1. Pervasive Radar Social Collaborative Augmented Reality Tool Presented By: Muthanna Abdulhussein M7012 Pervasive Computing Final Project Presentation

2. The power of Mobile Augmented Reality: Buzz That takes off …

3. Outline  Project Description  Project Architecture  Methodology  Demo  Problems&Solutions  Learned Lessons  Future Research

4. Project Description  Augmented reality view of social network objects.  Augmented reality view of Points of interests.  Mixing computer data with real world.  Linking Media API to social network objects.

5. Project Architecture Geo-Coded Data

6. Methodology  Android Platform.  Distance of each detected object is calculated using great circle distance theory.  3X3 matrix for latitude and longitude of all objects using GPS sensor.  The marked objects are squeezed to certain width and height.  JSON or XML URL transformable Data.

7. Methodology  Special filtration process to select the objects within specified radius and up to 80 Km.

8. Methodology  The mix with social networks: - Twitter and Google Buzz as social networks. - Twitter Search API deployment. - Geo-coded Tweets URL transformable.

9. Methodology  Showing nearest Point of interests. - Subway stations

10. Methodology  MapView of the detected objects - Google Maps API - Array List Of itemized Relay objects - Open Street Maps Library to show on map.

11. Demo

12. Problems&Solutions  Augmented reality mode is not showing any object.  User has to check the interested Data Sources each time the application is launched. - see weather the application is launched for the first time or not. - Check point Piece of code is added to differentiate between two cases.

13. Learned Lessons  Effect of mixing social networks with augmented reality.  Implementing augmented reality tool using smart phones sensors information.

14. Future Research  Including other social networks like facebook and Linked in.  Embedding the Augmented reality view of pervasive with other more media sharing and location awareness services.

15. Thank You! Muthanna Abdulhussein LTU mutabd-0@student.ltu.se