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Multi-criteria infrastructure for location-based applications Shortly known as: Localization Platform Ronen Abraham Ido Cohen Yuval Efrati Tomer Sole'

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Presentation on theme: "Multi-criteria infrastructure for location-based applications Shortly known as: Localization Platform Ronen Abraham Ido Cohen Yuval Efrati Tomer Sole'"— Presentation transcript:

1 Multi-criteria infrastructure for location-based applications Shortly known as: Localization Platform Ronen Abraham Ido Cohen Yuval Efrati Tomer Sole'

2 Background The new smartphones era has raised the need to support the location of every cell-phone user, in order to give him a better life experience with his device. These days many mobile devices have an internal GPS service that can ask the GPS server where the holder of the device is location at. This usage is very resource-heavy and wasteful to the user.

3 Project Goal "Localization Platform" is a framework for location-based applications. The purpose is to answer on common needs in this subject, using efficient and reliable implementations of location-based issues: Storing the present and past locations of every user in the application. Limiting the use of the following 4 parameters on the way: – battery life – network data plan – processing time – memory space

4 System Architecture Storage server Registered service Location recommendation Mock application Localization client Location-based application Legend: Communication Inheritance

5 Demo

6 Movie

7 Conclusions Sensor fusion is still a relatively new field. Although much academic research was made in this field, very little actual progress was done. We believe that this is a temporary situation. Some mobile operating systems may not be as open and flexible as Android to our ideas. The location prediction algorithm is still premature. While sensor fusion still seems inaccurate, some optimizations from it came as very useful: stay policy, straight line movement.

8 Summary The server protocol allows different clients from different operating systems Any improvement in the location estimation algorithms is within the methods of the existing framework (flexibility). We kept user input as minimal, but with little additions such as choosing his demographic group we can achieve far better location prediction results.

9 Thank You!


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