Thermal signal analysis in smart home environment for detecting a human presence
Autor: | Pascal Doré, T. Guettari, J L. Baldinger, Badr-Eddine Benkelfat, Jerome Boudy, Gérard Chollet, Dan Istrate |
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Přispěvatelé: | Département Electronique et Physique (EPH), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Centre National de la Recherche Scientifique (CNRS), Traitement de l'Information Pour Images et Communications (TIPIC-SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Réseaux, Systèmes, Services, Sécurité (R3S-SAMOVAR), DIST Recherche & Développement (Legrand France) (LEGRAND), École spéciale de mécanique et d'électricité (ESME Sudria) |
Rok vydání: | 2014 |
Předmět: |
Signal processing
Computer science business.industry Data science Linear and nonlinear regression Variety (cybernetics) Data modeling Important research Classification techniques Rupture detection Human presence Home automation Physical phenomena business [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
Zdroj: | ATSIP Proceedings ATSIP 2014 : 1st International Conference on Advanced Technologies for Signal and Image Processing ATSIP 2014 : 1st International Conference on Advanced Technologies for Signal and Image Processing ATSIP 2014 : 1st International Conference on Advanced Technologies for Signal and Image Processing, Mar 2014, Sousse, Tunisia. pp.334-339, ⟨10.1109/ATSIP.2014.6834631⟩ |
Popis: | International audience; Smart Home environments 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 |
Databáze: | OpenAIRE |
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