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