Source code for M.T. Hoang, B. Yuen, X. Dong, T. Lu, R. Westendorp and K. Reddy, “Recurrent Neural Networks for Accurate RSSI Indoor Localization,” IEEE Internet of Things Journal, 2019
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Updated
Mar 23, 2022 - Python
Source code for M.T. Hoang, B. Yuen, X. Dong, T. Lu, R. Westendorp and K. Reddy, “Recurrent Neural Networks for Accurate RSSI Indoor Localization,” IEEE Internet of Things Journal, 2019
Source code for the paper "A Soft Range Limited K-Nearest Neighbors Algorithm for Indoor Localization Enhancement"
[IEEE SECON 2022] "WiVelo: Fine-grained Walking Velocity Estimation for Wi-Fi Passive Tracking" by Chenning Li, Li Liu, Zhichao Cao, and Mi Zhang.
Dataset for ESP32C3 WiFi FTM RSSI Indoor Localization
Using WiFi signals (RSSI values) to predict indoor locations
Wi-Fi BLE RSSI SQI Localization dataset
Built in C and Python. Our program utilizes MacOS wireless connection tools to scan wi-fi access points and compare a users wireless profile to a database of previously collected location based profiles.
Indoor localization using Wi-Fi fingerprinting and machine learning.
A nl80211 C/C++ library for monitoring signal strength of WiFi networks
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