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How smart are our environments? An updated look at the state of the art

Cook, Diane J., Das, Sajal K.·2007·Pervasive and Mobile Computing

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Research works printed but not linked: 67

  1. W. Adjie-Winoto, E. Schwartz, H. Balakrishnan, J. Lilley, The design and implementation of an intentional naming system, in: Proceedings of the Seventeenth ACM Symposium on Operating Systems Principles, 1999, pp. 186–201 · DOI
  2. A. Adler, R. Davis, Speech and sketching for multimodal design, in: Proceedings of the 9th International Conference on Intelligent User Interfaces, 2004, pp. 214–216 · DOI
  3. Akyildiz, 2002, A survey on sensor networks, IEEE Communications Magazine, 40, 102, 10.1109/MCOM.2002.1024422 · DOI · Paper page
  4. B. Krishnamachari, D. Estrin, S. Wicker, Impact of data aggregation in wireless sensor networks, in: Proceedings of the IEEE International Conference on Distributed Computing Systems, 2002, pp. 575–578 · DOI · Paper page
  5. Argyroudis, 2004, Securing communications in the smart home, vol. 3207, 891
  6. Barger, 2005, Health status monitoring through analysis of behavioral patterns, IEEE Transactions on Systems, Man, and Cybernetics, Part A, 35, 22, 10.1109/TSMCA.2004.838474 · DOI · Paper page
  7. P. Bellavista, A. Corradi, C. Stefanelli, A mobile agent infrastructure for the mobility support, in: Proceedings of the 2000 ACM symposium on Applied computing, 2000, pp. 239–245 · DOI
  8. Bobick, 1999, The kidsroom: A perceptually-based interactive and immersive story environment, Presence, 8, 369, 10.1162/105474699566297 · DOI
  9. O. Brdiczka, J. Maisonnasse, P. Reignier, Automatic detection of interaction groups, in: Proceedings of the International Conference on Multimodal Interfaces, 2005 · DOI
  10. J. Carter, M. Rosen, Unobtrusive sensing of activities of daily living: A preliminary report, in: Proceedings of the 1st Joint BMES/EMBS Conference, 1999, p. 678 · DOI
  11. Chong, 2003, Sensor networks: Evolution, opportunities, and challenges, Proceedings of the IEEE, 91, 1247, 10.1109/JPROC.2003.814918 · DOI
  12. Cleary, 1984, Data compression using adaptive coding and partial string matching, IEEE Transactions on Communications, 32, 396, 10.1109/TCOM.1984.1096090 · DOI · Paper page
  13. Culler, 2006, TinyOS: Operating system design for wireless sensor networks, Sensors
  14. Das, 2002, The role of prediction algorithms in the mavhome smart home architecture, IEEE Wireless Communications, 9, 77, 10.1109/MWC.2002.1160085 · DOI
  15. S.K. Das, C. Rose, Coping with uncertainty in wireless mobile networks, in: Proceedings of the IEEE Personal, Indoor and Mobile Radio Communications, 2004
  16. Doctor, 2005, A fuzzy embedded agent-based approach for realizing ambient intelligence in intelligent inhabited environments, IEEE Transactions on Systems, Man, and Cybernetics, Part A, 35, 55, 10.1109/TSMCA.2004.838488 · DOI
  17. Eng, 2005, An interactive space that learns to influence human behavior, IEEE Transactions on Systems, Man, and Cybernetics, Part A, 35, 66, 10.1109/TSMCA.2004.838467 · DOI
  18. Fox, 2000, Integrating information appliances into an interactive space, IEEE Computer Graphics and Applications, 20, 54, 10.1109/38.844373 · DOI
  19. D. Franklin, Cooperating with people: The intelligent classroom, in: Proceedings of the National Conference on Artificial Intelligence, 1998, pp. 555–560
  20. Hagras, 2004, Creating an ambient-intelligence environment using embedded agents, IEEE Intelligent Systems, 19, 12, 10.1109/MIS.2004.61 · DOI
  21. Helal, 2005, The gator tech smart house: A programmable pervasive space, IEEE Computer, 38, 50, 10.1109/MC.2005.107 · DOI · Paper page
  22. S. Helal, B. Winkler, C. Lee, Y. Kaddourah, L. Ran, C. Giraldo, W. Mann, Enabling location-aware pervasive computing applications for the elderly, in: Proceedings of the First IEEE Pervasive Computing Conference, 2003
  23. IEEE 1451. A standard smart transducer interface, 2001
  24. H.B. Jimison, M. Pavel, J. Pavel, Adaptive interfaces for home health, in: Proceedings of the International Workshop on Ubiquitous Computing for Pervasive Healthcare, 2003
  25. H. Kautz, L. Arnstein, G. Borriello, O. Etzioni, D. Fox, An overview of the assisted cognition project, in: Proceedings of the AAAI Worskhop on Automation as Caregiver: The Role of Intelligent Technology in Elder Care, 2002, pp. 60–65
  26. Keaton, 2005, Browsing the environment with the SNAP & TELL wearable computer system, Personal and Ubiquitous Computing, 9, 343, 10.1007/s00779-004-0316-5 · DOI
  27. Kikin-Gil, 2005, Buddybeads: Techno-jewelry for non-verbal communication within teenager girls groups, Personal and Ubiquitous Computing, 10, 106
  28. Kumar, 2003, Pervasive information communities organization (PICO): A middleware framework for pervasive computing, IEEE Pervasive Computing, 2, 72, 10.1109/MPRV.2003.1228529 · DOI
  29. V. Lesser, M. Atighetchi, B. Benyo, B. Horling, A. Raja, R. Vincent, T. Wagner, X. Ping, S.X. Zhang, The intelligent home testbed, in: Proceedings of the Autonomy Control Software Workshop, 1999
  30. Liu, 2006, Information intensive wireless sensor networks: Potentials and challenges, IEEE Communications Magazine, 44, 142, 10.1109/MCOM.2006.248177 · DOI
  31. Liv, 1978, Compression of individual sequences via variable rate coding, IEEE Transactions on Information Theory, 24, 530, 10.1109/TIT.1978.1055934 · DOI · Paper page
  32. Loke, 2005, Representing and reasoning with situations for context-aware pervasive computing: A logic programming perspective, The Knowledge Engineering Review, 19, 213, 10.1017/S0269888905000263 · DOI
  33. LoPresti, 2004, Assistive technology for cognitive rehabilitation: State of the art, Neuropsychological Rehabilitation, 14, 5, 10.1080/09602010343000101 · DOI · Paper page
  34. Luhr, 2007, Recognition of emergent human behaviour in a smart home: A data mining approach, Journal of Pervasive and Mobile Computing, 10.1016/j.pmcj.2006.08.002 · DOI
  35. Luo, 2006, Routing correlated data with fusion cost in wireless sensor networks, IEEE Transactions on Mobile Computing, 5, 1620, 10.1109/TMC.2006.171 · DOI
  36. E. Mendelowitz, J. Burke, Kolo and Nebesko: A distributed media control framework for the arts, in: Proceedings of the International Conference on Distributed Frameworks for Multimedia Applications, 2005
  37. Mihailidis, 2004, The efficacy of an intelligent cognitive orthosis to facilitate handwashing by persons with moderate-to-severe dementia, Neuropsychological Rehabilitation, 14, 135, 10.1080/09602010343000156 · DOI
  38. Moncrieff, 2007, Multi-modal emotive computing in a smart house environment, Journal of Pervasive and Mobile Computing, 10.1016/j.pmcj.2006.07.003 · DOI
  39. M. Muehlenbrock, O. Brdiczka, D. Snowdon, J. Meunier, Learning to detect user activity and availability from a variety of sensor data, in: Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2004 · DOI
  40. Nambu, 2005, An algorithm for the automatic detection of health conditions, IEEE Engineering Medicine Biology Magazine, 24, 38, 10.1109/MEMB.2005.1463394 · DOI
  41. M. Nilsson, M. Drugge, U. Liljedahl, K. Synnes, P. Parnes, A study on users’ preference on interruption when using wearable computers and head mounted displays, in: Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2005
  42. A. Nischelwitzer, A. Holzinger, M. Meisenberger, Usability and user-centered development (UCD) for smart phones — the mobile learning engine (MLE) a user centered development approach for a rich content application, in: Proceedings of Human Computer Interaction International, 2005
  43. M. Ogawa, R. Suzuki, S. Otake, T. Izutsu, T. Iwaya, T. Togawa, Long term remote behavioral monitoring of elderly by using sensors installed in ordering houses, in: Proceedings IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology, 2002, pp. 322–335 · DOI
  44. R.J. Orr, G.D. Abowd, The smart floor: A mechanism for natural user identification and tracking, in: Proceedings of the ACM Conference on Human Factors in Computing Systems, 2000 · DOI
  45. Philipose, 2005, Inferring ADLs from interactions with objects, IEEE Pervasive Computing
  46. Philips, Interactive tablecloth, 2006 · DOI
  47. Pollack, 2005, Intelligent technology for an aging population: The use of AI to assist elders with cognitive impairment, AI Magazine, 26, 9
  48. N. Ravi, P. Stern, N. Desai, L. Iftode, Accessing ubiquitous services using smart phones, in: Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2005
  49. Rode, 2005, Appliances for whom? considering place, Personal and Ubiquitous Computing, 10, 90
  50. A. Roy, S. Bhaumik, A. Bhattacharya, K. Basu, D.J. Cook, S.K. Das, Location aware resource management in smart homes, in: Proceedings of the Conference on Pervasive Computing, 2003, pp. 521–524
  51. Roy, 2004, Exploiting information theory for adaptive mobility and resource management in future wireless cellular networks, IEEE Wireless Communications, 11, 59, 10.1109/MWC.2004.1325892 · DOI
  52. Roy, 2006, Context-aware resource management in multi-inhabitant smart homes: A Nash h-learning based approach, Journal of Pervasive and Mobile Computing
  53. N. Roy, A. Roy, K. Basu, S.K. Das, A cooperative learning framework for mobility-aware resource management in multi-inhabitant smart homes, in: Proceedings of the IEEE Conference on Mobile and Ubiquitous Systems: Networking and Services, MobiQuitous, 2005, pp. 393–403 · DOI
  54. Satyanarayanan, 2001, Pervasive computing: Vision and challenges, IEEE Personal Computing, 8, 10, 10.1109/98.943998 · DOI
  55. Shi, 2003, The smart classroom: Merging technologies for seamless tele-education, IEEE Pervasive Computing, 2
  56. T. Starner, J. Auxier, D. Ashbrook, M. Gandy, The gesture pendant: A self-illuminating, wearable, infrared computer vision system for home automation control and medical monitoring, in: Proceedings of the IEEE International Symposium on Wearable Computing, 2000, pp. 87–94 · DOI · Paper page
  57. Stauffer, 1993, The smart house system: A technical overview, The Computer Applications Journal, 31, 14
  58. P. Steurer, M.B. Srivastava, System design of smart table, in: Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2003
  59. E.M. Tapia, S.S. Intille, K. Larson, Activity recognition in the home using simple and ubiquitous sensors, in: Proceedings of Pervasive, 2004, pp. 158–175 · DOI · Paper page
  60. Vastamaki, 2005, A behavioural model of temperature controller usage and energy saving, Personal and Ubiquitous Computing, 9, 250, 10.1007/s00779-004-0326-3 · DOI
  61. Want, 2004, Enabling ubiquitous sensing with RFID, Computer, 37, 84, 10.1109/MC.2004.1297315 · DOI
  62. W. Xie, E.K. Teoh, R. Venkateswarlu, X. Chen, Hand as natural man–machine interface in smart environments, in: Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, 2006, pp. 117–122
  63. G.M. Youngblood, Automating inhabitant interactions in home and workplace environments through data-driven generation of hierarchical partially-observable Markov decision processes, Ph.D. Thesis, The University of Texas at Arlington, 2005
  64. Youngblood, 2007, Data mining for hierarchical model creation, IEEE Transactions on Systems, Man, and Cybernetics, Part C, 10.1109/TSMCC.2007.897341 · DOI
  65. G.M. Youngblood, D.J. Cook, L.B. Holder, E.O. Heierman, Automation intelligence for the smart environment, in: Proceedings of the International Joint Conference on Artificial Intelligence, 2005
  66. Youngblood, 2005, Managing adaptive versatile environments, Journal of Pervasive and Mobile Computing, 1, 373, 10.1016/j.pmcj.2005.08.004 · DOI
  67. M. Youngblood, D.J. Cook, L.B. Holder, Managing adaptive versatile environments, in: Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2005, pp. 351–360 · DOI

Cited by

Metadata

Authors
Cook, D. J., & Das, S. K.
Venue
Pervasive and Mobile Computing
Publisher
Elsevier BV
Published
2007-03
Volume
3
Issue
2
Pages
53-73
ISSN
1574-1192 (ISSN-L)
OpenAlex
W2026895797
Cited by
589
References
3
FWCI
28.23
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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