Research Output

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

  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.

  • Date:

    31 August 2017

  • Publication Status:


  • Publisher

    KSI Research Inc. and Knowledge Systems Institute Graduate School

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    006.3 Artificial intelligence

  • Funders:

    Edinburgh Napier Funded


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



Home automation, rule mining, smart home, artificial intelligence, expert system, cyber physical system

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