is synchronized using chrony Dataset is in CSV format Relative Time (seconds) | X Position (meters) | Y Position (meters) | Feature 1 | Feature 2 | Feature 3 ..... Time resets at every new position and position accuracy is a few centimeters using LIDAR and RGBD camera Map is in ROS2 PGM format that can read by ROS2 programs Data for the paper Wi-Fi and Bluetooth Contact Tracing Without User Intervention https://ieeexplore.ieee.org/document/9866766 Please Cite As @article{yuen2022wi,
title={Wi-Fi and Bluetooth contact tracing without user intervention},
author={Yuen, Brosnan and Bie, Yifeng and Cairns, Duncan and Harper, Geoffrey and Xu, Jason and Chang, Charles and Dong, Xiaodai and Lu, Tao},
journal={IEEE Access},
volume={10},
pages={91027--91044},
year={2022},
publisher={IEEE}
}