Yao, B and Hagras, H and Alghazzawi, D and Alhaddad, MJ (2016) A Big Bang–Big Crunch Type-2 Fuzzy Logic System for Machine-Vision-Based Event Detection and Summarization in Real-World Ambient-Assisted Living. IEEE Transactions on Fuzzy Systems, 24 (6). pp. 1307-1319. DOI https://doi.org/10.1109/TFUZZ.2016.2514366
Yao, B and Hagras, H and Alghazzawi, D and Alhaddad, MJ (2016) A Big Bang–Big Crunch Type-2 Fuzzy Logic System for Machine-Vision-Based Event Detection and Summarization in Real-World Ambient-Assisted Living. IEEE Transactions on Fuzzy Systems, 24 (6). pp. 1307-1319. DOI https://doi.org/10.1109/TFUZZ.2016.2514366
Yao, B and Hagras, H and Alghazzawi, D and Alhaddad, MJ (2016) A Big Bang–Big Crunch Type-2 Fuzzy Logic System for Machine-Vision-Based Event Detection and Summarization in Real-World Ambient-Assisted Living. IEEE Transactions on Fuzzy Systems, 24 (6). pp. 1307-1319. DOI https://doi.org/10.1109/TFUZZ.2016.2514366
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 3-D RGB-D vision sensors and interval type-2 fuzzy-logic-based systems (IT2FLSs) employing the big bang-big crunch algorithm for the real-time automatic detection and summarization of important events and human behaviors from the large-scale data. We will present several real-world experiments, which were conducted for AAL-related behaviors with various users. It will be shown that the proposed BB-BC IT2FLSs outperform the type-1 fuzzy logic system counterparts as well as other conventional nonfuzzy methods, and the performance improves when the number of subjects increases.
Item Type: | Article |
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Uncontrolled Keywords: | Event summarization; interval type-2 fuzzy logic systems (IT2FLS); 3-D machine vision |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 15 Mar 2016 16:36 |
Last Modified: | 16 May 2024 17:09 |
URI: | http://repository.essex.ac.uk/id/eprint/16266 |
Available files
Filename: 07370923.pdf