Activity recognition for smart building application using complex event processing approach

Rabiah Adawiyah Shahad, Mohamad Hanif Md Saad, Aini Hussain

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Activity recognition has become one of the most interesting and challenging subjects in performing surveillance or monitoring of smart building system. Although there are several systems already available in the market, limitations and several unresolved issues remain, especially when it involves complex engineering applications. As such, activity recognition is purposely incorporated in the smart system to detect simple and complex events that happen in the building. In all existing event detections, the complex event processing (CEP) approach has been used for the detection of complex events. The CEP is capable of abstracting meaningful events from various and heterogeneous data sources, filtering and processing both simple and complex events, as well as, producing fast mitigation action based on specific scenarios. The work reported in this paper intends to explain in detail on the development of activity recognition application using CAISER™ and NESPER

Original languageEnglish
Pages (from-to)315-322
Number of pages8
JournalInternational Journal on Advanced Science, Engineering and Information Technology
Volume8
Issue number2
DOIs
Publication statusPublished - 1 Jan 2018

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Intelligent buildings
Information Storage and Retrieval
monitoring
Processing
engineering
markets
Monitoring

Keywords

  • Complex event processing
  • Matthew Coefficient Correlation
  • Multi-layered event detector
  • Smart building
  • Surveillance system

ASJC Scopus subject areas

  • Computer Science(all)
  • Agricultural and Biological Sciences(all)
  • Engineering(all)

Cite this

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