An approach to structuring reasoning for interpretation of sensor data in home-based health and well-being monitoring applications

2011 5th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2011

Volumn , Issue , 2011, Pages 47-54

  Horst, Herman J Ter ^a   Sinitsyn, Alexander ^a  

^a PHILIPS RESEARCH LABORATORIES   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ELDERLY PEOPLE; INDEPENDENT LIVING; LOW-COST SENSORS; MODELING FORMALISMS; MONITORING APPLICATIONS; NUMERICAL COMPUTATIONS; ONTOLOGIES AND RULES; RDF DATA; SENSOR DATA; SERVICE REQUESTS; STRUCTURING KNOWLEDGE;

DATABASE SYSTEMS; HEALTH CARE; ONTOLOGY; UBIQUITOUS COMPUTING;

SENSORS;

EID: 80054908441     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.4108/icst.pervasivehealth.2011.246099     Document Type: Conference Paper

References (26)

1. A. Agostini, C. Bettini, D. Riboni: Hybrid reasoning in the CARE middleware for context awareness. Int. J. Web Engineering and Technology, 5, 3-23 (2009).
2. C. Bettini, O. Brdiczka, K. Henricksen, J. Indulska, D. Nicklas, A. Ranganathan, D. Riboni: A survey of context modelling and reasoning techniques. Pervasive and Mobile Computing, 6, 161-180 (2010).
3. S. Dalal, M. Alwan, R. Seifrafi, S. Kell, D. Brown: A rule-based approach to the analysis of elders' activity data. In: AAAI 2005. pp. 9-13
4. A.K. Dey: Understanding and using context. Personal and Ubiquitous Computing 5, 4-7 (2001).
5. M. ElHelw, J. Pansiot, D. McIlwraith, R. Ali, B. Lo, L. Atallah: An integrated multi-sensing framework for pervasive healthare monitoring. In: Pervasive Health 2009.
6. P. Hayes: Naive Physics I: Ontology for Liquids. In: J.R. Hobbs, R.C. Moore (Eds.): Formal Theories of the Commonsense World pp. 71-107 (1985)
7. P. Hayes: RDF Semantics, W3C Recommendation, http://www.w3.org/TR/2004/ REC-rdf-mt-20040210
8. K. Henricksen, J. Indulska: Developing context-aware pervasive computing applications: Models and approach. Pervasive and Mobile Computing 2, 37-64 (2006)
9. I. Horrocks, P.F. Patel-Schneider: Reducing OWL entailment to description logic satisfiability. Journal of Web Semantics 1, 345-357 (2004)
10. H.J. ter Horst, M. van Doorn, N. Kravtsova, W. ten Kate, D. Siahaan: Context-aware music selection using knowledge on the semantic web. Proc. 14th Belgium-Netherlands Conference on Artificial Intelligence pp. 131-138 (2002)
11. H.J. ter Horst: Completeness, decidability and complexity of entailment for RDF Schema and a semantic extension involving the OWL vocabulary. Journal of Web Semantics 3, 79-115 (2005)
12. H.J. ter Horst: Combining RDF and part of OWL with rules: Semantics, decidability, complexity. In: Proceedings 4th Int. Semantic Web Conference. vol. 3729, pp. 668-684. Springer LNCS (2005)
13. P. Hu, J. Indulska, R. Robinson: An autonomic context management system for pervasive computing. In: PERCOM 2008. pp. 213-223
14. A. Katz, A.B. Ford, R.W. Moskowitz, B.A. Jackson, M.W. Jaffee: Studies of illness in the aged. The index of ADL: A standardized measure of biological and psychosocial function. Journal of the American Medical Association, 185, pp. 94-101 (1963)
15. M.P. Lawton, E.M. Brody: Assessment of older people: Self-monitoring and instrumental activities of daily living. The Gerontologist, 9, pp. 179-186 (1969)
16. U. Naeem, J. Bigham: Recognising activities of daily life through the usage of everyday objects around the home. In: Pervasive Health 2009.
17. D. Nicklas, M. Grossmann, J. Mínguez, M. Wieland, M.: Adding high-level reasoning to efficient low-level context management: A hybrid approach. In: PERCOM 2008. pp. 447-452
18. A. Ranganathan, R.E. McGrath, R.H. Campbell, M.D. Mickunas: Use of ontologies in a pervasive computing environment. Knowledge Engineering Review, 18, 209-220 (2004)
19. A. Ranganathan, J. Al-Muhtadi, R.H. Campbell: Reasoning about uncertain contexts in pervasive computing environments. IEEE Pervasive Computing 3(2), 62-70 (2004)
20. D. Riboni, C. Bettini: COSAR: Hybrid reasoning for context-aware activity recognition. Personal and Ubiquitous Computing (2010)
21. R. Robinson, K. Henricksen, J. Indulska: XCML: A runtime representation for the Context Modelling Language. In: PERCOMW 2007. pp. 20-26
22. S. Russell, P. Norvig: Artificial Intelligence. Prentice Hall, Englewood Cliffs (1995)
23. D. Salber, A.K. Dey, G.D. Abowd: The context toolkit: Aiding the development of context-enabled applications. In: CHI 1999. pp. 434-441.
24. H. Storf, M. Becker, M. Riedl: Rule-based activity recognition framework: Challenges, technique and learning. In: Pervasive Health 2009.
25. E.M. Tapia, S.S. Intille, K. Larson: Activity recognition in the home using simple and ubiquitous sensors. In: PERVASIVE 2004. pp. 158-175
26. D.H. Wilson, C.G. Atkeson: Simultaneous tracking and activity recognition (STAR) using many anonymous, binary sensors. In PERVASIVE 2005. pp. 62-79