This repository contains the code associated with the Paper "VJAGG - A Thick Client Smart-Phone Journey Detection Algorithm". This includes:
- Android and iOS Application Code for the VJAGG app.
- Server-Side Code for storage and retrieval of data.
- Code and Data to generate the Result-Figures in the paper.
The Repository contains the following:
This is the license file for this repository. We distribute our code under the GNU GPLv3 license.
This is the Development code for the Android-side application. This is written in Java using the Android IDE and development environment. Details of the algorithms are in the paper.
This is the Development code for the iOS-side application. This is written in Swift, using the XCode development environment. The details of the algorithm are the same as for the android version up to some minor flow-control differences due to the different OS.
This is the server code for communicating with the applications. This includes a number of static linked libraries/utilities. The core code is written in C++.
A set of scripts to generate all the Figures in the paper, together with the associated data. These are written in python (3.6).
If you have any queries, contact the author via email at michael.p.camilleri@ed.ac.uk.