Reference : Sensing by Proxy in Buildings with Agglomerative Clustering of Indoor Temperature Mov...
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/29473
Sensing by Proxy in Buildings with Agglomerative Clustering of Indoor Temperature Movements
English
Li, Daoyuan mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Bissyande, Tegawendé François D Assise mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Klein, Jacques mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC) >]
Le Traon, Yves mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Apr-2017
The 32nd ACM Symposium on Applied Computing (SAC 2017)
Yes
International
The 32nd ACM Symposium on Applied Computing (SAC 2017)
from 03-04-2017 to 07-04-2017
Marrakesh
Morocco
[en] Sensing by proxy ; smart buildings ; occupancy inference
[en] As the concept of Internet of Things (IoT) develops, buildings are equipped with increasingly heterogeneous sensors to track building status as well as occupant activities. As users become more and more concerned with their privacy in buildings, explicit sensing techniques can lead to uncomfortableness and resistance from occupants. In this paper, we adapt a sensing by proxy paradigm that monitors building status and coarse occupant activities through agglomerative clustering of indoor temperature movements. Through extensive experimentation on 86 classrooms, offices and labs in a five-story school building in western Europe, we prove that indoor temperature movements can be leveraged to infer latent information about indoor environments, especially about rooms' relative physical locations and rough type of occupant activities. Our results evidence a cost-effective approach to extending commercial building control systems and gaining extra relevant intelligence from such systems.
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/10993/29473
10.1145/3019612.3019699

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
li2017sensing.pdfAuthor preprint665.76 kBView/Open

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.