Develop a novel technique for a virtual reality environment

Koun Tem Sun, Chun Huang Wang, Yi Chun Lin, Yueh Min Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In recent years, 3D virtual reality technology has been growing fast. The user interface of the Internet is facing a new challenge. Many organizations have begun to propose various kinds of specifications and standards for Web3D. The specification draft of VRML1.0 was proposed in 1994. In 2000, Java3D, Extensible 3D (X3D) and MPEG-4 Binary Format for Scene (BIFS) were formally included as important components of Web3D development by the Web3D Consortium. Quickly developing information science and technology have been shortening the half-life of knowledge. The time and the cost have become important factors in developing programs and software. Among all kinds of platforms and compiling devices, the portable bytecode of Java can reduce the waste caused by different platforms. Java technology is growing up, and its compression and security technology have improved in recent years. All of these aspects serve in making Java extremely competitive in the future. This research uses Java and Java3D API to develop a Web3D virtual reality learning environment, and proposes the development of techniques and praxis from four aspects; the virtual scene construction, learning history record, file compression technology, and security. Designers will be able to use this particular VR as a reference for developing Web3D virtual reality in the future.

Original languageEnglish
Title of host publication2008 International Joint Conference on Neural Networks, IJCNN 2008
Pages1103-1107
Number of pages5
DOIs
Publication statusPublished - 2008 Nov 24
Event2008 International Joint Conference on Neural Networks, IJCNN 2008 - Hong Kong, China
Duration: 2008 Jun 12008 Jun 8

Publication series

NameProceedings of the International Joint Conference on Neural Networks

Other

Other2008 International Joint Conference on Neural Networks, IJCNN 2008
CountryChina
CityHong Kong
Period08-06-0108-06-08

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence

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