1st Intenational ICST Conference on Immersive Telecommunications & Workshops

Research Article

Towards Modeling Human Arm Movement in a CVE

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  • @INPROCEEDINGS{10.4108/ICST.IMMERSCOM2007.2082,
        author={Fred Stakem and Ghassan AlRegib and Biing-Hwang (Fred) Juang},
        title={Towards Modeling Human Arm Movement in a CVE},
        proceedings={1st Intenational ICST Conference on Immersive Telecommunications \& Workshops},
        proceedings_a={IMMERSCOM},
        year={2010},
        month={5},
        keywords={Collaborative Virtual Environment Virtual Worlds Networking},
        doi={10.4108/ICST.IMMERSCOM2007.2082}
    }
    
  • Fred Stakem
    Ghassan AlRegib
    Biing-Hwang (Fred) Juang
    Year: 2010
    Towards Modeling Human Arm Movement in a CVE
    IMMERSCOM
    ICST
    DOI: 10.4108/ICST.IMMERSCOM2007.2082
Fred Stakem1,*, Ghassan AlRegib1,*, Biing-Hwang (Fred) Juang2,*
  • 1: Georgia Institute of Technology 210 Technology Circle Savannah, GA 31407
  • 2: Georgia Institute of Technology 777 Atlantic Drive Atlanta, GA 30332
*Contact email: fstakem@gatech.edu, gregib@ece.gatech.edu, juang@ece.gatech.edu

Abstract

Although Collaborative Virtual Environments share many characteristics in common with first person 3D games, CVEs strive for a deeper level of immersion by networking together individuals with more natural input devices. More complex input devices such as data gloves and positional trackers have additional processing delay and when compounded with network delay can cause CVE applications to lag and become jerky. The purpose of this experiment was to measure and model typical movements from users utilizing data gloves and positional trackers so that algorithms can be designed to help combat the inherent delay and jitter in a CVE. Most movements studied were shown to have a rough Gaussian shaped speed profile, but intricate manipulative movements exhibited greater peaks and valleys than typical reaching movement.