• DocumentCode
    252202
  • Title

    Cloud VR system with immersive interfaces to collect human gaze-controls and interpersonal-behaviors

  • Author

    Hagiwara, Y. ; Mizuchi, Y. ; Yongwoon Choi ; Inamura, T.

  • Author_Institution
    Nat. Inst. of Inf., Tokyo, Japan
  • fYear
    2014
  • fDate
    13-15 Dec. 2014
  • Firstpage
    169
  • Lastpage
    174
  • Abstract
    In this study, we present a cloud VR system with immersive interfaces for collecting human gaze-controls and interpersonal-behaviors. Human beings can log in to a VR space and naturally communicate with each other and a robot by using immersive interfaces. An HMD (Head Mounted Display) device and a Kinect sensor provide immersive visualization and motion control, respectively. If users have these devices, they can attend experiments with human-robot interactions in the VR space from around the world. Human gaze-controls and interpersonal-behaviors are collected to database while human beings and a robot interact with each other. The proposed VR system enables to collect huge number of human gaze-controls and interpersonal-behaviors by using immersive interfaces. Application experiments to learn object attributes from human beings and to observe greetings by two persons demonstrate the effectiveness of the proposed VR system to collect human gaze-controls and interpersonal-behaviors.
  • Keywords
    cloud computing; gaze tracking; helmet mounted displays; human-robot interaction; image sensors; motion control; robot vision; virtual reality; HMD device; Kinect sensor; VR space; VR system; cloud VR system; head mounted display device; human gaze-controls; human-robot interactions; immersive interfaces; immersive visualization; interpersonal behaviors; motion control; Avatars; Databases; Headphones; Positron emission tomography; Robot sensing systems; Three-dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Integration (SII), 2014 IEEE/SICE International Symposium on
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-1-4799-6942-5
  • Type

    conf

  • DOI
    10.1109/SII.2014.7028032
  • Filename
    7028032