Indoor Location Utility Service A project that achieves indoor positioning using WiFi signals.
4 WiFi routers are setup at each corner of the grid. The given area (5.4mX5.4m) is divided into 9 cells. Each cell has a dimension of (1.8m X 1.8m). Using TI CC3200 module, the strength of signals are measured at each cell and stored in a database. Using algorithms such as K Nearest neighbours, Support Vector Machine and Artificial Neural Networks the data is classified. For better accuracy, only the WiFi channels 1,6 and 11 are utilized to receive signal strength.
Analysis Of Machine Learning Algorithms For Wi-Fi-based Indoor Positioning System https://ieeexplore.ieee.org/document/8933285
Abishek R Abishek KR Hariharan N Rakesh V C Sundara Paripooranan