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Towards Pervasive
Augmented Reality:
Context-Awareness in AR
AMEYA VIJAY GOKHALE
14070121505
B.TECH(IT) 2014-18
About The Paper
 Authors: Jens Grubert, Tobias Langlotz, Stefanie
Zollmann and Holger Regenbrecht
 Published In: IEEE Transactions on Visualization and
Computer Graphics ( Volume: 23, Issue: 6, June 1
2017 )
 Date of Publication: 17 March 2016
 Number Of References: 148
Overview
 Introduction & Abstract
 Background
 Pervasive Augmented Reality
 Methodology
 Survey of Existing Approaches
 Future Scope
Introduction
 Augmented Reality – overlay of digital information
 Normally, for a single purpose and for a short time
 Pervasive/Ubiquitous Computing
 Continuous AR Experience -> PAR
Background
 Characteristics of AR:
- Combination of Virtual and Physical Elements
- Interactive in Real-time
- Visible in 3D
 Components of AR:
- Tracking Component
- Rendering Component
- Interaction Component
 Classifications Of AR:
- Stationary
- Mobile
Context Awareness
 Gather information about its environment at any
given time and adapt behaviours accordingly.
 Primary Context Factors:
- Location
- Identity
- Activity
- Time
Pervasive Augmented
Reality
 Moving from AR to PAR – from specific purposes
to an always-accessible, universal information
and communication interface.
 Integrating Larger group of Factors
 Continuous Information Overlay for Everyone.
 PAR characteristics:
- Continuous
- Present Everywhere
- Universal Interface
AR VS PAR
Augmented Reality Pervasive Augmented Reality
Scattered Universal
User Controlled Context Controlled
General Purpose Tailored for Each User
Task Driven Context Driven
Methodology
 Classifying into Context Sources & Targets
 Context Sources:
- Human Factor - Personalised for Each User
- Environmental Factor - Infrastructure
- System Factor – Computation, Battery Consumption
 Context Targets:
- Providing Data According to the need
Survey & Result
 Different System Inputs:
- Hybrid UI (AR + VR)
- Smart Phones
- Wearables
 Different System Configurations:
- Data Integration – sensors & devices
- Computation Modes – local & remote
 Different System Outputs:
- Content – Routes, Displays
- Presentation – Precision Overlay, Selected Items
Future Scope
 Low Power and Computation Usage by AR
interface
 Fast and Customisable HUD
 Shared AR
 Socially aware with Privacy
THANK YOU

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Towards Pervasive Augmented Reality

  • 1. Towards Pervasive Augmented Reality: Context-Awareness in AR AMEYA VIJAY GOKHALE 14070121505 B.TECH(IT) 2014-18
  • 2. About The Paper  Authors: Jens Grubert, Tobias Langlotz, Stefanie Zollmann and Holger Regenbrecht  Published In: IEEE Transactions on Visualization and Computer Graphics ( Volume: 23, Issue: 6, June 1 2017 )  Date of Publication: 17 March 2016  Number Of References: 148
  • 3. Overview  Introduction & Abstract  Background  Pervasive Augmented Reality  Methodology  Survey of Existing Approaches  Future Scope
  • 4. Introduction  Augmented Reality – overlay of digital information  Normally, for a single purpose and for a short time  Pervasive/Ubiquitous Computing  Continuous AR Experience -> PAR
  • 5. Background  Characteristics of AR: - Combination of Virtual and Physical Elements - Interactive in Real-time - Visible in 3D  Components of AR: - Tracking Component - Rendering Component - Interaction Component  Classifications Of AR: - Stationary - Mobile
  • 6. Context Awareness  Gather information about its environment at any given time and adapt behaviours accordingly.  Primary Context Factors: - Location - Identity - Activity - Time
  • 7. Pervasive Augmented Reality  Moving from AR to PAR – from specific purposes to an always-accessible, universal information and communication interface.  Integrating Larger group of Factors  Continuous Information Overlay for Everyone.  PAR characteristics: - Continuous - Present Everywhere - Universal Interface
  • 8. AR VS PAR Augmented Reality Pervasive Augmented Reality Scattered Universal User Controlled Context Controlled General Purpose Tailored for Each User Task Driven Context Driven
  • 9. Methodology  Classifying into Context Sources & Targets  Context Sources: - Human Factor - Personalised for Each User - Environmental Factor - Infrastructure - System Factor – Computation, Battery Consumption  Context Targets: - Providing Data According to the need
  • 10. Survey & Result  Different System Inputs: - Hybrid UI (AR + VR) - Smart Phones - Wearables  Different System Configurations: - Data Integration – sensors & devices - Computation Modes – local & remote  Different System Outputs: - Content – Routes, Displays - Presentation – Precision Overlay, Selected Items
  • 11. Future Scope  Low Power and Computation Usage by AR interface  Fast and Customisable HUD  Shared AR  Socially aware with Privacy