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 language | English |
|---|---|
| Pages (from-to) | 315-322 |
| Number of pages | 8 |
| Journal | International Journal on Advanced Science, Engineering and Information Technology |
| Volume | 8 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Jan 2018 |
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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
Activity recognition for smart building application using complex event processing approach. / Shahad, Rabiah Adawiyah; Md Saad, Mohamad Hanif; Hussain, Aini.
In: International Journal on Advanced Science, Engineering and Information Technology, Vol. 8, No. 2, 01.01.2018, p. 315-322.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Activity recognition for smart building application using complex event processing approach
AU - Shahad, Rabiah Adawiyah
AU - Md Saad, Mohamad Hanif
AU - Hussain, Aini
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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
AB - 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
KW - Complex event processing
KW - Matthew Coefficient Correlation
KW - Multi-layered event detector
KW - Smart building
KW - Surveillance system
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UR - http://www.scopus.com/inward/citedby.url?scp=85046551882&partnerID=8YFLogxK
U2 - 10.18517/ijaseit.8.2.2575
DO - 10.18517/ijaseit.8.2.2575
M3 - Article
AN - SCOPUS:85046551882
VL - 8
SP - 315
EP - 322
JO - International Journal on Advanced Science, Engineering and Information Technology
JF - International Journal on Advanced Science, Engineering and Information Technology
SN - 2088-5334
IS - 2
ER -