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Recognizing independent and joint activities among multiple residents in smart environments

  • Geetika Singla
  • Diane J. CookEmail author
  • Maureen Schmitter-Edgecombe
Original Research

Abstract

The pervasive sensing technologies found in smart homes offer unprecedented opportunities for providing health monitoring and assistance to individuals experiencing difficulties living independently at home. A primary challenge that needs to be tackled to meet this need is the ability to recognize and track functional activities that people perform in their own homes and everyday settings. In this paper, we look at approaches to perform real-time recognition of Activities of Daily Living. We enhance other related research efforts to develop approaches that are effective when activities are interrupted and interleaved. To evaluate the accuracy of our recognition algorithms we assess them using real data collected from participants performing activities in our on-campus smart apartment testbed.

Keywords

Smart environments Passive sensors Activity recognition Multiple residents Parallel activities 

References

  1. Cook DJ, Das SK (eds) (2004) Smart environments: technology, protocols, and applications, 1st edn, Wiley, New YorkGoogle Scholar
  2. Cook DJ, Schmitter-Edgecombe M (2009) Assessing the quality of activities in a smart environment. Methods Inf Med (in press)Google Scholar
  3. Doctor F, Hagras H, Callaghan V (2005) A fuzzy embedded agent-based approach for realizing ambient intelligence in intelligent inhabited environments. IEEE Trans Syst Man Cybern Part A 35(1):55–56CrossRefGoogle Scholar
  4. Liao L, Fox D, Kautz H (2005) Location-based activity recognition using relational Markov networks. In: Proceedings of the international joint conference on artificial intelligence, pp 773–778Google Scholar
  5. Maurer U, Smailagic A, Siewiorek D, Deisher M (2006) Activity recognition and monitoring using multiple sensors on different body positions. In: Proceedings of the international workshop on wearable and implantable body sensor networks, pp 113–116Google Scholar
  6. Mihailidis A, Barbenl J, Fernie G (2004) The efficacy of an intelligent cognitive orthosis to facilitate handwashing by persons with moderate-to-severe dementia. Neuropsychol Rehabil 14(1/2):135–171CrossRefGoogle Scholar
  7. Philipose M, Fishkin K, Perkowitz M, Patterson D, Fox D, Kautz H, Hahnel D (2004) Inferring activities from interactions with objects. IEEE Pervasive Comput 3(4):50–57CrossRefGoogle Scholar
  8. Reisberg B, Finkel S, Overall J, Schmidt-Gollas N, Kanowski S, Lehfeld H et al (2001) The Alzheimer’s disease activities of daily living international scale (ASL-IS). Int Psychogeriatr 13:163–181CrossRefGoogle Scholar
  9. Rialle V, Ollivet C, Guigui C, Herve C (2008) What do family caregivers of Alzheimer’s disease patients desire in smart home technologies? Methods Inf Med 47:63–69Google Scholar
  10. Sanchez D, Tentori M, Favela J (2008) Activity recognition for the smart hospital. IEEE Intell Syst 23(2):50–57CrossRefGoogle Scholar
  11. Schmitter-Edgecombe M, Woo E, Greeley D (2008) Memory deficits, everyday functioning, and mild cognitive impairment. In: Proceedings of the annual rehabilitation psychology conferenceGoogle Scholar
  12. Singla G, Cook D, Schmitter-Edgecombe M (2009) Tracking activities in complex settings using smart environment technologies. Int J BioSci Psychiatr Technol 1(1):25–35Google Scholar
  13. Viterbi A (1967) Error bounds for convolutional codes and an asymptotically-optimum decoding algorithm. IEEE Trans Inf Theory 13(2):260–269zbMATHCrossRefGoogle Scholar
  14. Wadley V, Okonkwo O, Crowe M, Ross-Meadows LA (2007) Mild Cognitive Impairment and everyday function: Evidence of reduced speed in performing instrumental activities of daily living. Am J Geriatr Psychiatry 16(5):416–424Google Scholar
  15. Wren C, Munguia-Tapia E (2006) Toward scalable activity recognition for sensor networks. In: Proceedings of the workshop on location and context-awareness, pp 168–185Google Scholar

Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  • Geetika Singla
    • 1
  • Diane J. Cook
    • 1
    Email author
  • Maureen Schmitter-Edgecombe
    • 1
  1. 1.School of Electrical Engineering and Computer ScienceWashington State UniversityPullmanUSA

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