A foundational ontology-based model for human activity representation in smart homes

Journal of Ambient Intelligence and Smart Environments

Volumn 8, Issue 1, 2016, Pages 47-61

  Ni, Qin ^a   De La Cruz, Iván Pau ^a   Hernando, Ana Belén García ^a  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

Activity modelling; e health services; ontology; semantic interoperability; smart homes

Indexed keywords

AUTOMATION; INTEROPERABILITY; ONTOLOGY; PATTERN RECOGNITION; REUSABILITY; SEMANTICS;

ACTIVITY MODELLING; AMBIENT ASSISTED LIVING; E-HEALTH SERVICES; FOUNDATIONAL ONTOLOGIES; HEALTHCARE MONITORING; HUMAN-ACTIVITY DETECTION; SEMANTIC INTEROPERABILITY; SMART HOMES;

INTELLIGENT BUILDINGS;

EID: 84954167061     PISSN: 18761364     EISSN: None     Source Type: Journal    
DOI: 10.3233/AIS-150359     Document Type: Article

References (31)

1. J.F. Allen, Maintaining knowledge about temporal intervals., Communications of the ACM 26 (1983), 832-843.
2. H.T. Chaminda, V. Klyuev and K. Naruse, A smart reminder system for complex human activities, in: 14th IEEE International Conference on Advanced Communication Technology, 2012, pp. 235-240.
3. H. Chen, T. Finin and A. Joshi, The SOUPA ontology for pervasive computing, in: Ontologies for Agents: Theory and Experiences, Springer, 2005, pp. 233-258.
4. L. Chen, C. Nugent and A. Bashrawi, Semantic data management for situation-aware assistance in ambient assisted living, in: 11th ACM International Conference on Information Integration and Web-Based Applications & Services, 2009, pp. 298-305.
5. L. Chen, C. Nugent and H. Wang, A knowledge-driven approach to activity recognition in smart homes., IEEE Trans. Knowledge and Data Engineering 24 (2012), 961-974.
6. M. Daoutis, S. Coradeschi and A. Loutfi, Grounding commonsense knowledge in intelligent systems., Journal of Ambient Intelligence and Smart Environments 1 (2009), 311-321.
7. A.K. Dey, Understanding and using context., Personal and Ubiquitous Computing 5 (2001), 4-7.
8. A. Gangemi and P. Mika, Understanding the semantic web through descriptions and situations, in: The Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE, Springer, Berlin, Heidelberg, 2003, pp. 689-706.
9. K. Giannakouris, Ageing characterises the demographic perspectives of the European societies, Statistics in Focus 72 (2008).
10. A. Gomez-Perez, M. Fernández-López and O. Corcho-Garcia, Ontological engineering., Computing Reviews 45 (2004), 478-479.
11. H.J.T. Horst and A.G. Sinitsyn, Structuring reasoning for interpretation of sensor data in home-based health and well-being monitoring applications., Journal of Ambient Intelligence and Smart Environments 4 (2012), 461-476.
12. M. Hussain, T. Ali, W.A. Khan, M. Afzal, S. Lee and K. Latif, Recommendations service for chronic disease patient in multimodel sensors home environment., Telemedicine and e-Health 21 (2015), 185-199.
13. C. Keβler, M. Raubal and C. Wosniok, Semantic rules for context-aware geographical information retrieval, in: Smart Sensing and Context, Springer, Berlin, Heidelberg, 2009, pp. 77-92.
14. J. Lloret, A. Canovas, S. Sendra and L. Parra, A smart communication architecture for ambient assisted living., IEEE Communications Magazine 53 (2015), 26-33.
15. L.M. McAvoy, L. Chen and M. Donnelly, A generic upper-level ontological model for context-aware applications within smart environments, in: Ubiquitous Computing and Ambient Intelligence. Context-Awareness and Context-Driven Interaction, Springer International Publishing, 2013, pp. 270-277.
16. G. Meditskos, S. Dasiopoulou and I. Kompatsiaris, Metaq: A knowledge-driven framework for context-aware activity recognition combining SPARQL and OWL 2 activity patterns, Pervasive and Mobile Computing (2015).
17. E. Nazerfard and D.J. Cook, Using Bayesian networks for daily activity prediction, in: AAAI Workshop: Plan, Activity, and Intent Recognition, 2013.
18. G. Okeyo, L. Chen and H. Wang, Combining ontological and temporal formalisms for composite activity modelling and recognition in smart homes., Future Generation Computer Systems 39 (2014), 29-43.
19. T. Pulkkinen, Y.S. Son, J. Lee, Y.H. Lee, M. Sallinen and J.H. Park, Progressive monitoring and treatment planning of diabetes mellitus in smart home environment, in: IEEE International Conference on Consumer Electronics, 2013, pp. 206-207.
20. D. Riboni, C. Bettini, G. Civitarese, Z.H. Janjua and R. Helaoui, Extended report: Fine-grained recognition of abnormal behaviors for early detection of mild cognitive impairment, arXiv:1501.05581, 2015.
21. L.Á. San Martín, V. Peláez and R. González, Environmental user preference learning for smart homes., Intelligent Environments 2 (2009), 177-184.
22. A. Scherp, T. Franz, C. Saathoff and S. Staab, F- A model of events based on the foundational ontology dolce+DnS ultralight, in: Fifth ACM International Conference on Knowledge Capture, 2009, pp. 137-144.
23. K.L. Skillen, L. Chen, C. Nugent, M. Donnelly, W. Burns and I. Solheim, Using SWRL and ontological reasoning for the personalization of context-aware assistive services, in: 6th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2013, p. 48.
24. M.C. Suárez-Figueroa, NeOn methodology for building ontology networks: Specification, scheduling and reuse, Ph.D. dissertation, Universidad Politecnica de Madrid, 2010.
25. S.P. Syväniemi, A. Purhonen and E. Ovaska, Situation-based and self-adaptive applications for the smart environment., Journal of Ambient Intelligence and Smart Environments 4 (2012), 491-516.
26. Y. Tong and R. Chen, Latent-dynamic conditional random fields for recognizing activities in smart homes., Journal of Ambient Intelligence and Smart Environments 6 (2014), 39-55.
27. M.Z. Uddin, D.H. Kim, J.T. Kim and T.S. Kim, An indoor human activity recognition system for smart home using local binary pattern features with hidden Markov models., Indoor and Built Environment 22 (2013), 289-298.
28. C.G. Vallerand, B. Abdulrazak and S. Giroux, A context-aware service provision system for smart environments based on the user interaction modalities., Journal of Ambient Intelligence and Smart Environments 5 (2013), 47-64.
29. W.R. Van Hage, V. Malaisé R. Segers, L. Hollink and G. Schreiber, Design and use of the simple event model (SEM)., Web Semantics: Science, Services and Agents on the World Wide Web 9 (2011), 128-136.
30. X.H. Wang, D.Q. Zhang, T. Gu and H.K. Pung, Ontology based context modeling and reasoning using owl, in: Second IEEE Annual Conference on Pervasive Computing and Communications Workshops, 2004, pp. 18-22.
31. S. Zhang, P. McCullagh, C. Nugent, H. Zheng and N. Black, An ontological framework for activity monitoring and reminder reasoning in an assisted environment., Journal of Ambient Intelligence and Humanized Computing 4 (2013), 157-168.