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
Link To Document :
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