Predicting room occupancy with a single Passive infrared (PIR) sensor through behavior extraction

Yordan P. Raykov, Emre Ozer, Ganesh Dasika, Alexis Boukouvalas, Max A. Little

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Passive infrared sensors have widespread use in many applications, including motion detectors for alarms, lighting systems and hand dryers. Combinations of multiple PIR sensors have also been used to count the number of humans passing through doorways. In this paper, we demonstrate the potential of the PIR sensor as a tool for occupancy estimation inside of a monitored environment. Our approach shows how flexible nonparametric machine learning algorithms extract useful information about the occupancy from a single PIR sensor. The approach allows us to understand and make use of the motion patterns generated by people within the monitored environment. The proposed counting system uses information about those patterns to provide an accurate estimate of room occupancy which can be updated every 30 seconds. The system was successfully tested on data from more than 50 real office meetings consisting of at most 14 room occupants.

Original languageEnglish
Title of host publicationUbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Pages1016-1027
Number of pages12
ISBN (Electronic)9781450344616
DOIs
Publication statusPublished - 12 Sept 2016
Event2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016 - Heidelberg, Germany
Duration: 12 Sept 201616 Sept 2016

Publication series

NameUbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Conference

Conference2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016
Country/TerritoryGermany
CityHeidelberg
Period12/09/1616/09/16

Keywords

  • Behavior extraction
  • Monitoring
  • Occupancy estimation
  • PIR sensors

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