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L’apprentissage des modes de vie: une base indispensable au développement d’un habitat «intelligent»

Learning habits: An essential base with the development of a «smart» home

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Résumé

L’émergence des nouvelles technologies de l’informatique, de l’électronique et des communications sans fil permet aujourd’hui l’intégration de fonctions indispensables à des offres de services adaptées aux besoins des utilisateurs dans l’habitat. Ces offres doivent pouvoir répondre à deux demandes sociétales fortes que sont la maîtrise des coûts de santé et la maîtrise de l’énergie. C’est dans ce sens, que de nombreux travaux de recherche aux approches différentes ont été menés tels que ceux dulaas qui visent à intégrer les habitudes et pratiques des utilisateurs dans les automatismes domotiques. Les principes élaborés reposent sur l’apprentissage des habitudes de vie. Deux exemples d’applications utilisant ces concepts sont présentés par l’intermédiaire de deux systèmes domotiques pour la surveillance personnalisée du comportement de personnes âgées dans une perspective de soins à domicile, et pour la gestion automatique du confort thermique. Les résultats encourageants obtenus sur ces exemples laissent entrevoir la possibilité de proposer des systèmes performants faibles coûts en les associant à d’autres fonctions pour contribuer au développement d’un véritable «habitat intelligent».

Abstract

The advent of new technologies in the field of data processing, electronics and wireless communications currently support the integration of essential functions for the provision of services tailored to the user needs at home. These services are destined to address two key societal demands, i.e., keeping health costs and energy costs under control. With this objective in mind, a number of research works involving various approaches have been conducted as those carried out atlaas for the purpose of integrating the habits and practices of home automation users. The principles under investigation rely on learning habits. Two examples of application using these concepts are presented through use of two home automation systems for a personalized behavioral monitoring of the elderly with a view to providing home care, and for the automatic management of thermal comfort. Promising results have been obtained and pave the way for efficient and cost effective systems that could be associated with other functions to contribute to the development of a truly «smart home».

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Bibliographie

  1. Estève (D.), Conclusions de la commission d’experts «Habitat Intelligent»,cnrs-spi,Développement des Soins à Domicile, mars 1997.

  2. Chan (M.),Viard (T.),Caillavet (M.L.),Campo (E.), Smart Technology for the Elderly and Disabled Users at Home,2nd tide Congress. In: The European Context for Assistive Technology, Paris, pp. 393–396, avril 1995.

  3. Dieterle (W.), Kochs (H.D.), LAN based data communication in modern energy management systems (EMS),IEEE Trans. Power Syst.,11 (1), pp. 469–474, 1996.

    Article  Google Scholar 

  4. Kolokotsa (D.), Kalaitzakis (K.), Antonidakis (E.), Stavrakakis (G.S.), Interconnecting smart card system with PLC controller in a local operating network to form a distributed energy management and control system for buildings,Energy Conv. and Manag.,43, pp. 119–134, 2002.

    Article  Google Scholar 

  5. Torcellini (P.),Schoureschi (R.),Rahmani (K.), Intelligent Occupant Control System,Intelligent Control Systems,asme,45, 1992.

  6. Haberl (J.), Claridge (D.), An expert system for building energy consumption analysis: prototype results.ASHRAE Trans., Sym.p.,93 (1), pp. 979–998, 1987.

    Google Scholar 

  7. Guillemin (A.), N.Morel (N.), An innovative lighting controller integrated in a self-adaptive building control system,Energy and Build.,33, 2001.

  8. Dounis (A.I.), Santamouris (M.J.), Lefas (C.C.), Argiriou (A.), Design of a fuzzy set environment comfort system,Energy and Build.,22, pp. 81–87, 1995.

    Article  Google Scholar 

  9. Campo (E.),Scotto Di Rinaldi (J.P.),Estève (D.),Bailly (N.),Benard (F.),Ergdom: Validation opérationnelle du concept de base, Soumis àla Revue Scientifique des Annales du Bâtiment, 2002.

  10. Bailly (N.),Estève (D.), Procédé de gestion d’énergie auto-configurable pour l’habitat,Brevet avis,inpi no 9706870 du 4 juin 1997.

  11. Werterterp (K.R.), Physical activity assessment with accelerometers,International Journal of Obesity,23, no 3, pp. 45–49, 1999.

    Article  Google Scholar 

  12. Ancoli-Israel (S.), Clopton (P.), Klauber (M.R.), Fell (R.), Mason (W.), Use of wrist activity for monitoring sleep/wake in demented nursing-home patients,Sleep,20 (1), pp. 24–27, 1997.

    Google Scholar 

  13. Yesavage (J.A.), Friedman (L.), Kraemer (H.C.), Noda (A.), Wicks (D.), Bliwise (D.L.), Sheikh (J.), Tinklenberg (J.), Zarcone (V.), A follow-up study of actigraphic measures in home-residing Alzheimer’s disease patients,Journal of Geriatric Psychiatry and Neurology,11 (1), pp. 7–10, 1998.

    Google Scholar 

  14. Demongeot (J.), Virone (G.), Duchêne (F.), Benchétrit (G.), Hervé (T.), Noury (N.), Rialle (V.), Multisensor acquisition, data fusion, knowledge mining and alarm triggering in health smart homes for elderly people,C. R. Biol.,325 (6), pp. 673–682, 2002.

    Article  Google Scholar 

  15. Chan (M.), Campo (E.), Laval (E.), Estève (D.), Validation of a remote monitoring system for the elderly: Application to mobility measurements,Technology and Health Care,10 (5), pp. 391–399, 2002.

    Google Scholar 

  16. Chan (M.), Bocquet (H.), Campo (E.), Val (T.), Pous (J.), Alarm communication network to help carers of the elderly for safety purposes: a survey of a project,Internat. Journal of Rehabilitation Research,22, pp. 131–136, 1999.

    Article  Google Scholar 

  17. Peeters (PHF.), Design criteria for an automatic safety-alarm system for elderly,Technology and Health Care,8, pp. 81–91, 2000.

    Google Scholar 

  18. Yamaguchi (A.), Ogawa (M.), Tamura (T.), Togawa (T.), Monitoring behavior in the home using positioning sensors,Proc. of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society,20 (4), pp. 1977–1979, 1998.

    Google Scholar 

  19. Durand (P.Y.)et al., Diatélic: a new intelligent telemedicine system to avoid disorders incapd patients,Perit. Dial. Int.,20, no 1, 2000.

  20. Campo (E.),Chan (M.), Detecting abnormal behavior by real-time monitoring of patients,aaai 2002 Workshop on Automation as caregiver: the role of intelligent technology in elder care, Edmonton (Canada), pp. 8–12, 2002.

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  1. Laboratoire LAAS-CNRS, 7 avenue du Colonel Roche, 31077, Toulouse Cedex 4, France

    Éric Campo, Marie Chan & Daniel Estève

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  1. Éric Campo
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  2. Marie Chan
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  3. Daniel Estève
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Correspondence to Éric Campo.

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Campo, É., Chan, M. & Estève, D. L’apprentissage des modes de vie: une base indispensable au développement d’un habitat «intelligent». Ann. Télécommun. 58, 850–865 (2003). https://doi.org/10.1007/BF03001534

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  • DOI: https://doi.org/10.1007/BF03001534

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