Home automation: HMM based fuzzy rule engine for Ambient intelligent smart space

Singh Jamnal, Gopal; Liu, Xiaodong; Fan, Lu

Abstract

In this paper, we proposed a new type of decision making system to achieve the intelligent goal for automated smart environments. The artificial intelligence techniques, used as building blocks to understand inhabitant activity patterns. The collected information fused to a central inference engine based on Hidden Markov model and Fuzzy rules for taking appropriate actions to communicate and control various home appliances. We proposed a novel CASH (cognitive automated smart home) architecture, based on the Hidden Markov Model and the fuzzy rule based system. The Hidden Markov Model and fuzzy rules are well equipped to address the spatio-temporal activity pattern recognition problem and to trigger appropriate task execution rules.

Citation

Singh Jamnal, G., Liu, X., & Fan, L. (2017, July). Home automation: HMM based fuzzy rule engine for Ambient intelligent smart space. Presented at The 29th International Conference on Software Engineering and Knowledge Engineering

• Presentation Conference Type: Conference Paper (published)
• Conference Name: The 29th International Conference on Software Engineering and Knowledge Engineering
• Start Date: Jul 5, 2017
• End Date: Jul 7, 2017
• Acceptance Date: May 5, 2017
• Online Publication Date: Aug 31, 2017
• Publication Date: Aug 31, 2017
• Deposit Date: Nov 14, 2017
• Publicly Available Date: Nov 15, 2017
• Series Title: Software Engineering and Knowledge Sharing
• Series ISSN: 2325-9000
• Book Title: Proceedings of The 29th International Conference on Software Engineering and Knowledge Engineering
• Chapter Number: NA
• ISBN: 1-891706-41-1
• Keywords: Home automation, rule mining, smart home, artificial intelligence, expert system, cyber physical system
• Public URL: http://researchrepository.napier.ac.uk/Output/979206
• Contract Date: Nov 14, 2017