2012
Journal article
Open Access
Meeting people's needs in a fully interoperable domotic environment
Miori V., Russo D., Concordia C.
Ambient Intelligent Domotics web services data mining Article association rules and Optics domotics home environment Instrumentation interoperability Biochemistry Association rules machine learning Home environment Interoperability Ambient Intelligence Atomic and Molecular Physics Electrical and Electronic Engineering Analytical Chemistry Web services DomoNet XML Machine learning
The key idea underlying many Ambient Intelligence (AmI) projects and applications is context awareness, which is based mainly on their capacity to identify users and their locations. The actual computing capacity should remain in the background, in the periphery of our awareness, and should only move to the center if and when necessary. Computing thus becomes 'invisible', as it is embedded in the environment and everyday objects. The research project described herein aims to realize an Ambient Intelligence-based environment able to improve users' quality of life by learning their habits and anticipating their needs. This environment is part of an adaptive, context-aware framework designed to make today's incompatible heterogeneous domotic systems fully interoperable, not only for connecting sensors and actuators, but for providing comprehensive connections of devices to users. The solution is a middleware architecture based on open and widely recognized standards capable of abstracting the peculiarities of underlying heterogeneous technologies and enabling them to co-exist and interwork, without however eliminating their differences. At the highest level of this infrastructure, the Ambient Intelligence framework, integrated with the domotic sensors, can enable the system to recognize any unusual or dangerous situations and anticipate health problems or special user needs in a technological living environment, such as a house or a public space.
Source: Sensors (Basel) 12 (2012): 6802–6824. doi:10.3390/s120606802
Publisher: Molecular Diversity Preservation International (MDPI),, Basel
1. Weiser, M. The computer for the twenty-first century. Sci. Am. 1991, 3, 94-104.
2. José, R.; Rodrigues, H.; Otero, N. Ambient intelligence: Beyond the inspiring vision. J. Univ. Comput. Sci. 2010, 16, 1480-1499.
3. Isern, D.; Sánchez, D.; Moreno, A. Agents applied in health care: A review. Int. J. Med. Inf. 2010, 75, 145-166.
4. Ali, R.; Abdel-Naby, S.; Maña, A. Muñoz, A.; Giorgini, P. Agent Oriented AmI Engineering; Springer: Paris, France, 2008.
5. Scholten, H.; van Dijk, H.; De Cock, D.; Preneel, B.; D'Hooge, M.; Kung, A. Secure Service Discovery in Home Networks. In Proceedings of International Conference on Consumer Electronics, Las Vegas, NV, USA, 8-12 January 2006; pp. 115-116.
6. Tokunaga, E.; Ishikawa, H.; Kurahashi, M.; Morimoto, Y.; Nakajima, T. A Framework for Connecting Home Computing Middleware. In Proceedings of the 22nd international Conference on Distributed Computing Systems, Vienna, Austria, 2-5 July 2002; pp. 765-770.
7. oBIX (Open Building Information Xchange). Available online: http://www.obix.org (accessed on 18 April 2012).
8. Pellegrino, P.; Bonino, D.; Corno, F. Domotic House Gateway. In Proceedings of the ACM Symposium on Applied Computing, Dijon, France, 23-27 April 2006; pp. 1915-1920.
9. Georgantas, N.; Mokhtar, S.B.; Bromberg, Y.; Issarny, V.; Kalaoja, J.; Kantarovitch, J.; Gerodolle, A.; Mevissen, R. The Amigo Service Architecture for the Open Networked Home Environment. In Proceedings of the 5th Working IEEE/IFIP Conference on Software Architecture, Pittsburgh, PA, USA, 6-10 November 2005; pp. 295-296.
10. Chin, J.; Callaghan, V.; Clarke, G. A Programming by Example Approach to Customizing Digital Homes. In Proceedings of International Conference on Intelligent Environments, Seattle, WA, USA, 21-22 July 2008.
11. Humble, J.; Crabtree, A.; Hemmings, T.; Åkesson, K.-P.; Koleva, B.; Rodden, T.; Hansson, P. Playing with the Bits: User-Configuration of Ubiquitous Domestic Environments. In UbiComp 2003: Ubiquitous Computing; Anind, D., Schmidt, A. McCarthy, J., Eds.; Springer: Berlin/Heidelberg, Germany, 2003; Volume 2864, pp. 256-263.
12. Truong, K.N.; Huang, E.M.; Abowd, G.D. CAMP: A Magnetic Petry Interface for End-User Programming of Capture Applications for the Home. In Proceedings of Fifth Annual Conference on Ubiquitous Computing, Seattle, WA, USA, 12-15 October 2003; pp. 143-160.
13. Rivera-Illingworth, F.; Callaghan, V.; Hagras, H. Automated Discovery of Human Activities Inside Pervasive Living Spaces. In Proceedings 1st International Symposium on Pervasive Computing and Applications, Urumchi, China, 3-5 August 2006; pp. 77-82.
14. Cook, D.J.; Youngblood, M.; Heierman, E.O., III.; Gopalratnam, K.; Rao, S.; Litvin, A.; Khawaja, F. MavHome: An Agent-Based Smart Home. In Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, Dallas-Fort Worth, TX, USA, 23-26 March 2003; pp. 521-524.
15. Intille, S.S.; Larson, K.; Beaudin, J.S.; Nawyn, J.; Tapia, E.M.; Kaushik, P. A Living Laboratory for the Design and Evaluation of Ubiquitous Computing Technologies. In CHI '05 Extended Abstracts on Human Factors in Computing Systems, Proceedings of Conference on Human Factors In Computing Systems, Portland, OR, USA, 2-7 April 2005; pp. 1941-1944.
16. Tapia, E.M.; Intille, S.S.; Larson, K. Activity Recognition in the Home Using Simple and Ubiquitous Sensors. In Pervasive Computing; Ferscha, A., Mattern, F., Eds.; Springer-Verlag: Berlin/Heidelberg, Germany, 2004; Volume 3001, pp. 158-175.
17. Lühr, S.; West, G.; Venkatesh, S. Recognition of emergent human behaviour in a smart home; A data mining approach. Pervasive Mob. Comput. 2007, 3, 95-116.
18. Zheng, H.; Wang, H.; Black, N. Human Activity Detection in Smart Home Environment with Self-Adaptive Neural Networks. In Proceedings of IEEE International Conference Networking, Sensing and Control, Hainan, China, 6-8 April 2008; pp. 1505-1510.
19. Aggarwal, J.K.; Ryoo, M.S. Human activity analysis: A review. ACM Comput. Surv. 2011, 43, Article 16.
20. Folgado, E.; Rincón, M.; Carmona, E.J.; Bachiller, M. A block-based model for monitoring of human activity. Neurocomputing 2011, 74, 1283-1289.
21. Mocanu, I.; Florea, A.M. A Multi-Agent System for Human Activity Recognition in Smart Environments. In Proceedings of 5th International Symposium on Intelligent Distributed Computing, Delft, The Netherlands, 5-7 October 2011.
22. Atallah, L.; Lo, B.; King, R.; Yang, G.Z. Sensor positioning for activity recognition using wearable accelerometers. IEEE Trans. Biomed. Circuits Syst. 2011, 5, 320-329.
23. Corchado, J.M.; Bajo, J.; Abraham, A. GerAmi: Improving healthcare delivery in geriatric residences. IEEE Intell. Syst. 2008, 23, 19-25.
24. Xefteris, S.; Andronikou, V.; Tserpes, K.; Varvarigou, T. Case-based approach using behavioural biometrics aimed at Assisted Living. J. Ambient Intell. Humaniz. Comput. 2011, 2, 73-80.
25. ABI Research's Home Automation and Monitoring study. Available online: http://www.abiresearch.com/research/1005784-Home+Automation+and+Monitoring (accessed on 18 April 2012).
26. Miori, V.; Russo, D.; Aliberti, M. Domotic technologies incompatibility becomes user transparent. Commun. ACM 2010, 53, 153-157.
27. Papazoglou, M.P.; Georgakopolous, D. Service oriented computing. Commun. ACM 2003, 46, 24-28.
28. Schilit, B.; Adams, N.; Want, R. Context-Aware Computing Applications. In Proceedings of First Workshop on Mobile Computing Systems and Applications, Cairo, Egypt, 8-9 December 1994; pp. 85-90.
29. Miori, V.; Russo, D. An Adaptive and Anticipatory AmI Approach Tailored to User Needs. In Proceedings of 5th International Symposium on Ubiquitous Computing and Ambient Intelligence, Riviera Maya, Mexico, 5-9 December 2011: Article n. 13.
30. Frawley, W.; Piatetsky-Shapiro, G.; Matheus, C. Knowledge discovery in database-An overview. AI Mag. 1992, 13, 57-70.
31. Tan, P.N.; Steinbach, M.; Kumar, V. Introduction to Data Mining; Addison Wesley: Boston, MA, USA, 2005
32. Hand, D.; Mannila, H.; Smyth, P. Principles of Data Mining; MIT Press: Cambridge, MA, USA, 2001.
33. Tan, P.N.; Steinbach, M.; Kumar, V. Introduction to Data Mining; Addison: Boston, MA, USA, 2005.
34. Havlik, D.; Schade, S.; Sabeur, Z.A.; Mazzetti, P.; Watson, K.; Berre, A.J.; Mon, J.L. From sensor to observation web with environmental enablers in the future internet. Sensors 2011, 11, 3874-3907.
35. Martínez-Pérez, F.E.; González-Fraga, J.Á.; Cuevas-Tello, J.C.; Rodríguez, M.D. Activity inference for ambient intelligence through handling artifacts in a healthcare environment. Sensors 2012, 12, 1072-1099.
36. Juels, A.; Garfinkel, S.; Pappu, R. RFID privacy: An overview of problems and proposed solutions. IEEE Secur. Priv. 2005, 3, 34-43.
Weiser, M.. The computer for the twenty-first century. Sci. Am.. 1991; 3: 94-104
José, R., Rodrigues, H., Otero, N.. Ambient intelligence: Beyond the inspiring vision. J. Univ. Comput. Sci.. 2010; 16: 1480-1499
Isern, D., Sánchez, D., Moreno, A.. Agents applied in health care: A review. Int. J. Med. Inf.. 2010; 75: 145-166
Ali, R., Abdel-Naby, S., Mana, A., Munoz, A., Giorgini, P.. Agent Oriented AmI Engineering. 2008
Scholten, H., van Dijk, H., De Cock, D., Preneel, B., D'Hooge, M., Kung, A.. Secure Service Discovery in Home Networks. : 115-116
Tokunaga, E., Ishikawa, H., Kurahashi, M., Morimoto, Y., Nakajima, T.. A Framework for Connecting Home Computing Middleware. : 765-770
Pellegrino, P., Bonino, D., Corno, F.. Domotic House Gateway. : 1915-1920
Georgantas, N., Mokhtar, S.B., Bromberg, Y., Issarny, V., Kalaoja, J., Kantarovitch, J., Gerodolle, A., Mevissen, R.. The Amigo Service Architecture for the Open Networked Home Environment. : 295-296
Chin, J., Callaghan, V., Clarke, G.. A Programming by Example Approach to Customizing Digital Homes.
Humble, J., Crabtree, A., Hemmings, T., Åkesson, K.-P., Koleva, B., Rodden, T., Hansson, P., Anind, D., Schmidt, A., McCarthy, J.. Playing with the Bits: User-Configuration of Ubiquitous Domestic Environments. UbiComp 2003: Ubiquitous Computing. 2003; 2864: 256-263
Truong, K.N., Huang, E.M., Abowd, G.D.. CAMP: A Magnetic Petry Interface for End-User Programming of Capture Applications for the Home. : 143-160
Rivera-Illingworth, F., Callaghan, V., Hagras, H.. Automated Discovery of Human Activities Inside Pervasive Living Spaces. : 77-82
Cook, D.J., Youngblood, M., Heierman, E.O., Gopalratnam, K., Rao, S., Litvin, A., Khawaja, F.. MavHome: An Agent-Based Smart Home. : 521-524
Intille, S.S., Larson, K., Beaudin, J.S., Nawyn, J., Tapia, E.M., Kaushik, P.. A Living Laboratory for the Design and Evaluation of Ubiquitous Computing Technologies. : 1941-1944
Tapia, E.M., Intille, S.S., Larson, K., Ferscha, A., Mattern, F.. Activity Recognition in the Home Using Simple and Ubiquitous Sensors. Pervasive Computing. 2004; 3001: 158-175
Lühr, S., West, G., Venkatesh, S.. Recognition of emergent human behaviour in a smart home; A data mining approach. Pervasive Mob. Comput.. 2007; 3: 95-116
Zheng, H., Wang, H., Black, N.. Human Activity Detection in Smart Home Environment with Self-Adaptive Neural Networks. : 1505-1510
Aggarwal, J.K., Ryoo, M.S.. Human activity analysis: A review. ACM Comput. Surv. 2011 (43)
Folgado, E., Rincón, M., Carmona, E.J., Bachiller, M.. A block-based model for monitoring of human activity. Neurocomputing. 2011; 74: 1283-1289
Mocanu, I., Florea, A.M.. A Multi-Agent System for Human Activity Recognition in Smart Environments.
Atallah, L., Lo, B., King, R., Yang, G.Z.. Sensor positioning for activity recognition using wearable accelerometers. IEEE Trans. Biomed. Circuits Syst.. 2011; 5: 320-329
Corchado, J.M., Bajo, J., Abraham, A.. GerAmi: Improving healthcare delivery in geriatric residences. IEEE Intell. Syst.. 2008; 23: 19-25
Xefteris, S., Andronikou, V., Tserpes, K., Varvarigou, T.. Case-based approach using behavioural biometrics aimed at Assisted Living. J. Ambient Intell. Humaniz. Comput.. 2011; 2: 73-80
Miori, V., Russo, D., Aliberti, M.. Domotic technologies incompatibility becomes user transparent. Commun. ACM. 2010; 53: 153-157
Papazoglou, M.P., Georgakopolous, D.. Service oriented computing. Commun. ACM. 2003; 46: 24-28
Schilit, B., Adams, N., Want, R.. Context-Aware Computing Applications. : 85-90
Miori, V., Russo, D.. An Adaptive and Anticipatory AmI Approach Tailored to User Needs.
Frawley, W., Piatetsky-Shapiro, G., Matheus, C.. Knowledge discovery in database—An overview. AI Mag.. 1992; 13: 57-70
Tan, P.N., Steinbach, M., Kumar, V.. Introduction to Data Mining. 2005
Hand, D., Mannila, H., Smyth, P.. Principles of Data Mining. 2001
Havlik, D., Schade, S., Sabeur, Z.A., Mazzetti, P., Watson, K., Berre, A.J., Mon, J.L.. From sensor to observation web with environmental enablers in the future internet. Sensors. 2011; 11: 3874-3907
Martínez-Pérez, F.E., González-Fraga, J.Á., Cuevas-Tello, J.C., Rodríguez, M.D.. Activity inference for ambient intelligence through handling artifacts in a healthcare environment. Sensors. 2012; 12: 1072-1099
Juels, A., Garfinkel, S., Pappu, R.. RFID privacy: An overview of problems and proposed solutions. IEEE Secur. Priv.. 2005; 3: 34-43
2. José, R.; Rodrigues, H.; Otero, N. Ambient intelligence: Beyond the inspiring vision. J. Univ. Comput. Sci. 2010, 16, 1480-1499.
3. Isern, D.; Sánchez, D.; Moreno, A. Agents applied in health care: A review. Int. J. Med. Inf. 2010, 75, 145-166.
4. Ali, R.; Abdel-Naby, S.; Maña, A. Muñoz, A.; Giorgini, P. Agent Oriented AmI Engineering; Springer: Paris, France, 2008.
5. Scholten, H.; van Dijk, H.; De Cock, D.; Preneel, B.; D'Hooge, M.; Kung, A. Secure Service Discovery in Home Networks. In Proceedings of International Conference on Consumer Electronics, Las Vegas, NV, USA, 8-12 January 2006; pp. 115-116.
6. Tokunaga, E.; Ishikawa, H.; Kurahashi, M.; Morimoto, Y.; Nakajima, T. A Framework for Connecting Home Computing Middleware. In Proceedings of the 22nd international Conference on Distributed Computing Systems, Vienna, Austria, 2-5 July 2002; pp. 765-770.
7. oBIX (Open Building Information Xchange). Available online: http://www.obix.org (accessed on 18 April 2012).
8. Pellegrino, P.; Bonino, D.; Corno, F. Domotic House Gateway. In Proceedings of the ACM Symposium on Applied Computing, Dijon, France, 23-27 April 2006; pp. 1915-1920.
9. Georgantas, N.; Mokhtar, S.B.; Bromberg, Y.; Issarny, V.; Kalaoja, J.; Kantarovitch, J.; Gerodolle, A.; Mevissen, R. The Amigo Service Architecture for the Open Networked Home Environment. In Proceedings of the 5th Working IEEE/IFIP Conference on Software Architecture, Pittsburgh, PA, USA, 6-10 November 2005; pp. 295-296.
10. Chin, J.; Callaghan, V.; Clarke, G. A Programming by Example Approach to Customizing Digital Homes. In Proceedings of International Conference on Intelligent Environments, Seattle, WA, USA, 21-22 July 2008.
11. Humble, J.; Crabtree, A.; Hemmings, T.; Åkesson, K.-P.; Koleva, B.; Rodden, T.; Hansson, P. Playing with the Bits: User-Configuration of Ubiquitous Domestic Environments. In UbiComp 2003: Ubiquitous Computing; Anind, D., Schmidt, A. McCarthy, J., Eds.; Springer: Berlin/Heidelberg, Germany, 2003; Volume 2864, pp. 256-263.
12. Truong, K.N.; Huang, E.M.; Abowd, G.D. CAMP: A Magnetic Petry Interface for End-User Programming of Capture Applications for the Home. In Proceedings of Fifth Annual Conference on Ubiquitous Computing, Seattle, WA, USA, 12-15 October 2003; pp. 143-160.
13. Rivera-Illingworth, F.; Callaghan, V.; Hagras, H. Automated Discovery of Human Activities Inside Pervasive Living Spaces. In Proceedings 1st International Symposium on Pervasive Computing and Applications, Urumchi, China, 3-5 August 2006; pp. 77-82.
14. Cook, D.J.; Youngblood, M.; Heierman, E.O., III.; Gopalratnam, K.; Rao, S.; Litvin, A.; Khawaja, F. MavHome: An Agent-Based Smart Home. In Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, Dallas-Fort Worth, TX, USA, 23-26 March 2003; pp. 521-524.
15. Intille, S.S.; Larson, K.; Beaudin, J.S.; Nawyn, J.; Tapia, E.M.; Kaushik, P. A Living Laboratory for the Design and Evaluation of Ubiquitous Computing Technologies. In CHI '05 Extended Abstracts on Human Factors in Computing Systems, Proceedings of Conference on Human Factors In Computing Systems, Portland, OR, USA, 2-7 April 2005; pp. 1941-1944.
16. Tapia, E.M.; Intille, S.S.; Larson, K. Activity Recognition in the Home Using Simple and Ubiquitous Sensors. In Pervasive Computing; Ferscha, A., Mattern, F., Eds.; Springer-Verlag: Berlin/Heidelberg, Germany, 2004; Volume 3001, pp. 158-175.
17. Lühr, S.; West, G.; Venkatesh, S. Recognition of emergent human behaviour in a smart home; A data mining approach. Pervasive Mob. Comput. 2007, 3, 95-116.
18. Zheng, H.; Wang, H.; Black, N. Human Activity Detection in Smart Home Environment with Self-Adaptive Neural Networks. In Proceedings of IEEE International Conference Networking, Sensing and Control, Hainan, China, 6-8 April 2008; pp. 1505-1510.
19. Aggarwal, J.K.; Ryoo, M.S. Human activity analysis: A review. ACM Comput. Surv. 2011, 43, Article 16.
20. Folgado, E.; Rincón, M.; Carmona, E.J.; Bachiller, M. A block-based model for monitoring of human activity. Neurocomputing 2011, 74, 1283-1289.
21. Mocanu, I.; Florea, A.M. A Multi-Agent System for Human Activity Recognition in Smart Environments. In Proceedings of 5th International Symposium on Intelligent Distributed Computing, Delft, The Netherlands, 5-7 October 2011.
22. Atallah, L.; Lo, B.; King, R.; Yang, G.Z. Sensor positioning for activity recognition using wearable accelerometers. IEEE Trans. Biomed. Circuits Syst. 2011, 5, 320-329.
23. Corchado, J.M.; Bajo, J.; Abraham, A. GerAmi: Improving healthcare delivery in geriatric residences. IEEE Intell. Syst. 2008, 23, 19-25.
24. Xefteris, S.; Andronikou, V.; Tserpes, K.; Varvarigou, T. Case-based approach using behavioural biometrics aimed at Assisted Living. J. Ambient Intell. Humaniz. Comput. 2011, 2, 73-80.
25. ABI Research's Home Automation and Monitoring study. Available online: http://www.abiresearch.com/research/1005784-Home+Automation+and+Monitoring (accessed on 18 April 2012).
26. Miori, V.; Russo, D.; Aliberti, M. Domotic technologies incompatibility becomes user transparent. Commun. ACM 2010, 53, 153-157.
27. Papazoglou, M.P.; Georgakopolous, D. Service oriented computing. Commun. ACM 2003, 46, 24-28.
28. Schilit, B.; Adams, N.; Want, R. Context-Aware Computing Applications. In Proceedings of First Workshop on Mobile Computing Systems and Applications, Cairo, Egypt, 8-9 December 1994; pp. 85-90.
29. Miori, V.; Russo, D. An Adaptive and Anticipatory AmI Approach Tailored to User Needs. In Proceedings of 5th International Symposium on Ubiquitous Computing and Ambient Intelligence, Riviera Maya, Mexico, 5-9 December 2011: Article n. 13.
30. Frawley, W.; Piatetsky-Shapiro, G.; Matheus, C. Knowledge discovery in database-An overview. AI Mag. 1992, 13, 57-70.
31. Tan, P.N.; Steinbach, M.; Kumar, V. Introduction to Data Mining; Addison Wesley: Boston, MA, USA, 2005
32. Hand, D.; Mannila, H.; Smyth, P. Principles of Data Mining; MIT Press: Cambridge, MA, USA, 2001.
33. Tan, P.N.; Steinbach, M.; Kumar, V. Introduction to Data Mining; Addison: Boston, MA, USA, 2005.
34. Havlik, D.; Schade, S.; Sabeur, Z.A.; Mazzetti, P.; Watson, K.; Berre, A.J.; Mon, J.L. From sensor to observation web with environmental enablers in the future internet. Sensors 2011, 11, 3874-3907.
35. Martínez-Pérez, F.E.; González-Fraga, J.Á.; Cuevas-Tello, J.C.; Rodríguez, M.D. Activity inference for ambient intelligence through handling artifacts in a healthcare environment. Sensors 2012, 12, 1072-1099.
36. Juels, A.; Garfinkel, S.; Pappu, R. RFID privacy: An overview of problems and proposed solutions. IEEE Secur. Priv. 2005, 3, 34-43.
Weiser, M.. The computer for the twenty-first century. Sci. Am.. 1991; 3: 94-104
José, R., Rodrigues, H., Otero, N.. Ambient intelligence: Beyond the inspiring vision. J. Univ. Comput. Sci.. 2010; 16: 1480-1499
Isern, D., Sánchez, D., Moreno, A.. Agents applied in health care: A review. Int. J. Med. Inf.. 2010; 75: 145-166
Ali, R., Abdel-Naby, S., Mana, A., Munoz, A., Giorgini, P.. Agent Oriented AmI Engineering. 2008
Scholten, H., van Dijk, H., De Cock, D., Preneel, B., D'Hooge, M., Kung, A.. Secure Service Discovery in Home Networks. : 115-116
Tokunaga, E., Ishikawa, H., Kurahashi, M., Morimoto, Y., Nakajima, T.. A Framework for Connecting Home Computing Middleware. : 765-770
Pellegrino, P., Bonino, D., Corno, F.. Domotic House Gateway. : 1915-1920
Georgantas, N., Mokhtar, S.B., Bromberg, Y., Issarny, V., Kalaoja, J., Kantarovitch, J., Gerodolle, A., Mevissen, R.. The Amigo Service Architecture for the Open Networked Home Environment. : 295-296
Chin, J., Callaghan, V., Clarke, G.. A Programming by Example Approach to Customizing Digital Homes.
Humble, J., Crabtree, A., Hemmings, T., Åkesson, K.-P., Koleva, B., Rodden, T., Hansson, P., Anind, D., Schmidt, A., McCarthy, J.. Playing with the Bits: User-Configuration of Ubiquitous Domestic Environments. UbiComp 2003: Ubiquitous Computing. 2003; 2864: 256-263
Truong, K.N., Huang, E.M., Abowd, G.D.. CAMP: A Magnetic Petry Interface for End-User Programming of Capture Applications for the Home. : 143-160
Rivera-Illingworth, F., Callaghan, V., Hagras, H.. Automated Discovery of Human Activities Inside Pervasive Living Spaces. : 77-82
Cook, D.J., Youngblood, M., Heierman, E.O., Gopalratnam, K., Rao, S., Litvin, A., Khawaja, F.. MavHome: An Agent-Based Smart Home. : 521-524
Intille, S.S., Larson, K., Beaudin, J.S., Nawyn, J., Tapia, E.M., Kaushik, P.. A Living Laboratory for the Design and Evaluation of Ubiquitous Computing Technologies. : 1941-1944
Tapia, E.M., Intille, S.S., Larson, K., Ferscha, A., Mattern, F.. Activity Recognition in the Home Using Simple and Ubiquitous Sensors. Pervasive Computing. 2004; 3001: 158-175
Lühr, S., West, G., Venkatesh, S.. Recognition of emergent human behaviour in a smart home; A data mining approach. Pervasive Mob. Comput.. 2007; 3: 95-116
Zheng, H., Wang, H., Black, N.. Human Activity Detection in Smart Home Environment with Self-Adaptive Neural Networks. : 1505-1510
Aggarwal, J.K., Ryoo, M.S.. Human activity analysis: A review. ACM Comput. Surv. 2011 (43)
Folgado, E., Rincón, M., Carmona, E.J., Bachiller, M.. A block-based model for monitoring of human activity. Neurocomputing. 2011; 74: 1283-1289
Mocanu, I., Florea, A.M.. A Multi-Agent System for Human Activity Recognition in Smart Environments.
Atallah, L., Lo, B., King, R., Yang, G.Z.. Sensor positioning for activity recognition using wearable accelerometers. IEEE Trans. Biomed. Circuits Syst.. 2011; 5: 320-329
Corchado, J.M., Bajo, J., Abraham, A.. GerAmi: Improving healthcare delivery in geriatric residences. IEEE Intell. Syst.. 2008; 23: 19-25
Xefteris, S., Andronikou, V., Tserpes, K., Varvarigou, T.. Case-based approach using behavioural biometrics aimed at Assisted Living. J. Ambient Intell. Humaniz. Comput.. 2011; 2: 73-80
Miori, V., Russo, D., Aliberti, M.. Domotic technologies incompatibility becomes user transparent. Commun. ACM. 2010; 53: 153-157
Papazoglou, M.P., Georgakopolous, D.. Service oriented computing. Commun. ACM. 2003; 46: 24-28
Schilit, B., Adams, N., Want, R.. Context-Aware Computing Applications. : 85-90
Miori, V., Russo, D.. An Adaptive and Anticipatory AmI Approach Tailored to User Needs.
Frawley, W., Piatetsky-Shapiro, G., Matheus, C.. Knowledge discovery in database—An overview. AI Mag.. 1992; 13: 57-70
Tan, P.N., Steinbach, M., Kumar, V.. Introduction to Data Mining. 2005
Hand, D., Mannila, H., Smyth, P.. Principles of Data Mining. 2001
Havlik, D., Schade, S., Sabeur, Z.A., Mazzetti, P., Watson, K., Berre, A.J., Mon, J.L.. From sensor to observation web with environmental enablers in the future internet. Sensors. 2011; 11: 3874-3907
Martínez-Pérez, F.E., González-Fraga, J.Á., Cuevas-Tello, J.C., Rodríguez, M.D.. Activity inference for ambient intelligence through handling artifacts in a healthcare environment. Sensors. 2012; 12: 1072-1099
Juels, A., Garfinkel, S., Pappu, R.. RFID privacy: An overview of problems and proposed solutions. IEEE Secur. Priv.. 2005; 3: 34-43
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BibTeX entry
@article{oai:it.cnr:prodotti:229106,
title = {Meeting people's needs in a fully interoperable domotic environment},
author = {Miori V. and Russo D. and Concordia C.},
publisher = {Molecular Diversity Preservation International (MDPI),, Basel },
doi = {10.3390/s120606802},
journal = {Sensors (Basel)},
volume = {12},
pages = {6802–6824},
year = {2012}
}
0000-0001-9394-6257CNR ExploRA
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