Management of uncertainty and spatio-temporal aspects for monitoring and diagnosis in a smart home

International Journal of Computational Intelligence Systems

Volumn 1, Issue 4, 2008, Pages 361-378

  Augusto, Juan Carlos ^a   Liu, Jun ^a   McCullagh, Paul ^a   Wang, Hui ^a   Yang, Jian Bo ^b  

^a UNIVERSITY OF ULSTER   (United Kingdom)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Ambient intelligence; Decision support; Monitoring and diagnosis; Smart home; Spatio temporal reasoning; Uncertainty

Indexed keywords

AMBIENT INTELLIGENCE; ASSISTIVE TECHNOLOGY; DEVELOPED COUNTRIES; EVENT-CONDITION-ACTION RULE; HEALTH SYSTEMS; INNOVATIVE TECHNOLOGY; MANAGEMENT OF UNCERTAINTY; MONITORING AND DIAGNOSIS; REASONING SYSTEM; RESEARCH AND DEVELOPMENT; SCARCE RESOURCES; SMART HOMES; SPATIO-TEMPORAL; SPATIO-TEMPORAL REASONING;

DECISION SUPPORT SYSTEMS; HEALTH CARE; INNOVATION;

KNOWLEDGE REPRESENTATION;

EID: 67650466198     PISSN: 18756891     EISSN: 18756883     Source Type: Journal    
DOI: 10.2991/ijcis.2008.1.4.8     Document Type: Article

References (54)

1. M. Andersson, K. Clough, I. J., L. Kennedy, and D. Preston. The impact of e-health and assistive technologies on healthcare. Technical report, September 2005. www.tehip.org.uk.
2. Department of Health. Improving chronic disease management. Technical report, March 2004. www.dh.gov.uk.
3. J. C. Augusto and D. J. Cook. Ambient Intelligence: applications in society and opportunities for AI. 20th International Joint Conference on Artificial Intelligence (IJCAI-07). 2007.
4. J. C. Augusto and P. McCullagh. Ambient intelligence: Concepts and applications. In Computer Science and Information Systems, volume 4, pages 1-28. ComSIS Consortium, 2007.
5. J. C. Augusto and Daniel Shapiro, editors. Advances in Ambient Intelligence, volume 164 of Frontiers in Artificial Intelligence and Applications (FAIA) series. IOS Press, 2007.
6. C. Ramos, J. C. Augusto, and D. Shapiro. Ambient intelligence - the next step for artificial intelligence (guest editors' introduction to the special issue on ambient intelligence). IEEE Intelligent Systems, 23(2):15-18, Mar/Apr 2008.
7. J. C. Augusto. Ambient Intelligence: the Confluence of Ubiquitous/Pervasive Computing and Artificial Intelligence, pages 213-234. Intelligent Computing Everywhere. Springer London, 2007.
8. M. Weiser. The computer for the 21st century. Scientific American, 265(3):94-104, 1991.
9. D. J. Cook and S. K. Das. Smart Environments: Technology, Protocols and Applications. Wiley-Interscience, 2005.
10. J. C. Augusto, H. Wang, and J. Liu. Situation assessment during disaster management. International Journal of Computational Intelligence System, 1(3):237-247, 2008.
11. J. C. Augusto and C. D. Nugent, editors. Designing Smart Homes: The role of Artificial Intelligence, volume 4008 of Lecture Notes in Artificial Intelligence. Springer Verlag, 2006.
12. P. Tang and T. Venables. Smart homes and telecare for independent living. J Telemed Telecare, 6(1):8-14, 2000.
13. V. Rialle, F. Duchene, N. Noury, L. Bajolle, and J. Demongeot. Health smart home: information technology Monitoring and Diagnosis in a Smart Home for patients at home. Telemed J E Health, 8(4):395-409, 2002.
14. J. C. Augusto, C. D. Nugent, S. Martin, and C. Olphert. Towards personalization of services and an integrated service model for smart homes applied to elderly care. In S. Giroux and H. Pigot, editors, Proceedings of International Conference on Smart Homes and health Telematic, pages 151-158. IOS Press, 2005. July 4-6.
15. Edited by: S. Giroux and H. Pigot, editors. From Smart Homes to Smart Care, Proceedings of ICOST 2005, Volume 15 of Assistive Technology Research Series. IOS Press, June 2005.
16. G. Williams, K. Doughty, and D. Bradley. A systems approach to achieving carernet an integrated and intelligent telecare system. IEEE Trans Inf Technol Biomed, 2(1):1-9, 1998.
17. A. Sixsmith. An evaluation of an intelligent home monitoring system. Journal of Telemedicine and Telecare, 6(2):63-72, 2000.
18. E. H. Shortliffe. Computer-based medical consultations: Mycin. Technical report, 1976. http://smi.stanford.edu/smiweb/research/details.jsp?PubId=12.
19. R. Dechter, I. Meiri, and J. Pearl. Temporal constraint networks. Artificial Intelligence, 49:61-95, 1991.
20. R. Bellazzi, P. Magni, and G. DeNicolao. Bayesian analysis of blood glucose time series from diabetes home monitoring. IEEE Trans Biomed Eng, 47(7):971-5, 2000.
21. D. Patterson, D. Fox, H. Kautz, and M. Philipose. Fine-grained activity recognition by aggregating abstract object usage. In Kiyoshi KIYOKAWA, editor, Proc. of IEEE 9th International Symposium on Wearable Computers, pages 220-221. IEEE, 2005. Oct 18-21.
22. J. B. Yang, J. Liu, J. Wang, H. S. Sii, and H. W. Wang. A belief rule-base inference methodology using the evidential reasoning approach RIMER. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 36(2):266-285, 2006.
23. J. C. Augusto and C. D. Nugent. The use of temporal reasoning and management of complex events in smart homes. In R. López de Mántaras and L. Saitta, editors, Proceedings of European Conference on Artificial Intelligence (ECAI 2004), pages 778-782. IOS Press (Amsterdam, The Netherlands), 2004. August, 22-27.
24. J. C. Augusto and C. D. Nugent. A new architecture for smart homes based on adb and temporal reasoning. In D. Zhang and M. Mokhtari, editors, Toward a Human Friendly Assistive Environment (Proceedings of 2nd International Conference On Smart homes and health Telematic), pages 106-113. IOS Press, 2004. Assistive Technology Research Series, Volume 14.
25. J. B. Yang. Rule and utility based evidential reasoning approach for multi-attribute decision analysis under uncertainties. European Journal of Operational Research, 131(1):31-61, 2001.
26. J. B. Yang and D. L. Xu. On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty. IEEE Transactions on Systems, Man, and Cybernetics (Part A: Systems and Humans), 32(3):289-304, 2002.
27. J. B. Yang and D. L. Xu. Nonlinear information aggregation via evidential reasoning in multi-attribute decision analysis under uncertainty. IEEE Transactions on Systems, Man, and Cybernetics (Part A: Systems and Humans), 32(3):376-393, 2002.
28. R. Sun. Robust reasoning: integrating rule-based and similarity-based reasoning. Artificial Intelligence, 75(2):241-295, 1995.
29. S. Parson. Current approaches to handling imperfect information in data and knowledge bases. IEEE Transactions on Knowledge and Data Engineering, 8(3):353-372, 1996.
30. J. Hodges, S. Bridges, C. Sparrow, B. Wooley, B. Tang, and C. Jun. The development of an expert system for the characterization of containers of contaminated waste. Expert Systems with Applications, 17(3):167-181, 1999.
31. G. L. Kong, D. L. Xu, and J. B. Yang. Clinical decision support systems: a review of knowledge representation and inference under uncertainties. International Journal of Computational Intelligence System, 1(2):159-167, 2008.
32. G. Abowd, A. Bobick, I. Essa, E. Mynatt, and W. Rogers. The aware home: Developing technologies for successful aging. In Proceedings of AAAI Workshop on Automation as a Care Giver, pages 1-7. AAAI Press, July 2002.
33. H. Schaaf. Siemens' smart home (t-com house). Technical report, June 2005.
34. D. Kelly. Smart support at home: the integration of telecare technology with primary and community care systems. The British Journal of Healthcare Computing and Information Management, 22(3):19-21, 2005.
35. D. Cook and S. Das. Smart Environments: Technologies, Protocols and Applications. Wiley and Sons, 2005.
36. J. C. Augusto and C. D. Nugent. Designing Smart Homes: the role of Artificial Intelligence. Springer Verlag, 2006.
37. D. Cook. Health monitoring and assistance to support aging in place. Journal of Universal Computer Science - (Special Issue on "Pervasive Health Management: new challenges for Health Informatics"), 12(1), 2006.
38. Z. Z. Bien, H.-E. Lee, J.-H. Do, Y.-H. Kim, K.-H. Park, and S.-E. Yang. Intelligent interaction for human-friendly service robot in smart house environment. International Journal of Computational Intelligence System, 1(1):77-93, 2008.
39. N. Paton and O. Diaz. Active database systems. ACM Computing Surveys, 31(1):63-103, 1999.
40. A. Galton. Qualitative Spatial Change. Oxford University Press, 2000.
41. R. Davis. Truth, Deduction, and Computation: Logic and Semantics for Computer Science. Computer Science Press, 1989.
42. R. Alur and T.A. Henzinger. Logics and Models of Real-Time: A Survey. In Real Time: Theory in Practice, volume 600, pages 74-106. Springer-Verlag, 1991.
43. G. Shafer. A Mathematical Theory of Evidence. Princeton University Press, Princeton, N.J., 1976.
44. C. L. Huang and K. Yoon. Multiple Attribute Decision Making Methods and Applications, A State-of-Art Survey. Springer-Verlag, 1981.
45. V. Belton and T. J. Stewart. Multiple Criteria Decision Analysis: An Integrated Approach. Kluwer, 2002.
46. L.A. Zadeh. Fuzzy sets. Information and Control, 8:338-353, 1965.
47. L. A. Zadeh. The concept of a linguistic variable and its application to approximate reasoning i. Information Science, 8:199-249, 1975.
48. L.A. Zadeh. The concept of a linguistic variable and its application to approximate reasoning ii. Information Science, 8:301-357, 1975.
49. L. A. Zadeh. The concept of a linguistic variable and its application to approximate reasoning iii. Information Science, 9:43-80, 1975.
50. J. B. Yang and M. G. Singh. An evidential reasoning approach for multiple attribute decision making with uncertainty. IEEE Transactions on Systems, Man, and Cybernetics, 24(1):1-18, 1994.
51. J. B. Yang and P. Sen. A general multi-level evaluation process for hybrid madm with uncertainty. IEEE Transactions on Systems, Man, and Cybernetics, 24(10):1458-1473, 1994.
52. J. B. Yang and D. L. Xu. Intelligent Decision System via Evidential Reasoning. IDSL, Cheshire, England, 1999.
53. J. B. Yang, J. Liu, D. L. Xu, J. Wang, and H. W. Wang. Optimisation models for training belief rule based systems. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 37(4):569-585, 2005.
54. J. Liu, J.B. Yang, D. Ruan, L. Martinez, and J. Wang. Self-tuning of fuzzy belief rule bases for engineering system safety analysis. Annals of Operations Research, 163(1):143-168, 2008.