Paper Info
Title
A Big Bang-Big Crunch Type-2 Fuzzy Logic System for Machine Vision-Based Event Detection and Summarization in Real-world Ambient Assisted Living
Abstract
The area of Ambient Assisted Living (AAL) focuses on developing new technologies which can improve the quality of life and care provided to elderly and disabled people. In this paper, we propose a novel system based on 3D RGB-D vision sensors and Interval Type-2 Fuzzy Logic based Systems (IT2FLSs) employing the Big Bang Big Crunch (BB-BC) algorithm for the real time automatic detection and summarization of important events and human behaviours from the large-scale data. We will present several real world experiments which were conducted for AAL related behaviours with various users. It will be shown that the proposed BB-BC IT2FLSs outperforms the Type-1 FLSs (T1FLSs) counterpart as well as other conventional non-fuzzy methods, and the performance improvement rises when the amount of subjects increases.
Year
DOI
Venue
2016
10.1109/TFUZZ.2016.2514366
IEEE Transactions Fuzzy Systems
Keywords
DocType
Volume
3D machine vision,Interval Type-2 fuzzy logic systems,event summarization
Journal
PP
Issue
ISSN
Citations 
99
1063-6706
3
PageRank 
References 
Authors
0.40
28
4
Name
Order
Citations
PageRank
B. Yao130.40
Hani Hagras21747129.26
Daniyal M. Alghazzawi37819.62
M. J. Alhaddad430.40