Abstract
Humans deeply modified their relationship to their housings during the past centuries. Once a shelter where humans could find protection and have rest, the living place successfully evolved to become the midpoint of the family, the expression of own culture and nowadays a more self centered place where individuals develop their own personal aspirations and express their social position. With the introduction of communication technologies, humans may become nomads again with the ability to stay connected with others in any place at any time but, as a paradox, we can observe a wide movement for “cocooning”. Among all the services a living place can bring to inhabitants, we may list comfort, security, wellness and also health services. Thus a new living place is to be invented, becoming the “witness” of our breath, perceiving the inhabitants rhythms of activities, habits, tastes and wishes. Eventually, the “smart home” become the “Health Smart Home” to enable the follow up of physical and health status and meet the new concepts of “Aging in place” and “citizen health care”. We listed some of the research projects in Health Smart Home, which were launched worldwide to discover they are mostly based on very basic sensors and simple algorithms. We experienced our own Health Smart Home to prove that temporal analysis of data output from simple presence sensors is already worthwhile. We first produced “ambulatograms”, a temporal representation of the daily activity gathered from the presence sensors, and then discovered regular patterns of activities which we named “circadian activity rhythms (car)”, the direct relationship between night and day level of activities and also the information contained in periods of inactivity. We now concentrate on the automatic recognition of the daily Activities with multiple sensor fusions methods.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
T. Tamura, T. Togawa, M. Ogawa, and M. Yoda, Fully automated health monitoring system in the home, Med Eng Phys. 20(8), 573–579 (Nov, 1998).
T. Tamura, A. Kawarada, M. Nambu, A. Tsukada, K. Sasaki, and K. Yamakoshi, E-healthcare at an experimental welfare techno house in Japan, Open Med Inform J. 1, (2007).
T. Yamazaki. Ubiquitous home: real-life testbed for home context-aware service. In Proc. First Int. Conf. Testbeds and Research Infrastructures for the Development of Networks and Communities Tridentcom 2005, pp. 54–59, (2005). doi: 10.1109/TRIDNT.2005.37.
T. Mori, A. Takada, H. Noguchi, T. Harada, and T. Sato. Behavior prediction based on dailylife record database in distributed sensing space. In Proc. IEEE/RSJ Int. Conf. Intelligent Robots and Systems (IROS 2005), pp. 1703–1709, (2005). doi: 10.1109/IROS.2005.1545244.
Y. Nishida, T. Hori, T. Suehiro, and S. Hirai. Sensorized environment for self-communication based on observation of daily human behavior. In Proc. IEEE/RSJ Int. Conf. Intelligent Robots and Systems (IROS 2000), vol. 2, pp. 1364–1372, (2000). doi: 10.1109/IROS.2000.893211.
J.-S. Lee, K.-S. Park, and M.-S. Hahn.Windowactive: An interactive house window on demand. In Proc. 1st Korea-Japan Joint Workshop on Ubiquitous Computing and Networking Systems UbiCNS, pp. 481–484 (June, 2005).
Y. Oh and W. Woo. A unified application service model for ubihome by exploiting intelligent context-awareness. In Proc. of Second Intern. Symp. on Ubiquitous Computing Systems (UCS2004), Tokyo, pp. 117–122, (2004).
B. G. Celler, W. Earnshaw, E. D. Ilsar, L. Betbeder-Matibet, M. F. Harris, R. Clark, T. Hesketh, and N. H. Lovell, Remote monitoring of health status of the elderly at home. a multidisciplinary project on aging at the university of new south wales., Int J Biomed Comput. 40(2), 147–155 (Oct, 1995).
G. Williams, K. Doughty, and D. Bradley, A systems approach to achieving carernet-an integrated and intelligent telecare system, Information Technology in Biomedicine, IEEE Transactions on. 2(1), 1 –9 (march, 1998). ISSN 1089-7771. doi: 10.1109/4233.678527.
S. Richardson, D. Poulson, and C. Nicolle. Supporting independent living through adaptable smart home (ash) technologies. In Proc. Human welfare and technologies: papers from the human service information technology applications (HUSITA) conference on information technology and the quality of life and services, pp. 87–95, (1993).
A. Van Berlo. A “smart” model house as research and demonstration tool for telematics development. In Proc. 3rd TIDE Congres : Technology for Inclusive Design and Equality Improving the Quality of Life for the European Citizen, 23U˝ 25 June, Helsinki, Finland, (1998).
G. Elger and B. Furugren. “smartbo” - an ict and computer-based demonstration home for disabled people. In Proc. 3rd TIDE Congress : Technology for Inclusive Design and Equality Improving the Quality of Life for the European Citizen, 23U˝ 25 June, Helsinki, Finland, 1998., (1998).
N. Noury, T. Herve, V. Rialle, G. Virone, E. Mercier, G. Morey, A. Moro, and T. Porcheron. Monitoring behavior in home using a smart fall sensor and position sensors. In Proc. Conf Microtechnologies in Medicine and Biology, 1st Annual Int. On. 2000, pp. 607–610, (2000). doi: 10.1109/MMB.2000.893857.
M. Chan, C. Hariton, P. Ringeard, and E. Campo. Smart house automation system for the elderly and the disabled. In Proc. IEEE Int Systems, Man and Cybernetics Intelligent Systems for the 21st Century. Conf, vol. 2, pp. 1586–1589, (1995). doi: 10.1109/ICSMC.1995.537998.
M. Mozer. The adaptive house. In Proc. IEE Seminar (Ref Intelligent Building Environments No. 2005/11059), pp. 39–79, (2005).
A. P. Glascock and D. M. Kutzik, Behavioral telemedicine: A new approach to the continuous nonintrusive monitoring of activities of daily living, Telemedicine Journal. 6(1), 33–44, (2000). doi: 10.1089/107830200311833. URL http://www.liebertonline.com/doi/ abs/10.1089/107830200311833.
S. Das, D. Cook, A. Battacharya, I. Heierman, E.O., and T.-Y. Lin, The role of prediction algorithms in the mavhome smart home architecture, Wireless Communications, IEEE. 9(6), 77 – 84 (dec., 2002). ISSN 1536-1284. doi: 10.1109/MWC.2002.1160085.
S. Helal, W. Mann, H. El-Zabadani, J. King, Y. Kaddoura, and E. Jansen, The gator tech smart house: a programmable pervasive space, Computer. 38(3), 50–60, (2005). doi: 10.1109/MC. 2005.107.
C. D. Kidd, R. Orr, G. D. Abowd, C. G. Atkeson, I. A. Essa, B. MacIntyre, E. D. Mynatt, T. Starner, and W. Newstetter. The aware home: A living laboratory for ubiquitous computing research. In CoBuild ‘99: Proceedings of the Second International Workshop on Cooperative Buildings, Integrating Information, Organization, and Architecture, pp. 191–198, London, UK, (1999). Springer-Verlag. ISBN 3-540-66596-X.
J. Krumm, S. Harris, B. Meyers, B. Brumitt, M. Hale, and S. Shafer. Multi-camera multiperson tracking for easyliving. In Proc. Third IEEE Int Visual Surveillance Workshop, pp. 3–10, (2000). doi: 10.1109/VS.2000.856852.
S. S. Intille, Designing a home of the future, IEEE Pervasive Computing. 1(2), 76–82, (2002). ISSN 1536-1268. doi: http://dx.doi.org/10.1109/MPRV.2002.1012340.
T. Lee and A. Mihailidis, An intelligent emergency response system: preliminary development and testing of automated fall detection., J Telemed Telecare. 11(4), 194–198, (2005). doi: 10. 1258/1357633054068946. URL http://dx.doi.org/10.1258/1357633054068946.
H. Pigot, B. Lefebvre, B. Meunier, J.G.and Kerherve, A. Mayers, and S. Giroux. The role of intelligent habitats in upholding elders in residence. In Proc. 5th international conference on Simulations in Biomedicine, Slovenia, April 2003, (2003).
N. Noury, G. Virone, and T. Creuzet. The health integrated smart home information system (his2): rules based system for the localization of a human. In Microtechnologies in Medicine Biology 2nd Annual International IEEE-EMB Special Topic Conference on, pp. 318 –321, (2002). doi: 10.1109/MMB.2002.1002338.
N. Noury. Ailisa : experimental platforms to evaluate remote care and assistive technologies in gerontology. In Proc. 7th Inter. Workshop on enterprise networking and computing in Healthcare industry, Healthcom2005, Busan-Korea, 24-25 Jun 2005, pp. 155–160., (2005).
G. LeBellego, N. Noury, G. Virone, M. Mousseau, and J. Demongeot, A model for the measurement of patient activity in a hospital suite. 10(1), 92–99, (2006). doi: 10.1109/TITB.2005. 856855.
G. Virone, N. Noury, and J. Demongeot, A system for automatic measurement of circadian activity deviations in telemedicine. 49(12), 1463–1469, (2002). doi: 10.1109/TBME.2002. 805452.
G. Virone, M. Alwan, S. Dalal, S.W. Kell, B. Turner, J. A. Stankovic, and R. Felder, Behavioral patterns of older adults in assisted living. 12(3), 387–398, (2008). doi: 10.1109/TITB.2007. 904157.
N. Noury, T. Hadidi, M. Laila, A. Fleury, C. Villemazet, V. Rialle, and A. Franco. Level of activity, night and day alternation, and well being measured in a smart hospital suite. In Proc. 30th Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society EMBS 2008, pp. 3328–3331, (2008). doi: 10.1109/IEMBS.2008.4649917.
J. Poujaud, N. Noury, and J.-E. Lundy. Identification of inactivity behavior in smart home. In Proc. 30th Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society EMBS 2008, pp. 2075–2078, (2008). doi: 10.1109/IEMBS.2008.4649601.
S. Katz, A. Ford, R. W. Moskowitz, B. A. Jackson, and M. W. Jaffe, Studies of illness in the aged. the index of adl: A standardized measure of biological and psychosocial function., JAMA. 185, 914–919 (Sep, 1963).
P. Barralon, N. Noury, and N. Vuillerme. Classification of daily physical activities from a single kinematic sensor. In Proc. 27th Annual Int. Conf. of the Engineering in Medicine and Biology Society IEEE-EMBS 2005, pp. 2447–2450, (2005). doi: 10.1109/IEMBS.2005.1616963.
M. Berenguer, M. Giordani, F. Giraud-By, and N. Noury. Automatic detection of activities of daily living from detecting and classifying electrical events on the residential power line. In Proc. 10th Int. Conf. e-health Networking, Applications and Services HealthCom 2008, pp. 29–32, (2008). doi: 10.1109/HEALTH.2008.4600104.
X. H. B. Le, M. Di Mascolo, A. Gouin, and N. Noury. Health smart home for elders - a tool for automatic recognition of activities of daily living. In Proc. 30th Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society EMBS 2008, pp. 3316–3319, (2008). doi: 10.1109/IEMBS.2008.4649914.
A. Fleury, M. Vacher, and N. Noury, Svm-based multimodal classification of activities of daily living in health smart homes: Sensors, algorithms, and first experimental results. 14(2), 274–283, (2010). doi: 10.1109/TITB.2009.2037317.
N. Noury, K. A. Quach, M. Berenguer, H. Teyssier, M.-J. Bouzid, L. Goldstein, and M. Giordani. Remote follow up of health through the monitoring of electrical activities on the residential power line – preliminary results of an experimentation. In Proc. 11th Int. Conf. e-Health Networking, Applications and Services Healthcom 2009, pp. 9–13, (2009). doi: 10.1109/HEALTH.2009.5406203.
G. Virone, B. Lefebvre, N. Noury, and J. Demongeot. Modeling and computer simulation of physiological rhythms and behaviors at home for data fusion programs in a telecare system. In Proc. 5th Int. Workshop Enterprise Networking and Computing in Healthcare Industry Healthcom 2003, pp. 111–117, (2003)
T. Hadidi and N. Noury. Model and simulator of the activity of the elderly person in a health smart home. In Proc. of the IEEE-Healthcom2010, Lyon-France, 1-3 Jul. 2010, (2010).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Atlantis Press
About this chapter
Cite this chapter
Noury, N., Poujaud, J., Fleury, A., Nocua, R., Haddidi, T., Rumeau, P. (2011). Smart Sweet Home… A Pervasive Environment for Sensing our Daily Activity?. In: Chen, L., Nugent, C., Biswas, J., Hoey, J. (eds) Activity Recognition in Pervasive Intelligent Environments. Atlantis Ambient and Pervasive Intelligence, vol 4. Atlantis Press. https://doi.org/10.2991/978-94-91216-05-3_9
Download citation
DOI: https://doi.org/10.2991/978-94-91216-05-3_9
Published:
Publisher Name: Atlantis Press
Print ISBN: 978-90-78677-42-0
Online ISBN: 978-94-91216-05-3
eBook Packages: Computer ScienceComputer Science (R0)
