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A Group Activity Analysis Method Based on Immersive Virtual Scene

Published: 24 October 2018 Publication History

Abstract

Group activity analysis is important for crowd behavior researches and emergency decision-making. Great challenges exist in the modeling, simulation and experiments of group activity researches. The immersive virtual scene can provide new ideas and methods for crowd group activity analysis. This paper proposes a research method for group activity analysis based on immersive virtual reality techniques. A prototype system is designed and a bidirectional walk way of a large shopping mall is adopted as case study area. Finally, we compare the data collected from real crowd activities and the experiment data collected from virtual reality scene, to verify the reliability of the proposed method.

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Shen S, Gong J, Liang J, et al. A Heterogeneous Distributed Virtual Geographic Environment-Potential Application in Spatiotemporal Behavior Experiments. ISPRS Int. J. Geo-Information 2018, 7, 54.
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Hui Lin, Min Chen, Guonian Lu(2013) Virtual Geographic Environment: A Workspace for Computer-Aided Geographic Experiments, Annals of the Association of American Geographers, 103:3, 465--482.
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Min Chen, Hui Lin (2018) Virtual geographic environments (VGEs):originating from or beyond virtual reality (VR)?, International Journal of Digital Earth, 11:4, 329--333
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  1. A Group Activity Analysis Method Based on Immersive Virtual Scene

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    cover image ACM Other conferences
    BDIOT '18: Proceedings of the 2018 2nd International Conference on Big Data and Internet of Things
    October 2018
    217 pages
    ISBN:9781450365192
    DOI:10.1145/3289430
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • Deakin University

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 24 October 2018

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    Author Tags

    1. Crowd Group Activity Analysis
    2. Emergency Management
    3. Immersive VR
    4. Virtual Geographic Environment
    5. Virtual Geographic Experiments

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    • Research-article
    • Research
    • Refereed limited

    Funding Sources

    • the National Key Research and Development Program of China
    • the Opening Fund of Key Laboratory of Poyang Lake Wetland and Watershed Research (Jiangxi Normal University), Ministry of Education
    • the National Natural Science Foundation of China

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    BDIOT 2018

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    Overall Acceptance Rate 75 of 136 submissions, 55%

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