https://github.com/aqibsaeed/place-recognition-using-autoencoders-and-nn
Place recognition with WiFi fingerprints using Autoencoders and Neural Networks
https://github.com/aqibsaeed/place-recognition-using-autoencoders-and-nn
autoencoders deep-learning neural-networks place-recognition wifi-fingerprints
Last synced: 2 months ago
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Place recognition with WiFi fingerprints using Autoencoders and Neural Networks
- Host: GitHub
- URL: https://github.com/aqibsaeed/place-recognition-using-autoencoders-and-nn
- Owner: aqibsaeed
- License: apache-2.0
- Created: 2016-11-16T14:34:00.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-11-06T19:55:20.000Z (over 7 years ago)
- Last Synced: 2025-03-24T09:07:49.528Z (3 months ago)
- Topics: autoencoders, deep-learning, neural-networks, place-recognition, wifi-fingerprints
- Language: Jupyter Notebook
- Homepage:
- Size: 63.5 KB
- Stars: 265
- Watchers: 13
- Forks: 61
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
### 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](https://arxiv.org/pdf/1611.02049v1.pdf)
### 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]](
https://archive.ics.uci.edu/ml/datasets/UJIIndoorLoc).
Note: If you see mistakes or want to suggest changes, please submit a pull request.