A wireless kinect sensor network system for virtual reality applications

Mengxuan Li, Wei Song, Liang Song, Kaisi Huang, Yulong Xi, Kyungeun Cho

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Currently, Microsoft Kinect, a motion sensing input device, has been developed quickly in research for human gesture recognition. The Kinect integrating into games and Virtual Reality (VR) improves the immersion sense and natural user experience. However, the Kinect is able to accurately measure a user within five meters, while the user must face to the sensor. To solve this problem, this paper develops a wireless Kinect sensor network system to detect users at several viewports. This system utilizes multiple Kinect clients to sense user's gesture information, which is transmitted to a VR managing server for the integration of the distributed sensing datasets. Different from the VR application with a single Kinect, our proposed system is able to support the user's walking around no matter whether he is facing the sensors or not. Meanwhile, we developed a virtual boxing VR game with two Kinects, Samsung Gear VR and Unity3D environment, which verified the effective performance of the proposed system.

Original languageEnglish
Title of host publicationAdvances in Computer Science and Ubiquitous Computing - CSA-CUTE2016
EditorsVincenzo Loia, James J. Jong Hyuk Park, Gangman Yi, Yi Pan
PublisherSpringer Verlag
Pages61-65
Number of pages5
ISBN (Print)9789811030222
DOIs
StatePublished - 2017
Event11th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2016 - Bangkok, Thailand
Duration: 19 Dec 201621 Dec 2016

Publication series

NameLecture Notes in Electrical Engineering
Volume421
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference11th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2016
Country/TerritoryThailand
CityBangkok
Period19/12/1621/12/16

Keywords

  • Kinect
  • Sensor selection
  • Virtual reality
  • Wireless sensor network

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