Place recognition with WiFi fingerprints using Autoencoders and Neural Networks
Tensorflow implementation of model discussed in the following paper: Low-effort place recognition with WiFi fingerprints using deep learning
Tools Required
Python 3 is used during development and following libraries are required to run the code provided in the notebook:
- Tensorflow
- Numpy
- Pandas
Dataset
The UJIIndoorLoc dataset used for model training and testing, can be downloaded from the following [link].
Note: If you see mistakes or want to suggest changes, please submit a pull request.