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Pervaisive radar presentation
Pervaisive radar presentation
Pervaisive radar presentation
Pervaisive radar presentation
Pervaisive radar presentation
Pervaisive radar presentation
Pervaisive radar presentation
Pervaisive radar presentation
Pervaisive radar presentation
Pervaisive radar presentation
Pervaisive radar presentation
Pervaisive radar presentation
Pervaisive radar presentation
Pervaisive radar presentation
Pervaisive radar presentation
Pervaisive radar presentation
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Pervaisive radar presentation

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  • 1. Pervasive RadarSocial Collaborative Augmented Reality Tool Presented By: Muthanna Abdulhussein M7012 Pervasive Computing Final Project Presentation
  • 2. The power of Mobile Augmented Reality: BuzzThat 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 circledistance theory. 3X3 matrix for latitude and longitude of all objects using GPSsensor. 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 specifiedradius 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 eachtime the application is launched. - see weather the application is launched for the firsttime or not. - Check point Piece of code is added to differentiatebetween two cases.
  • 13. Learned Lessons Effect of mixing social networks with augmentedreality. Implementing augmented reality tool using smartphones sensors information.
  • 14. Future ResearchIncluding other social networks like facebook andLinked in. Embedding the Augmented reality view of pervasivewith other more media sharing and location awarenessservices.
  • 15. Thank You!Muthanna Abdulhussein LTUmutabd-0@student.ltu.se

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