Beyond indoor presence monitoring with simple sensors

Tuan Anh Nguyen*, Marco Aiello

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

44 Citations (Scopus)

Abstract

To have buildings that are able to adapt to the user needs and at the same time to operate efficiently, it is essential to know the activity the people are performing. Presence sensors, which are widely deployed in modern buildings, attempt to regulate lighting to the presence of people in indoor spaces. Though, much more in terms of comfort and energy efficiency can be achieved if more detailed information on the activity of the users is detected. In this paper, we provide an initial investigation on detecting indoor activities by using simple sensors (infrared, pressure and acoustic) deliberately avoiding the use of rich sensors such as cameras. The sensors are low-cost, wireless, and retrofittable in existing structures. Our prototype is able to recognize five activities (working at a desk with or without a PC, having a meeting, and the presence/absence in the office) with accuracy of almost 95%, while unaffecting user's behavior and comfort.

Original languageEnglish
Title of host publicationPECCS 2012
Subtitle of host publicationProceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems
EditorsCésar Benavente-Peces, Falah Ali, Joaquim Filipe
Place of PublicationSetúbal, Portugal
PublisherSciTePress
Pages5-14
Number of pages10
Volume1
ISBN (Print)9789898565006
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2nd International Conference on Pervasive Embedded Computing and Communication Systems, PECCS 2012 - Rome, Italy
Duration: 24 Feb 201226 Feb 2012

Other

Other2nd International Conference on Pervasive Embedded Computing and Communication Systems, PECCS 2012
CountryItaly
CityRome
Period24/02/1226/02/12

Keywords

  • context-awareness
  • activity recognition
  • energy-awareness
  • wireless sensor networks

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