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Demo: Collaborative Mixed-Reality-Based Firefighter Training

  • Zhanchen Dong
  • , Jiangong Chen
  • , Bin Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Wireless collaborative mixed reality (WCMR) has many fascinating applications in education, training, manu-facturing, and gaming. In this demo, we develop a WCMR-based firefighter training system that provides firefighters with experiences in extreme and diverse fire accidents without any safety concerns. In such a system, it is important to ensure that all firefighters can see almost the same status of the fire accident to facilitate collaborative training. This is challenging due to the heterogeneous communication delays of different network users. We propose the latency compensation algorithm that determines when the edge server should transmit the message to users based on the estimated latency of each user. Our experiment demon-strates around 55% synchronization performance improvement while guaranteeing at least 60 frames per second (FPS).

Original languageEnglish (US)
Title of host publicationIEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665494274
DOIs
StatePublished - 2023
Event2023 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023 - Hoboken, United States
Duration: May 20 2023May 20 2023

Publication series

NameIEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023

Conference

Conference2023 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023
Country/TerritoryUnited States
CityHoboken
Period5/20/235/20/23

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Safety, Risk, Reliability and Quality

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