Harper, R.: Inside the Smart Home. Springer (2003)
Gutierrez, J.: On the Use of IEEE 802.15.4 to enable wireless sensor networks in building automation. In: Proceedings of the 15th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2004), Barcelona, 5–8 September 2005, pp 1865–1869 (2005)
Tamura, T., Togawa, T., Ogawa, M., Yoda, M.: Fully automated health monitoring system in the home. Med. Eng. & Phys. 20, 573–579 (1998)
Article
Google Scholar
Lyardet, F.K.F., Nakajima, T.: Three challenges for future smart object systems. In: Proceedings of the 2nd International Workshop on Smart Products: Building Block of Ambient Intelligence (AmI-Block’08) (2008)
Noury, N., Virone, G., Barralon, P., Ye, J., Rialle, V., Demongeot, J.: New Trends in Health Smart Homes. In: Proceedings of the 5th International Workshop on Enterprise Networking and Computing in Healthcare Industry (Healthcom 2003), Santa Monica, 6–7 June 2003, pp 118–127 (2003)
Mozer, M.: The neural network house: an environment that is adapts to its inhabitants (1998)
Adlam, T., Faulkner, R., Orpwood, R., Jones, K., Macijauskiene, J., Budraitiene, A.: The Installation and Support of Internationally Distributed Equipment for People with Dementia. IEEE Trans. Inf. Technol. Biomed. 8(3), 253–257 (2004)
Article
Google Scholar
Jiang, L., Liu, D., Yang, B.: Smart Home Research (2004)
Bartolomeu, P., Fonseca, J., Vasques, F.: Challenges in Health Smart Homes. In: Proceedings of Pervasive Computing Technologies for Healthcare (Pervasive Health 2008), Tampere, 30 January – 1 February 2008, pp 19–22 (2008)
Chan, M., Esteve, D., Escriba, C., Campoa, E.: A review of smart homes—present of state and future challenges. Comput. Methods Programs Biomed. 91, 55–81 (2008)
Article
Google Scholar
Subiyanto, S., Mohamed, A., Hannan, M.: Intelligent maximum power point tracking for PV system using hopfield neural network optimized fuzzy logic Controller. Energy Build. 51, 29–38 (2012)
Article
Google Scholar
Ouyang, J., Wang, C., Li, H., Hokao, K.: A methodology for energy-efficient renovation of existing residential buildings in china and case study. Energy Build. 43(9), 2203–2210 (2011)
Article
Google Scholar
Kim, S.M., Lee, J.-H., Kim, S., Moon, H.J., Cho, J.: Determining operation schedules of heat recovery ventilators for optimum energy savings in high-rise residential buildings. Energy Build. 46(3), 3–13 (2012)
Article
Google Scholar
Utlu, Z., Hepbasli, A.: A study on the evaluation of energy utilization efficiency in the turkish residential-commercial sector using energy and exergy analyses. Energy Build. 35(11), 1145–1153 (2003)
Article
Google Scholar
McNeil, M.A., Letschert, V.E.: Modeling diffusion of electrical appliances in the residential sector. Energy Build. 42(6), 783–790 (2010)
Article
Google Scholar
Santin, O.G., Ltard, L., Visscher, H.: The effect of occupancy and building characteristics on energy use for space and water heating in Dutch residential stock. Energy Build. 41(11), 1223–1232 (2009)
Article
Google Scholar
Cianfrini, C., Corcione, M., Habib, E., Quintino, A.: Energy performance of a lightweight opaque ventilated façade integrated with the HVAC system using saturated exhaust indoor air. Energy Build. 50, 26–34 (2012)
Article
Google Scholar
Bull, R., Chang, N., Fleming, P.: The use of building energy certificates to reduce energy consumption in European public buildings. Energy Build. 50, 103–110 (2012)
Article
Google Scholar
Toguyeni, D.Y.K., Coulibaly, O., Ouedraogo, A., Koulidiati, J., Dutil, Y., Rousse, D.: Study of the influence of roof insulation involving local materials on cooling loads of houses built of clay and straw. Energy Build. 50, 74–80 (2012)
Article
Google Scholar
Barr, S., Gilg, A.W., Ford, N.: The household energy gap: examining the divide between habitual- and purchase-related conservation behaviours. Energy Policy 33, 1425–1444 (2005)
Article
Google Scholar
Branco, G., Lachal, B., Gallinelli, P., Weber, W.: Predicted versus observed heat consumption of a low energy multifamily complex in Switzerland based on long-term experimental data. Energy Build. 36 (6), 543–555 (2004)
Article
Google Scholar
Yu, Z., Fung, BCM, Haghighat, F., Yoshino, H., Morofsky, E.: A systematic procedure to study the influence of occupant behavior on building energy consumption. Energy Build. 42 (9), 1409–1417 (2011)
Article
Google Scholar
Kim, M.J., Cho, M.E., Kim, J.T.: Energy use of households in apartment complexes with different service life. Energy Build. 66, 591–598 (2013)
Article
Google Scholar
Chan, M., Campo, E., Estève, D., Fourniols, J.: Smart homes—current features and future perspectives. Maturitas 64 (2), 90–97 (2009)
Article
Google Scholar
Mozer, M.C.: The neural network house: an environment that’s adapts to its inhabitants. In: The AAAI Spring Symposium on Intelligent Environments 1998, pp 110–114 (1998)
Perry, M., Dowdall, A., Lines, L., Hone, K.: Multimodal and ubiquitous computing systems: supporting independent-living older users. IEEE Trans. Inf. Technol. Biomed. 8 (3), 258–270 (2004)
Article
Google Scholar
House_n (MIT) information. http://architecture.mit.edu/house_n/.
Cory, D.K., Rovert, O., Gregory, D.A., Christopher, G.A., E, I.A., Blair, M., Elizabeth, M., S, T.E., Wendy, N.: The Aware Home: a living laboratory for ubiquitous computing research architecture, pp 199–198 (1998)
Tapia, E., Intille, S., Larson, K.: Activity Recognition in the Home Using Simple and Ubiquitous Sensors. In: Proceedings of Pervasive Computing (Pervasive, Vol. 2004, pp 158–175, Pittsburgh (2004)
Kidd, C.D., Orr, R.J., Abowd, G.D., Atkeson, C.G., Essa, I.A., MacIntyre, B., Mynatt, E., Starner, T.E., Newstetter, W.: The aware home: a living laboratory for ubiquitous computing research. In: 2nd International Workshop on Cooperative buildings (CoBuild’99) (1999)
Elger, G., Furugren, B.: SmartBo-An ICT and computer-based demonstration home for disabled people. Paper presented at the improving the quality of life for the European citizen technology for inclusive design and equality assistive technology research series
Tapia, E.M., Intille, S.S., Larson, K.: Activity recognition in the home using simple and ubiquitous sensors. In: Pervasive Computing (Pervasive, Vol. 2004), pp 158–175. Pittsburgh (2004)
Seo, M.K., Kim, T.G., Lim, M.S., Lim, S.C., Jang, S.J., Choi, I.H., Choi, J.W.: Smart Home Network in abroad. In: Ministry of Construction and Transportation of Korea (2006)
Das, S.K., Cook, D.J., Bhattacharya, A., Heierman, E.O., Lin, T.Y.: The role of prediction algorithm in the MavHome smart home architecture. IEEE Wirel. Commun. 9 (6), 77–84 (2002)
Article
Google Scholar
Brumitt, B., Meyers, B., Krumm, J., Kern, A., Shafer, S.: EasyLiving: technologies for intelligent environments Handheld and Ubiquitous Computing (2000)
Azuma, R.: A survey of sugmented reality. Presence-Teleoperators Virtual Environ. 6 (4), 355–385 (1997)
Google Scholar
Wang, X.D.P.S.: Design, strategies, and issues towards an augmented reality-based construction training platform. J. Inf. Technol. Constr. (ITcon) 12, 363–380 (2007)
Google Scholar
Wang, X., Schnabel, M.A. (eds.): Mixed Reality in Architecture, Design, and Construction. Springer-Verlag (2009)
Shin, D.H., Dunston, P.S., Wang, X.: View changes in mixed reality-based collaborative virtual environments. ACM Trans. Appl. Percept. Assoc. Comput. Mach. 2 (1), 1–14 (2005)
Article
Google Scholar
Chi, H.L., Kang, S., Wang, X.: Research trend and opportunities of augmented reality applications in architecture, engineering and construction. Autom. Constr. 33, 116–122 (2013)
Article
Google Scholar
Wang, X.: Augmented reality in architecture and design: potentials and challenges for application. Int. J. Archit. Comput. 7 (2), 309–326 (2009)
Article
Google Scholar
Rice, R.: Augmented Vision and the Decade of Ubiquity http://curiousraven.squarespace.com/(2009).20
Porteus, J., Brownsell, S.: Exploring Technologies for Independent Living for Older People: A Report on the Anchor Trust/BT Telecare Re. Oxon, U.K.: Anchor Trust (2000)
Tuomisto, M.T., Terho, T., Korhonen, I., Lappalainen, R., Tuomisto, T., Laippala, P., Turjanmaa, V.: Diurnal and weekly rhythms of health-related variables in home recordings for two months. Physiol. & Behav. 87, 650–658 (2006)
Article
Google Scholar
Kim, M.J., Oh, M.W., Cho, M.E., Lee, H., Kim, J.T.: A Critical review of user studies on healthy smart homes. Indoor Built Environ. 22, 260–270 (2013)
Article
Google Scholar
Noury, N., Virone, G., Barralon, P., Ye, J., Rialle, V., Demongeot, J.: New trends in health smart homes. In: The 5th International Workshop on Enterprise Networking and Computing in Healthcare Industry (Healthcom 2003), Santa Monica, 6–7 June 2003, pp 118–127
Nisbet, P.: Integrating assistive technologies: current practices and future possibilities. Med. Eng. & Phys. 18(3), 193–202 (1996)
Article
Google Scholar
Perry, M., Dowdall, A., Lines, L., Hone, K.: Multimodal and ubiquitous computing systems: supporting independent-living older users. IEEE Trans. Inf. Technol. Biomed. 8 (3), 258–270 (2004)
Article
Google Scholar
Brooks, F.P., Ouh-Young, M., Batter, J.J., Kilpatrick, P.J.: Project GROPE - Haptic displays for scientific visualization. In: Proceedings of ACM SIGGRAPH’90 1990, pp 177–185
Kim, M.J., Maher, M.L.: The impact of tangible user interfaces on designers’ spatial cognition. Human-Comput. Interact. 23 (2), 101–137 (2008)
Article
Google Scholar
Seichter, H., Kvan, T.: Tangible interfaces in design computing. In: Proceedings of the Education and research in Computer Aided Architectural Design in Europe (eCAADe) (2004)
Mynatt, E.D., Essa, I., Rogers, W.: Increasing the Opportunities for Aging in Place. In: Proceedings on the ACM Conference on Universal Usability 2000 2000, pp 65–71. ACM Press
Redden, T., Benford, S.: The Evolution of buildings and implications for the design of ubiquitous domestic environments. In: Proceedings of the ACM CHI 2003 (2003)
Gaver, B., Martin, H.: Alternatives: exploring information appliances through conceptual design proposals. In: CHI ’00 Proceedings of the SIGCHI conference on Human Factors in Computing Systems, pp 209–216
Crabtree, A., Rodden, T.: Computer Supported Cooperative Work 13 2, pp. 191–220 (2004)
Hindus, D., Mainwaring, S.D., Leduc, N., Hagström, A.E., Bayley, O.: Casablanca: designing social communication devices for the home. In: The 2001 CHI Conference on Human Factors in Computing Systems, Seattle 2001, pp 325–332. ACM Press
Crabtree, A., Rodden, T., Hemmings, T.: Supporting communication in domestic settings. In: The 2003 Home Oriented Informatics and Telematics Conference, p 2002. Irvine, California
O’Brien, J., Rodden, T., Rouncefield, M., Hughes, J.A.: At home with the technology. ACM Trans. Comput.-Human Interact. 6 (3), 282–308 (1999)
Article
Google Scholar
Jiang, L., Liu, D., Yang, B.: Smart home research. In: The 2004 International Conference on Machine Learning and Cybernetics, Shanghai, 26–29 August 2004, pp 659–663
Bartolomeu, P., Fonseca, J., Vasques, F.: Challenges in Health Smart Homes. In: Pervasive Computing Technologies for Healthcare (Pervasive Health 2008), Tampere, 30 January – 1 February 2008, pp 19–22
Chan, M., Esteve, D., Escriba, C., Campoa, E.: A review of smart homes—Present state and future challenges. Comput. Methods Programs Biomed. 91, 55–81 (2008)
Article
Google Scholar
Chan, M., Campoa, E., Estèvea, D., Fourniolsa, J.: Smart homes — current features and future perspectives. Maturitas 64(2), 90–97 (2009)
Article
Google Scholar
Coleman, M., Brown, N., Wright, A., Firth, S.K.: Information, communication and entertainment appliance use—Insights from a UK household study. Energy Build. 54, 61–72 (2012)
Article
Google Scholar
Subiyanto, S., Mohamed, A., Hannan, M.A.: Intelligent maximum power point tracking for PV system using Hopfield neural network optimized fuzzy logic controller. Energy Build. 51, 29–38 (2012)
Article
Google Scholar
Weiser, M.: The Computer for the Twenty-First Centry. Scienfic American (1991)
Weiser, M., Brown, J.S.: Designing calm technology. PowerGrid 1(1) (1996)
Oh, M.W., Kim, M.J.: Energy use associated with social types of elderly households. In: The 20th IAGG World Congress of Gerontology and Geriatrics, Seoul, June 23–27 (2013)
Garg, V., Bansal, N.K.: Smart occupancy sensors to reduce energy consumption. Energy Buidlings 32, 81–87 (2000)
Article
Google Scholar
Lu, J., Sookoor, T., Srinivasan, V., Gao, G., Holben, B., Stankovic, J., Field, E., Whitehouse, K.: The smart thermostat: using occupancy sensors to save energy in homes. In: the 8th ACM Conference on Embedded Networked Sensor Systems 2010, pp. 211–224
Arvola, A., Uutela, A., Anttila, U.: Billing feedback as a means of encouraging conservation of electricity in households: A Field Experiment in Helsinki. In: Energy and the Consumer. Finish Ministry of Trade and Industry (1994)
Barbose, G., Goldman, C., Neenan, B.: A survey of utility expeirence with real time pricing: implications for policymakers seeking price responsive demand. In: European Council for an Energy-Efficent Economy (2005)
Darby, S.: The effectivenss of feedback on energy consumption: a review for defra of the literature on metering, billing and direct display. In: Environmental Change Institute, University of Oxford (2006)
Wood, G., Newborough, M.: Dynamic energy-consumption indicators for domestic appliances: environment, behavior and design. Energy Build. 35, 821–841 (2003)
Article
Google Scholar