Occupancy detection in commercial buildings using opportunistic context sources

Accurate occupancy information in commercial buildings can enable several useful applications such as energy management and dynamic seat allocation. Most prior efforts in this space depend on deploying an additional network of deeply coupled sensors to gather occupancy details. This paper presents a...

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Bibliographic Details
Published in2012 IEEE International Conference on Pervasive Computing and Communications Workshops pp. 463 - 466
Main Authors Ghai, S. K., Thanayankizil, L. V., Seetharam, D. P., Chakraborty, D.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2012
Subjects
Accuracy
Buildings
Calendars
Context
Context Aware
Energy Management
IEEE 802.11 Standards
Occupancy Detection
Sensors
Smart Buildings
Soft Sensors
Vectors
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ISBN1467309052
9781467309059
DOI10.1109/PerComW.2012.6197536

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Summary:Accurate occupancy information in commercial buildings can enable several useful applications such as energy management and dynamic seat allocation. Most prior efforts in this space depend on deploying an additional network of deeply coupled sensors to gather occupancy details. This paper presents a novel approach for occupancy detection using only context sources that are commonly available in commercial buildings such as area access badges, Wi-Fi access points, Calendar and Instant Messaging clients. We present models to conduct a situation-centric profiling using such sources and evaluate results of those models. Through a pilot study of a building floor with 5 volunteers for 6 weeks, we demonstrate the potential for detecting occupancies with accuracy as high as 90%.
ISBN:1467309052
9781467309059
DOI:10.1109/PerComW.2012.6197536