Situation identification techniques in pervasive computing: A review

Pervasive and Mobile Computing

Volumn 8, Issue 1, 2012, Pages 36-66

  Ye, Juan ^a   Dobson, Simon ^a   McKeever, Susan ^b  

^a UNIVERSITY OF ST ANDREWS   (United Kingdom)

^b DUBLIN INSTITUTE OF TECHNOLOGY   (Ireland)

Author keywords

Context modelling; Data mining; Machine learning; Ontologies; Pervasive computing; Situation identification; Temporal reasoning; Uncertain reasoning

Indexed keywords

DATA MINING; LEARNING SYSTEMS; ONTOLOGY;

ADAPTIVE BEHAVIOUR; COMPREHENSIVE ANALYSIS; CONTEXT MODELLING; ENABLING TECHNOLOGIES; RESEARCH OPPORTUNITIES; SITUATION IDENTIFICATIONS; TEMPORAL REASONING; UNCERTAIN REASONING;

UBIQUITOUS COMPUTING;

EID: 84856115129     PISSN: 15741192     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pmcj.2011.01.004     Document Type: Review

References (156)

1. K. Henricksen, and J. Indulska Developing context-aware pervasive computing applications: models and approach Pervasive and Mobile Computing 2 1 2006 37 64 (Pubitemid 43200497)
2. D.J. Cook, and S.K. Das How smart are our environments? an updated look at the state of the art Pervasive Mobile Computing 3 2 2007 53 73 (Pubitemid 46329625)
3. P.D. Costa, G. Guizzardi, J.P.A. Almeida, L.F. Pires, and M. van Sinderen Situations in conceptual modeling of context EDOCW'06: Proceedings of the 10th IEEE on International Enterprise Distributed Object Computing Conference Workshops October 2006 IEEE Computer Society Hong Kong, China 6 16
4. P. Olivier, G. Xu, A. Monk, and J. Hoey Ambient kitchen: designing situated services using a high fidelity prototyping environment PETRA'09: Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments 2009 ACM Corfu, Greece pp. 47:147:7
5. B. Logan, J. Healey, M. Philipose, E.M. Tapia, and S.S. Intille A long-term evaluation of sensing modalities for activity recognition UbiComp'07: Proceedings of the 9th International Conference on Ubiquitous Computing September 2007 Springer-Verlag Innsbruck, Austria 483 500
6. M. Mhlenbrock, O. Brdiczka, D. Snowdon, and J.-L. Meunier Learning to detect user activity and availability from a variety of sensor data PERCOM'04: Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications March 2004 IEEE Computer Society Orlando, Florida 13 22
7. S. McKeever, J. Ye, L. Coyle, S. Dobson, A multilayered uncertainty model for context aware systems, in: Adjunct Proceedings of the International Conference on Pervasive Computing: Late Breaking Result, Sydney, Australia, May 2008, pp. 14.
8. K. Henricksen, J. Indulska, Modelling and using imperfect context information, in: Proceedings of PERCOM'04 Workshops, 2004, pp. 3337.
9. L. Atallah, and G.-Z. Yang The use of pervasive sensing for behaviour profiling a survey Pervasive and Mobile Computing 5 2009 447 464
10. T. van Kasteren, A. Noulas, G. Englebienne, and B. Krse Accurate activity recognition in a home setting UbiComp'08: Proceedings of the 10th International Conference on Ubiquitous Computing September 2008 ACM Seoul, Korea 1 9
11. G. Castellano, S.D. Villalba, and A. Camurri Recognising human emotions from body movement and gesture dynamics ACII'07: Proceedings of the 2nd International Conference on Affective Computing and Intelligent Interaction 2007 Springer-Verlag Berlin, Heidelberg, Lisbon, Portugal 71 82
12. A. Bulling, J.A. Ward, H. Gellersen, and G. Trster Robust recognition of reading activity in transit using wearable electrooculography Pervasive'08: Proceedings of the 6th International Conference on Pervasive Computing 2008 Springer-Verlag Berlin, Heidelberg 19 37
13. J. Ye, S. McKeever, L. Coyle, S. Neely, and S. Dobson Resolving uncertainty in context integration and abstraction ICPS'08: Proceedings of the International Conference on Pervasive Services July 2008 ACM Sorrento, Italy 131 140
14. H.R. Schmidtke, and W. Woo Towards ontology-based formal verification methods for context aware systems Pervasive'09: Proceedings of the 7th International Conference on Pervasive Computing 2009 Springer-Verlag Berlin, Heidelberg 309 326
15. J. Ye, L. Coyle, S. Dobson, P. Nixon, Using situation lattices to model and reason about context, in: MRC 2007: Proceedings of the Workshop on modeling and reasoning on context (coexist with CONTEXT'07), Roskilde, Denmark, August 2007, pp. 112.
16. I. McCowan, D. Gatica-Perez, S. Bengio, G. Lathoud, M. Barnard, and D. Zhang Automatic analysis of multimodal group actions in meetings IEEE Transactions on Pattern Analysis and Machine Intelligence 27 2005 305 317 (Pubitemid 40377324)
17. D. Choujaa, and N. Dulay Activity inference through sequence alignment LoCA'09: Proceedings of the 4th International Symposium on Location and Context Awareness 2009 Springer-Verlag Berlin, Heidelberg 19 36
18. V.R. Jakkula, A.S. Crandall, and D.J. Cook Knowledge discovery in entity based smart environment resident data using temporal relation based data mining ICDMW'07: Proceedings of the Seventh IEEE International Conference on Data Mining Workshops 2007 IEEE Computer Society Washington, DC, USA 625 630
19. J. Ye, L. Coyle, S. Dobson, and P. Nixon Ontology-based models in pervasive computing systems The Knowledge Engineering Review 22 04 2007 315 347 (Pubitemid 351665096)
20. S.W. Loke Incremental awareness and compositionality: a design philosophy for context-aware pervasive systems Pervasive and Mobile Computing 6 2 2010 239 253
21. T. Gu, X.H. Wang, H.K. Pung, D.Q. Zhang, An ontology-based context model in intelligent environments, in: CNDS'04: Proceedings of the Conference on Communication Network and Distributed Systems, January 2004, pp. 270275.
22. A. Ranganathan, J. Al-Muhtadi, and R.H. Campbell Reasoning about uncertain contexts in pervasive computing environments IEEE Pervasive Computing 03 2 2004 62 70
23. H. Chen, T. Finin, and A. Joshi An ontology for context-aware pervasive computing environments Knowledge Engineering Review 18 3 2004 197 207 Special Issue on Ontologies for Distributed Systems
24. A. Ranganathan, R.E. Mcgrath, R.H. Campbell, and M.D. Mickunas Use of ontologies in a pervasive computing environment Knowledge Engineering Review 18 3 2004 209 220
25. T. Strang, C. Linnhoff-Popien, A context modeling survey, in: Proceedings of the Workshop on Advanced Context Modelling, Reasoning and Management as part of UbiComp 2004, Nottingham, England, September 2004.
26. P. Delir Haghighi, S. Krishnaswamy, A. Zaslavsky, and M.M. Gaber Reasoning about context in uncertain pervasive computing environments EuroSSC'08: Proceedings of the 3rd European Conference on Smart Sensing and Context 2008 Springer-Verlag Berlin, Heidelberg 112 125
27. C.B. Anagnostopoulos, Y. Ntarladimas, and S. Hadjiefthymiades Situational computing: an innovative architecture with imprecise reasoning Journal of System and Software 80 12 19932014
28. X. Hong, C. Nugent, M. Mulvenna, S. McClean, B. Scotney, and S. Devlin Evidential fusion of sensor data for activity recognition in smart homes Pervasive and Mobile Computing 5 2009 236 252
29. S. Mckeever, J. Ye, L. Coyle, C. Bleakley, and S. Dobson Activity recognition using temporal evidence theory Journal of Ambient Intelligence and Smart Environment 2 3 2010 253 269
30. D.J. Patterson, L. Liao, D. Fox, and H. Kautz Inferring high-level behavior from low-level sensors Ubicomp'03: Proceedings of Proceedings of the 5th International Conference on Ubiquitous Computing 2003 Springer Berlin, Heidelberg 73 89
31. E.M. Tapia, S.S. Intille, K. Larson, Activity recognition in the home using simple and ubiquitous sensors, in: Pervasive'04: Proceedings of the international conference on Pervasive Computing, 2004, pp. 158175.
32. T. Gu, H.K. Pung, D.Q. Zhang, A Bayesian approach for dealing with uncertain contexts, in: Proceedings of Advances in Pervasive Computing, coexisted with Pervasive'04. Austrian Computer Society, April 2004, pp. 205210.
33. T. van Kasteren, B. Krose, Bayesian activity recognition in residence for elders, in: IE'07: Proceedings of the third IET International Conference on Intelligent Environments, September 2007, pp. 209212.
34. C. Wojek, K. Nickel, R. Stiefelhagen, Activity recognition and room-level tracking in an office environment, in: MFI'06: Proceedings of 2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, September 2006, pp. 2530. (Pubitemid 351409402)
35. M.K. Hasan, H.A. Rubaiyeat, Y.-K. Lee, S. Lee, A reconfigurable HMM for activity recognition, in: ICACT'08: Proceedings of 10th International Conference on Advanced Communication Technology, Vol. 1, 2008, pp. 843846. (Pubitemid 351720624)
36. D.L. Vail, M.M. Veloso, and J.D. Lafferty Conditional random fields for activity recognition AAMAS'07: Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems 2007 ACM New York, NY, USA 1 8
37. D. Moore, I. Essa, Recognizing multitasked activities from video using stochastic context-free grammar, in: Eighteenth national conference on Artificial intelligence, American Association for Artificial Intelligence, Menlo Park, CA, USA, 2002, pp. 770776.
38. M.S. Ryoo, and J.K. Aggarwal Recognition of composite human activities through context-free grammar based representation CVPR'06: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2006 IEEE Computer Society Washington, DC, USA 1709 1718
39. P. Turaga, R. Chellappa, V.S. Subrahmanian, and O. Udrea Machine recognition of human activities: a survey IEEE Transactions on Circuits and Systems for Video Technology 18 11 2008 1473 1488
40. L. Bao, S.S. Intille, Activity recognition from user-annotated acceleration data, in: Pervasive'04: Proceedings of the Second International Conference on Pervasive Computing, Vienna, Austria, April 2004, pp. 117.
41. J.-Y. Yang, J.-S. Wang, and Y.-P. Chen Using acceleration measurements for activity recognition: an effective learning algorithm for constructing neural classifiers Pattern Recognition Letter 29 16 2008 2213 2220
42. S.N. Patel, T. Robertson, J.A. Kientz, M.S. Reynolds, and G.D. Abowd At the flick of a switch: detecting and classifying unique electrical events on the residential power line UbiComp'07: Proceedings of the 9th International Conference on Ubiquitous Computing 2007 Springer-Verlag Berlin, Heidelberg 271 288
43. T. Kanda, D.F. Glas, M. Shiomi, H. Ishiguro, and N. Hagita Who will be the customer?: a social robot that anticipates people's behavior from their trajectories UbiComp'08: Proceedings of the 10th International Conference on Ubiquitous Computing 2008 ACM Seoul, Korea 380 389
44. G. Thomson, S. Terzis, P. Nixon, Situation determination with reusable situation specifications, in: Proceedings of the Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops, 2006, pp. 620623. (Pubitemid 44612656)
45. M. Perkowitz, M. Philipose, K. Fishkin, and D.J. Patterson Mining models of human activities from the web WWW'04: Proceedings of the 13th International Conference on World Wide Web 2004 ACM New York, NY, USA 573 582 (Pubitemid 40752791)
46. E.M. Tapia, T. Choudhury, and M. Philipose Building reliable activity models using hierarchical shrinkage and mined ontology Pervasive'06: Proceedings of the 4th International Conference on Pervasive Computing Lecture Notes in Computer Science vol. 3968 May 2006 Springer Dublin, Ireland 17 32 (Pubitemid 44044749)
47. P. Palmes, H.K. Pung, T. Gu, W. Xue, and S. Chen Object relevance weight pattern mining for activity recognition and segmentation Pervasive Mobile Computing 6 1 2010 43 57
48. R. Hamid, S. Maddi, A. Bobick, and I. Essa Unsupervised analysis of activity sequences using event-motifs VSSN'06: Proceedings of the 4th ACM International Workshop on Video Surveillance and Sensor Networks 2006 ACM New York, NY, USA 71 78 (Pubitemid 47168326)
49. R. Hamid, S. Maddi, A. Johnson, A. Bobick, I. Essa, and C. Isbell A novel sequence representation for unsupervised analysis of human activities Artificial Intelligence 173 14 2009 1221 1244
50. O. Brdiczka, J. Maisonnasse, P. Reignier, and J.L. Crowley Detecting small group activities from multimodal observations International Journal of Applied Intelligence 30 1 2009 47 57
51. O. Brdiczka, J.L. Crowley, and P. Reignier Learning situation models in a smart home IEEE Transactions on System, Man and Cybernetics, Part B 39 1 2009 56 63
52. T. Gu, H.K. Pung, and D.Q. Zhang A service-oriented middleware for building context-aware services Journal of Network and Computer Applications 28 1 2005 1 18 (Pubitemid 40146066)
53. S.W. Loke Representing and reasoning with situations for context-aware pervasive computing: a logic programming perspective Knowledge Engineering Review 19 3 2004 213 233 (Pubitemid 40930222)
54. S.W. Loke, Logic programming for context-aware pervasive computing: language support, characterizing situations, and integration with the web, in: WI'04: Proceedings of 2004 IEEE/WIC/ACM International Conference on Web Intelligence, Beijing, China, September 2004, pp. 4450. (Pubitemid 40401078)
55. M. Bhatt, and S. Loke Modelling dynamic spatial systems in the situation calculus Spatial Cognition and Computation 8 1&2 2008 86 130
56. J. McCarthy, S. Buvac, Formalizing context (expanded notes). Tech. Rep., Stanford University, Stanford, CA, USA, 1994.
57. J. McCarthy, Situation calculus with concurrent events and narrative, April 2000. http://www-formal.stanford.edu/jmc/narrative/narrative.html, web only.
58. B. Li, and J. Lijima A survey on application of situation calculus in business information systems ICCIT'07: Proceedings of the 2007 International Conference on Convergence Information Technology November 2007 IEEE Computer Society Gyeongju, Korea pp. 425424
59. H. Levesque, F. Pirri, and R. Reiter Foundations for the situation calculus Electronic Transactions on Artificial Intelligence 2 34 1998 159 178
60. R. Michael, and D. Funder Situational similarity and behavioral consistency: subjective, objective, variable-centered, and person-centered approaches Journal of Research in Personality 38 5 2004 421 447 (Pubitemid 39173789)
61. A. Kalyan, S.,V,S. Gopalan, Hybrid context model based on multilevel situation theory and ontology for contact centers, in: PERCOMW'05: Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops, 2005, pp. 37.
62. D.J. Cook, J.C. Augusto, and V.R. Jakkula Ambient intelligence: technologies, applications, and opportunities Pervasive and Mobile Computing 5 4 2009 277 298
63. J.C. Augusto, J. Liu, P. McCullagh, H. Wang, and J.-B. Yang Management of uncertainty and spatio-temporal aspects for monitoring and diagnosis in a smart home International Journal of Computational Intelligence Systems 1 4 2008 361 378
64. B. Gottfried, H.W. Guesgen, and S. Hbner Spatiotemporal reasoning for smart homes Designing Smart Homes 4008 2006 16 34 (Pubitemid 350278857)
65. L. Chen, C. Nugent, M. Mulvenna, D. Finlay, and X. Hong Semantic smart homes: towards knowledge rich assisted living environments Intelligent Patient Management 189 2009 279 296
66. N. Yamada, K. Sakamoto, G. Kunito, Y. Isoda, K. Yamazaki, and S. Tanaka Applying ontology and probabilistic model to human activity recognition from surrounding things IPSJ Digital Courier 3 2007 506 517
67. G. Stevenson, S. Knox, S. Dobson, and P. Nixon Ontonym: a collection of upper ontologies for developing pervasive systems CIAO'09: Proceedings of the 1st Workshop on Context, Information and Ontologies June 2009 ACM Heraklion, Greece pp. 9:19:8
68. R. Nevatia, J. Hobbs, and B. Bolles An ontology for video event representation CVPRW'04: Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop Volume 7 2004 IEEE Computer Society Washington, DC, USA pp. 119119
69. H. Luo, and J. Fan Building concept ontology for medical video annotation MULTIMEDIA'06: Proceedings of the 14th Annual ACM International Conference on Multimedia 2006 ACM New York, NY, USA 57 60 (Pubitemid 47113503)
70. J.C. SanMiguel, J.M. Martinez, and A. Garcia An ontology for event detection and its application in surveillance video Proceedings of SIXTH IEEE International Conference on Advanced Video and Signal Based Surveillance, Vol. 0 2009 IEEE Computer Society Los Alamitos, CA, USA 220 225
71. G. Stevenson, J. Ye, S. Dobson, and P. Nixon Loc8: a location model and extensible framework for programming with location IEEE Pervasive Computing 9 1 2010 28 37
72. F. Latfi, B. Lefebvre, C. Descheneaux, Ontology-based management of the telehealth smart home, dedicated to elderly in loss of cognitive autonomy, in: Proceedings of the OWLED 2007 Workshop on OWL: Experiences and Directions. Innsbruck, Austria, June 2007.
73. C. Bettini, O. Brdiczka, K. Henricksen, J. Indulska, D. Nicklas, A. Ranganathan, and D. Riboni A survey of context modelling and reasoning techniques Pervasive and Mobile Computing 6 2 2010 161 180
74. D. Riboni, and C. Bettini Context-aware activity recognition through a combination of ontological and statistical reasoning Proceedings of the international conference on Ubiquitous Intelligence and Computing 2009 Springer Berlin, Heidelberg 39 53
75. C.J. Matheus, M.M. Kokar, and K. Baclawski A core ontology for situation awareness Proceedings of the Sixth International Conference of Information Fusion July 2003 Versatile Information Systems, Inc. Queensland, Australia 545 552
76. B. Mrohs, M. Luther, R. Vaidya, M. Wagner, S. Steglich, W. Kellerer, S. Arbanowski, Owl-sf-a distributed semantic service framework, in: Proceedings of the 1st Workshop on Context Awareness for Proactive Systems, 2005, pp. 6678.
77. S.S. Yau, and J. Liu Hierarchical situation modeling and reasoning for pervasive computing SEUS-WCCIA'06: Proceedings of the The Fourth IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, and the Second International Workshop on Collaborative Computing, Integration, and Assurance 2006 IEEE Computer Society Washington, DC, USA 5 10 (Pubitemid 44724815)
78. N. Weißsenberg, R. Gartmann, and A. Voisard An ontology-based approach to personalized situation-aware mobile service supply Geoinformatica 10 1 2006 55 90 (Pubitemid 43223060)
79. A. Smirnov, A. Kashevnik, T. Levashova, M. Pashkin, N. Shilov, Situation modeling in decision support systems, in: KIMAS'07: Proceedings of International Conference on Integration of Knowledge Intensive Multi-Agent Systems, May 2007, pp. 3439. (Pubitemid 47432325)
80. N. Baumgartner, W. Retschitzegger, Towards a situation awareness framework based on primitive relations, in: IDC'07: Proceedings of the international conference on Information, Decision and Control, February 2007, pp. 291295. (Pubitemid 47449601)
81. M. Klein, A. Schmidt, R. Lauer, Ontology-centred design of an ambient middleware for assisted living: the case of soprano, in: T. Kirste, B. Knig-Ries, R. Salomon (Eds.), Proceedings of Towards Ambient Intelligence: Methods for Cooperating Ensembles in Ubiquitous Environments (AIM-CU), co exists with 30th Annual German Conference on Artificial Intelligence (KI 2007), 2007. http://publications.andreas.schmidt.name/kleinschmidtlauerAIM-CUKI07.pdf.
82. L.A. Zadeh Fuzzy sets Information and Control 8 1965 338 353
83. H.J. Zimmermann An application-oriented view of modeling uncertainty European Journal of Operational Research 122 2 2000 190 198
84. A.P. Dempster A generalization of bayesian inference The Royal Statistical Society, Series B 30 1968 205 247
85. G. Shafer A Mathematical Theory of Evidence 1976 Princeton University Press
86. K. Sentz, S. Ferson, Combination of evidence in dempster-shafer theory, Tech. Rep. SAND 2002-0835, Sandia National Laboratories, 2002.
87. D. Zhang, J. Cao, J. Zhou, and M. Guo Extended dempster-shafer theory in context reasoning for ubiquitous computing environments CSE'09: Proceedings of the 2009 International Conference on Computational Science and Engineering 2009 IEEE Computer Society Washington, DC, USA 205 212
88. S. McKeever, J. Ye, L. Coyle, and S. Dobson Using dempster-shafer theory of evidence for situation inference P.M. Barnaghi, K. Moessner, M. Presser, S. Meissner, EuroSSC 2009: Proceedings of the 4th European Conference on Smart Sensing and Context Lecture Notes in Computer Science vol. 5741 2009 Springer 149 162
89. S. McKeever, J. Ye, L. Coyle, and S. Dobson A context quality model to support transparent reasoning with uncertain context K. Rothermel, D. Fritsch, W. Blochinger, F. Drr, QuaCon'09: Proceedings of the 1st International Workshop on Quality of Context Lecture Notes in Computer Science vol. 5786 2009 Springer 65 75 http://dblp.uni-trier.de/db/conf/quacon/quacon2009.htmlMcKeeverYCD09
90. T. Huynh, M. Fritz, and B. Schiele Discovery of activity patterns using topic models UbiComp'08: Proceedings of the 10th International Conference on Ubiquitous Computing 2008 ACM New York, NY, USA 10 19
91. D. Lowd, and P. Domingos Naive bayes models for probability estimation ICML'05: Proceedings of the 22nd International Conference on Machine Learning 2005 ACM Bonn, Germany 529 536 (Pubitemid 43183375)
92. J. Han, and M. Kamber Data Mining: Concepts and Techniques 2006 Morgan Kaufmann
93. Z. Ding, Y. Peng, A probabilistic extension to ontology language OWL, in: HICSS'04: Proceedings of the 37th Annual Hawaii International Conference on System Sciences, 2004, pp. 110.
94. W. Abdelsalam, Y. Ebrahim, A Bayesian-networks-based approach for managing uncertainty in location-tracking, in: Proceedings of the Canadian Conference on Electrical and Computer Engineering, vol. 4., May 2004, pp. 22052208.
95. B.A. Truong, Y.-K. Lee, S.-Y. Lee, Modeling uncertainty in context-aware computing, in: ICIS'05: Proceedings of the Fourth Annual ACIS International Conference on Computer and Information Science, 2005, pp. 676681. (Pubitemid 44160310)
96. J.C. Hoffman, R.R. Murphy, Comparison of Bayesian and DempsterShafer theory for sensing: a practitioner's approach, in: Proceedings of Neural and Stochastic Methods in Image and Signal Processing II, Vol. 2032, October 1993, pp. 266279.
97. L.R. Rabiner A tutorial on hidden markov models and selected applications in speech recognition Readings in Speech Recognition 1990 267 296
98. L.E. Baum, T. Petrie, G. Soules, and N. Weiss A maximization technique occurring in the statistical analysis of probabilistic functions of markov chains The Annals of Mathematical Statistics 41 1 1970 164 171
99. L.R. Welch Hidden markov models and the baum-welch algorithm IEEE Information Theory Society Newsletter 53 4 2003
100. B. Clarkson, A. Pentland, Unsupervised clustering of ambulatory audio and video, in: ICASSP'99: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 1999, pp. 30373040.
101. T.V. Duong, H.H. Bui, D.Q. Phung, S. Venkatesh, Activity recognition and abnormality detection with the switching hidden semi-markov model, in: CVPR'05: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Volume 1. San Diego, CA, USA, 2005, pp. 838845. (Pubitemid 43897280)
102. D. Minnen, T. Starner, J. Ward, P. Lukowicz, G. Troster, Recognizing and discovering human actions from on-body sensor data, in: ICME'05: Proceedings of the International Conference on Multi-media and Expo. Amsterdam, Denmark, July 2005, pp. 15451548. (Pubitemid 44669172)
103. S. Hongeng, R. Nevatia, Large-scale event detection using semi-hidden markov models, in: ICCV'03: Proceedings of the 9th IEEE International Conference on Computer Vision, 2003, pp. 14551462.
104. S. Fine, Y. Singer, and N. Tishby The hierarchical hidden markov model: analysis and applications Machine Learning 32 1 1998 41 62
105. N.T. Nguyen, D.Q. Phung, S. Venkatesh, and H. Bui Learning and detecting activities from movement trajectories using the hierarchical hidden markov models CVPR'05: Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Volume 2 2005 IEEE Computer Society Washington, DC, USA 955 960
106. H.H. Bui, S. Venkatesh, and G. West Policy recognition in the abstract hidden markov model Journal of Artificial Intelligence Research 17 1 2002 451 499
107. D.C. Liu, and J. Nocedal On the limited memory BFGS method for large scale optimization Mathematical Programming 45 13 1989 503 528 (Pubitemid 20660315)
108. T.G. Dietterich, A. Ashenfelter, and Y. Bulatov Training conditional random fields via gradient tree boosting ICML'04: Proceedings of the Twenty-First International Conference on Machine Learning 2004 ACM Banff, Alberta, Canada p. 28
109. D.L. Vail, and M.M. Veloso Feature selection for activity recognition in multi-robot domains AAAI'08: Proceedings of the 23rd National Conference on Artificial Intelligence 2008 AAAI Press Chicago, Illinois 1415 1420
110. L. Liao, D. Fox, and H. Kautz Extracting places and activities from gps traces using hierarchical conditional random fields International Journal on Robotics Research 26 1 2007 119 134 (Pubitemid 44975091)
111. Y.A. Ivanov, and A.F. Bobick Recognition of visual activities and interactions by stochastic parsing IEEE Transactions on Pattern Analysis and Machine Intelligence 22 8 2000 852 872
112. K.S. Cheung, and D. Vogel Complexity reduction in lattice-based information retrieval Information Retrieval 8 2 2005 285 299 (Pubitemid 40526285)
113. D.M. Karantonis, M.R. Narayanan, M. Mathie, N.H. Lovell, and B.G. Celler Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring IEEE Transactions on Information Technology in Biomedicine 10 1 2006 156 167 (Pubitemid 43092328)
114. M.J. Mathie, B.G. Celler, N.H. Lovell, and A.C.F. Coster Classification of basic daily movements using a triaxial accelerometer Medical and Biological Engineering and Computing 42 5 2004 679 687 (Pubitemid 39386950)
115. D. Rios, Neural networks: a requirement for intelligent systems, 2007. http://www.learnartificialneuralnetworks.com/.
116. B. Pearlmutter Gradient calculations for dynamic recurrent neural networks: a survey IEEE Transaction on Neural Networks 6 5 1995 1212 1228
117. J. Hannan, J. Bishop, A comparison of fast training algorithms over two real problems, in: Proceedings of Fifth International Conference on Artificial Neural Networks, 1997, pp. 16.
118. M. Riedmiller, H. Braun, A direct adaptive method for faster backpropagation learning: the rprop algorithm, in: Proceedings of the IEEE International Conference on Neural Networks, 1993, pp. 586591.
119. W.J. Krzanowski Between-groups comparison of principal components Journal of the American Statistical Association 74 367 1979 703 707
120. B.N. Flury Common principal components in k groups Journal of the American Statistical Association 79 388 1984 892 898
121. H. Yoon, K. Yang, and C. Shahabi Feature subset selection and feature ranking for multivariate time series IEEE Transactions on Knowledge and Data Engineering 17 9 2005 1186 1198 (Pubitemid 46488936)
122. T. Gu, S. Chen, X. Tao, and J. Lu An unsupervised approach to activity recognition and segmentation based on object-use fingerprints Data and Knowledge Engineering 69 6 2010 533 544
123. T. Gu, Z. Wu, X. Tao, H.K. Pung, J. Lu, epSICAR: an emerging patterns based approach to sequential, interleaved and concurrent activity recognition, in: PerCom'09: Proceedings of IEEE International Conference on Pervasive Computing and Communications, Galveston, Texas, USA, March 2009, pp. 19.
124. T. Gu, Z. Wu, L. Wang, X. Tao, J. Lu, Mining emerging patterns for recognizing activities of multiple users in pervasive computing, in: MobiQuitous'09: Proceedings of the 6th Annual International on Mobile and Ubiquitous Systems: Networking Services, July 2009, pp. 12.
125. L. Wang, T. Gu, H. Chen, X. Tao, and J. Lu Real-time activity recognition in wireless body sensor networks: from simple gestures to complex activities Proceedings of the International Workshop on Real-Time Computing Systems and Applications. Vol. 0 2010 IEEE Computer Society Los Alamitos, CA, USA 43 52
126. J. Li, G. Liu, and L. Wong Mining statistically important equivalence classes and delta-discriminative emerging patterns KDD'07: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2007 ACM New York, NY, USA 430 439 (Pubitemid 350229229)
127. S. Lhr, G. West, and S. Venkatesh Recognition of emergent human behaviour in a smart home: a data mining approach Pervasive and Mobile Computing 3 2 2007 95 116 (Pubitemid 46329624)
128. P.D. Gray, and D. Salber Modelling and using sensed context information in the design of interactive applications EHCI'01: Proceedings of the 8th IFIP International Conference on Engineering for HumanComputer Interaction 2001 Springer-Verlag London, UK 317 336
129. H. Lei, D.M. Sow, S. John, I. Davis, G. Banavar, and M.R. Ebling The design and applications of a context service SIGMOBILE Mobile Computing and Communications Review 6 4 2002 45 55
130. N.H. Cohen, H. Lei, P. Castro II, J.S. D, A. Purakayastha, Composing pervasive data using iQL, in: WMCSA'02: Proceedings of the Fourth IEEE Workshop on Mobile Computing Systems and Applications, 2002, pp. 94104.
131. A. Schmidt, M. Beigl, and H.-W. Gellersen There is more to context than location Computers and Graphics 23 6 1999 893 901 (Pubitemid 30546505)
132. W. Pedrycz, and H. Camargo Fuzzy timed petri nets Fuzzy Sets and Systems 140 2 2003 301 330
133. A. Ranganathan, J. Al-Muhtadi, S. Chetan, R. Campbell, M.D. Mickunas, Middlewhere: a middleware for location awareness in ubiquitous computing applications, in: Proceedings of Middleware'04. New York, USA, 2004, pp. 397416. (Pubitemid 39738590)
134. I.H. Witten, and E. Frank Data Mining: Practical Machine Learning Tools and Techniques 2005 Morgan Kaufmann
135. R. Agrawal, and R. Srikant Mining sequential patterns Proceedings of International Conference on Data Engineering. vol. 0 1995 IEEE Computer Society Los Alamitos, CA, USA 3 14
136. V.R. Jakkula, A.S. Crandall, and D.J. Cook Enhancing anomaly detection using temporal pattern discovery A.D. Kameas, V. Callagan, H. Hagras, M. Weber, W. Minker, Advanced Intelligent Environments 2009 Springer US 175 194
137. A. Aztiria, J. Augusto, A. Izaguirre, and D. Cook Learning accurate temporal relations from user actions in intelligent environments J. Corchado, D. Tapia, J. Bravo, Proceedings of the 3rd Symposium of Ubiquitous Computing and Ambient Intelligence 2008 Advances in Soft Computing vol. 51 2009 Springer Berlin, Heidelberg 274 283
138. A. Aztiria, D. Cook, Automatic modeling of frequent user behaviours in intelligent environments, in: IE'10: Proceedings of the International Conference on Intelligent Environments, 2010.
139. C.E. Shannan, and W. Weaver The mathematical theory of communication Bell System Technical Journal 27 1948 379423, 623656
140. J. Ye, A. Clear, L. Coyle, S. Dobson, On using temporal semantics to create more accurate human-activity classifiers, in: Proceedings of 20th Irish Conference on Artificial Intelligence and Cognitive Science. Dublin, Ireland, August 2009, pp. 274283.
141. J. Augusto, C. Nugent, The use of temporal reasoning and management of complex events in smart homes, in: ECAI'04: Proceedings of European Conference on Artificial Intelligence, August 2004, pp. 778782.
142. A. Galton Eventualities 2004 MIT Press
143. P. Reignier, O. Brdiczka, D. Vaufreydaz, J.L. Crowley, and J. Maisonnasse Context-aware environments: from specification to implementation Expert Systems 24 5 2007 305 320 (Pubitemid 47613141)
144. D.J. Patterson, D. Fox, H. Kautz, M. Philipose, Fine-grained activity recognition by aggregating abstract object usage, in ISWC'05: Proceedings of the Ninth IEEE International Symposium on Wearable Computers, 2005, pp. 4451. (Pubitemid 44867493)
145. L. Wang, T. Gu, X. Tao, and J. Lu Sensor-based human activity recognition in a multi-user scenario AmI'09: Proceedings of the European Conference on Ambient Intelligence 2009 Springer-Verlag Berlin, Heidelberg, Salzburg, Austria 78 87
146. J. Ye, L. Coyle, S. Dobson, P. Nixon, Using situation lattices in sensor analysis, in: PERCOM'09: Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications, Texas, USA, March 2009, pp. 111.
147. N.B. Bharatula, M. Stger, P. Lukowicz, G. Trster, Empirical study of design choices in multi-sensor context recognition systems, in: IFAWC: 2nd International Forum on Applied Wearable Computing, March 2005, pp. 7993.
148. U. Maurer, A. Smailagic, D.P. Siewiorek, M. Deisher, Activity recognition and monitoring using multiple sensors on different body positions, in: BSN'06: Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks, 2006, pp. 113116. (Pubitemid 44711293)
149. J. Ye, and S. Dobson Exploring semantics in activity recognition using context lattices Journal of Ambient Intelligence and Smart Environments 2 4 2010 389 407
150. K.-H. Chang, J. Hightower, and B. Kveton Inferring identity using accelerometers in television remote controls Pervasive'09: Proceedings of the 7th International Conference on Pervasive Computing 2009 Springer-Verlag Berlin, Heidelberg 151 167
151. U. Blanke, and B. Schiele Daily routine recognition through activity spotting LoCA'09: Proceedings of the 4th International Symposium on Location and Context Awareness 2009 Springer-Verlag Berlin, Heidelberg 192 206
152. A. Aztiria, A. Izaguirre, and J.C. Augusto Learning patterns in ambient intelligence environments: a survey Artificial Intelligence Review 34 1 2010 35 51
153. K. Kunze, and P. Lukowicz Dealing with sensor displacement in motion-based onbody activity recognition systems UbiComp'08: Proceedings of the 10th International Conference on Ubiquitous Computing 2008 ACM New York, NY, USA 20 29
154. A. Zinnen, C. Wojek, and B. Schiele Multi activity recognition based on bodymodel-derived primitives LoCA '09: Proceedings of the 4th International Symposium on Location and Context Awareness 2009 Springer-Verlag Berlin, Heidelberg 1 18
155. A.K. Dey Modeling and intelligibility in ambient environments Ambient Intelligence and Smart Environments 1 1 2009 47 62
156. T. van Kasteren, G. Englebienne, and B. Krse Transferring knowledge of activity recognition across sensor networks Pervasive'10: Proceedings of the 8th International Conference on Pervasive Computing May 2010 Springer-Verlag Helsinki, Finland 283 300