General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • E-mail: ijcte@iacsitp.com
    • Journal Metrics:

Editor-in-chief
Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2017 Vol.9(3): 185-191 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2017.V9.1135

Complex Event Processing for Intent Understanding in Virtual Environments

Sebai Mounir and Cheng Cheng

Abstract—Abstract—Virtual manufacturing environments need complex and accurate 3D human-computer interactions. Current virtual environments (VEs) suffer from one major issue which is the heavy loads of the users both on cognitive aspect and motor operational aspect. In order to solve this issue, the solution presented aims to increase both machine’s cognitive capability and the throughput of the system. This solution is mainly based on techniques and methods of a well-established field known as complex event processing (CEP). Our approach applies CEP to input events in multimodal systems, the events (State vector) which are produced in the system are received, filtered, aggregated or transformed into higher-level intents using a rule-based system. The experiments have shown that intent-driven software construction method and CEP (Complex Event Processing) have a great potential in both, enhancing the naturalness and efficiency of human-computer interactions (HCI) and increasing the throughput over low latency (increase the responsiveness of a system). It also can be considered as an effective analysis method for human-centered VE developments.

Index Terms—Index Terms—Complex event processing (CEP), human-computer-interaction (HCI), intent, multimodal input, virtual environment, virtual assembly.

Both authors are with the Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing 100081 PRC (e-mail: moumou2788@yahoo.fr, cc@bit.edu.cn/guoguocheng@vip.sina.com).

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Cite:Sebai Mounir and Cheng Cheng, "Complex Event Processing for Intent Understanding in Virtual Environments," International Journal of Computer Theory and Engineering vol. 9, no. 3, pp. 185-191, 2017.


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