@inproceedings{33aac0b1ff594d63989dd9ccb99488d5,
title = "Reducing latency in a collaborative augmented reality service",
abstract = "We show how inter-device location tracking latency can be reduced in an Augmented Reality (AR) service that uses Microsoft's HoloLens (HL) devices for multi-user collaboration. Specifically, we have built a collaborative AR system for a research greenhouse that allows multiple users to be able to work collaboratively to process and record information about individual plants in the greenhouse. In this system, we have combined the HL {"}world tracking{"} functionality together with marker-based tracking to develop a onefor- A ll-shared-experience (OFALL-SE) dynamic object localization service. We compare this OFALL-SE service with the traditional Local Anchor Transfer (LAT) method for managing shared experiences and show that latency of data transmission throughout the server and users can be dramatically reduced. Our results indicate that OFALL-SE can support near-real-time collaboration when sharing the physical locations of the plants among users in a greenhouse.",
keywords = "Augmented Reality, Collaborative, Interface, Latency",
author = "Wennan He and Ben Swift and Henry Gardner and Mingze Xi and Matt Adcock",
note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 17th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry, VRCAI 2019 ; Conference date: 14-11-2019 Through 16-11-2019",
year = "2019",
month = nov,
day = "14",
doi = "10.1145/3359997.3365699",
language = "English",
series = "Proceedings - VRCAI 2019: 17th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry",
publisher = "Association for Computing Machinery (ACM)",
editor = "Spencer, {Stephen N.}",
booktitle = "Proceedings - VRCAI 2019",
address = "United States",
}