A new hybrid and dynamic fusion of multiple experts for intelligent porch system

NCUIR > College of Electrical Engineering & Computer Science > Department of Computer Science and information Engineering > journal & Dissertation > Item 987654321/106063

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106063

Title:	A new hybrid and dynamic fusion of multiple experts for intelligent porch system
Authors:	王家慶;Kuan, Ta-Wen;Tsai, Hsin-Chun;Wang, Jhing-Fa;Wang, Jia-Ching;Chen, Bo-Wei;Lin, Zong-You
Contributors:	資訊電機學院資訊工程學系
Keywords:	Audio-visual expert;Authentication;Automation;Dynamic tests;Dynamical systems;Dynamics;Fusion;Indoor;Intelligent system;Outdoor;Priorities;Recognition;Voting
Date:	2012-08-01
Issue Date:	2026-04-23 13:07:02 (UTC+8)
Publisher:	Elsevier Ltd.;Elsevier Ltd
Abstract:	摘要： ► We proposed two novel fusion approaches for intelligent porch development. ► We designed an inexpensive and unobtrusive multi-modal expert system for smart home. ► We proposed an intelligent indoor and outdoor interactive system for home users. ► The audio-visual experts including speaker, speech, face and height expert. ► The contribution developed an identity recognition system in a natural way. Intelligent porch research is an important issue in smart home development; however, such a field was rarely investigated in the literature. This investigation proposes a new hybrid and dynamic fusion of multiple experts for the intelligent porch system. First, a new hybrid priority tree with decision fusion (HPTD-fusion) is proposed to eliminate the problems of tag-based authentication outdoors. The HPTD-fusion first verifies the vocal entrance code (VEC), and subsequently the remaining experts are performed in the cases of AND, OR or majority voting for decision fusion. Second, the post-mapping dynamic weighted fusion (PMDW-fusion) scheme is presented to adapt the indoor porch audio-visual environment. The PMDW-fusion dynamically assigns the higher weight to experts with higher performance, and then sums all participating experts for score fusion. The experimental results demonstrate that FRR and FAR can reach up to 0.18 and 0.19, respectively, when the system is tested in the outdoor environment. Furthermore, the indoor recognition accuracy can be increased to 86.1% using the proposed fusion scheme. The experiments have verified the effectiveness and feasibility of the proposed system. Restated, the contribution of this work is to develop a novel intelligent porch system incorporating a natural and unobtrusive method for identity recognition. The proposed system has been installed and tested in a real-world environment in the Technologies for Ubiquitous Computing and Humanity (TOUCH) Center at National Cheng Kung University. 出版者： Elsevier Ltd 出版日期： 2012-08 出處： Expert systems with applications, 2012-08, Vol.39 (10), p.9288-9296 版權： 2012 Elsevier Ltd 識別號： ISSN: 0957-4174 識別號： EISSN: 1873-6793 識別號： DOI: 10.1016/j.eswa.2012.02.075
Appears in Collections:	[Department of Computer Science and information Engineering] journal & Dissertation

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	19	View/Open

社群 sharing

Loading...