Thermal signal analysis in smart home environment for detecting a human presence

Author

Guettari, T. ; Boudy, J. ; Benkelfat, B.E. ; Chollet, Gerard ; Baldinger, J.L. ; Dore, P. ; Istrate, D.

Author_Institution

Inst. Mines-Telecom, Telecom ParisTech, Evry, France

fYear

2014

fDate

17-19 March 2014

Firstpage

334

Lastpage

339

Abstract

Smart Home environments [1] have become an important research topic in recent years. This paper deals with human presence detection using an ubiquitous sensor. Various solutions and supervision systems require to extract information regarding people present in the monitored environment. So both academic and industrial labs are interesting by this subject. More so than most other object-detection and sensing tasks, human-sensing is a challenging endeavor for a variety of reasons. To detect the person entering in a supervised environment several technical solutions based on large physical phenomena are available. Each researchers team use specific sensors with adapted techniques. Sensors choice is linked to supervision system aim.

Keywords

home computing; infrared detectors; object detection; human presence detection; information extraction; object detection task; object sensing task; smart home environment; thermal signal analysis; ubiquitous sensor; Adaptation models; Data mining; Data models; Estimation; Temperature measurement; Temperature sensors; Time series analysis; Classification; Human presence; Linear regression; Non linear regression; Rupture detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Technologies for Signal and Image Processing (ATSIP), 2014 1st International Conference on

Conference_Location

Sousse

Type

conf

DOI

10.1109/ATSIP.2014.6834631

Filename

6834631