Personalized augmented reality via fog-based imitation learning


Conference Paper

© 2019 ACM. Augmented reality (AR) technologies are rapidly gaining momentum in society and are expected to play a critical role in the future of cities and transportation. In such dynamic settings with a heterogeneous population of AR users, it is important for holograms to be placed in the surrounding environment with regard to the users' preferences. However, the area of AR personalization remains largely unexplored. This paper proposes to use behavioral cloning, an algorithm for imitation learning, as a means of automatically generating policies that capture user preferences of hologram positioning. We argue in favor of employing the fog computing paradigm to minimize the volume of data sent to the cloud, and thereby preserve user privacy and increase both communication efficiency and learning efficiency. Through preliminary results obtained with a custom, Unity-based AR simulator, we demonstrate that user-specific policies can be learned quickly and accurately.

Full Text

Duke Authors

Cited Authors

  • Ahn, S; Gorlatova, M; Naghizadeh, P; Chiang, M

Published Date

  • April 15, 2019

Published In

  • Iot Fog 2019 Proceedings of the 2019 Workshop on Fog Computing and the Iot

Start / End Page

  • 11 - 15

International Standard Book Number 13 (ISBN-13)

  • 9781450366984

Digital Object Identifier (DOI)

  • 10.1145/3313150.3313219

Citation Source

  • Scopus