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

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.

[1]  J.C. Lin.  Noninvasive microwave measurement of respiration , 1975, Proceedings of the IEEE.

[2]  D. Picard.  Testing and estimating change-points in time series , 1985, Advances in Applied Probability.

[3]  C. Torrence,et al.  A Practical Guide to Wavelet Analysis. , 1998 .

[4]  Upmanu Lall,et al.  A k‐nearest‐neighbor simulator for daily precipitation and other weather variables , 1999 .

[5]  Wen-Rong Wu,et al.  Feedback median filter for robust preprocessing of glint noise , 2000, IEEE Trans. Aerosp. Electron. Syst..

[6]  Michel Vacher,et al.  Information extraction from sound for medical telemonitoring , 2006, IEEE Transactions on Information Technology in Biomedicine.

[7]  P.P. Joshi,et al.  Localized performance-guided reconfiguration for distributed sensor networks , 2007, Proceedings 2007 IEEE SoutheastCon.

[8]  Huiru Zheng,et al.  Human Activity Detection in Smart Home Environment with Self-Adaptive Neural Networks , 2008, 2008 IEEE International Conference on Networking, Sensing and Control.

[9]  Hans-Hermann Bock,et al.  Origins and extensions of the -means algorithm in cluster analysis. , 2008 .

[10]  Damien Brulin,et al.  Position estimation and fall detection using visual receding horizon estimation , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[11]  Daniel Esteve,et al.  Remote tracking patients in retirement home using wireless multisensor system , 2010, The 12th IEEE International Conference on e-Health Networking, Applications and Services.

[12]  Qi Hao,et al.  Distributed multiple human tracking with wireless binary pyroelectric infrared (PIR) sensor networks , 2010, 2010 IEEE Sensors.

[13]  Toufik Guettari,et al.  Multimodal localization in the context of a medical telemonitoring system , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[14]  Cui Hong-fang,et al.  ARMA Model Parameter Optimized Estimate Method , 2010, 2010 First ACIS International Symposium on Cryptography, and Network Security, Data Mining and Knowledge Discovery, E-Commerce and Its Applications, and Embedded Systems.

[15]  A. Abdel-azim.  Fundamentals of Heat and Mass Transfer , 2011 .

[16]  Quynh Lê,et al.  Smart Homes for Older People: Positive Aging in a Digital World , 2012, Future Internet.

[17]  Claude Sammut,et al.  Variance-wise Segmentation for a Temporal-Adaptive SAX , 2012, AusDM.

[18]  Zdzislaw Kowalczuk,et al.  EBE: Elastic blob ensemble for coarse human tracking , 2012, 2012 19th IEEE International Conference on Image Processing.