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An Intelligent Ubiquitous Activity Aware Framework for Smart Home

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Book cover Human Interaction, Emerging Technologies and Future Applications III (IHIET 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1253))

Abstract

The proposed Ubiquitous Activity Aware Framework aims to leverage the immense potential that lies in the application of Activity Centered Computing in an Internet of Things (IoT) environment for the future of technology-based living spaces, for instance, in Smart Homes and Smart Cities. The scientific contribution in this work aims to address both the shortage of caregivers and the global challenges for reducing the burden of healthcare related costs for treating elderly people. Elderly people face problems like motor disabilities, physical limitations, memory issues and so on, which limit their abilities to perform Activities of Daily Living (ADLs) on their own. The challenge in this context is to develop technology-based solutions to sustain active aging and independent living of the aging population. Mild Cognitive Impairment (MCI) is commonly found in the aging population and there is a looming need for early detection of MCI to address the increasing healthcare related costs associated with the elderly population. To ensure smooth functioning of the world, the proposed framework addresses the aforementioned challenges through development of a long-term, economically viable and feasible assistive solution that takes a holistic approach in terms of analyzing user interactions during ADLs, to track, study, analyze and detect potential symptoms of MCI and other anomalies in elderly behavior, for preventive and timely care, with an aim to reduce these costs incurred to the healthcare industry in the context of contributing towards independent living of the aging population in Smart Homes.

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References

  1. United Nations 2018 Report on Ageing. http://www.un.org/en/sections/issuesdepth/ageing/

  2. Bengtsson, T., Scott, K.: The ageing population. In: 2nd Chapter in Population Ageing - A Threat to the Welfare State? ISBN 978-3-642-12611-6, eISBN 978-3-64212612-3

    Google Scholar 

  3. Eshkoor, S.A., Hamid, T.A., Mun, C.Y., Ng, C.K.: Mild cognitive impairment and its management in older people. Clin. Interv. Aging 10, 687–693 (2015). https://doi.org/10.2147/CIA.S73922

    Article  Google Scholar 

  4. Azkune, G., Almeida, A., López-de-Ipiña, D., Chen, L.: Extending knowledge driven activity models through data-driven learning techniques. Expert Syst. Appl. 42 (2015). https://doi.org/10.1016/j.eswa.2014.11.063

  5. Cheng, Z., Qin, L., Huang, Q., Jiang, S., Yan, S., Tian, Q.: Human group activity analysis with fusion of motion and appearance information. In: Proceedings of the 19th ACM international conference on Multimedia, Scottsdale, Arizona, USA, 28 November–December 01, pp. 1401–1404 (2011)

    Google Scholar 

  6. Skocir, P., Krivic, P., Tomeljak, M., Kusek, M., Jezic, G.: Activity detection in smart home environment. In: Proceedings of the 20th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, 5–7 September 2016 (2016)

    Google Scholar 

  7. Doryab, A., Bardram, J.E.: Designing activity-aware recommender systems for operating rooms. In: Proceedings of the 2011 Workshop on Context-awareness in Retrieval and Recommendation, 13 February 2011 (2011)

    Google Scholar 

  8. Abascal, J., Bonail, B., Marco, A., Sevillano, J.L.: AmbienNet: an intelligent environment to support people with disabilities and elderly people. In: Proceedings of ASSETS 2008, Halifax, Nova Scotia, Canada, 13–15 October 2008 (2008)

    Google Scholar 

  9. Chan, M., Campo, E., Bourennane, W., Bettahar, F., Charlon, Y.: Mobility behavior assessment using a smart-monitoring system to care for the elderly in a hospital environment. In: Proceedings of PETRA 2014, Island of Rhodes, Greece, 27–30 May 2014 (2014)

    Google Scholar 

  10. Yared, R., Abdulrazak, B., Tessier, T., Mabilleau, P.: Cooking risk analysis to enhance safety of elderly people in smart kitchen. In: Proceedings of PETRA 2015, Corfu, Greece, 01–03 July 2015 (2015)

    Google Scholar 

  11. Deen, M.J.: Information and communications technologies for elderly ubiquitous healthcare in a smart home. Pers. Ubiquitous Comput. 19, 573–599 (2015)

    Article  Google Scholar 

  12. Civitarese, G., Bettini, C., Belfiore, S.: Let the objects tell what you are doing. In: Proceedings of Ubicomp/ISWC 2016 Adjunct, Heidelberg, Germany, 12–16 September 2016 (2016)

    Google Scholar 

  13. Iglesias, R., de Segura, N.G., Iturburu, M.: The elderly interacting with a digital agenda through an RFID pen and a touch screen. In: Proceedings of MSIADU 2009, Beijing, China, 23 October 2009 (2009)

    Google Scholar 

  14. Angelini, L., Nyffeler, N., Caon, M., Jean-Mairet, M., Carrino, S., Mugellini, E., Bergeron, L.: Designing a desirable smart bracelet for older adults. In: Proceedings of UbiComp 2013, Zurich, Switzerland, 8–12 September 2013 (2013)

    Google Scholar 

  15. Khosla, R., Chu, M.T., Kachouie, R., Yamada, K., Yoshihiro, F., Yamaguchi, T.: Interactive multimodal social robot for improving quality of care of elderly in australian nursing homes. In: Proceedings of MM 2012, Nara, Japan, 29 October–2 November 2012 (2012)

    Google Scholar 

  16. Sarkar, D.P.: A nurse bot for elderly people. In: Proceedings of UbiComp/ISWC 2018 Adjunct, Singapore, 8–12 October 2018 (2018)

    Google Scholar 

  17. Thakur, N., Han, C.Y.: An improved approach for complex activity recognition in smart homes. In: Reuse in the Big Data Era, Lecture Notes in Computer Science, pp. 220–231, vol. 11602. Springer, Cham (2019)

    Google Scholar 

  18. Thakur, N., Han, C.Y.: Framework for a personalized intelligent assistant to elderly people for activities of daily living. Int. J. Recent Trends Hum. Comput. Interact. (IJHCI) 9(1), 1–22 (2019)

    Google Scholar 

  19. Thakur, N., Han, C.Y.: Framework for an intelligent affect aware smart home environment for elderly people. Int. J. Recent Trends Hum. Comput. Interact. (IJHCI) 9(1), 23–43 (2019)

    Google Scholar 

  20. Thakur, N., Han, C.Y.: A context-driven complex activity framework for smart home. In: Proceedings of the 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) 2018, Vancouver, Canada, 1–3 November 2018 (2018)

    Google Scholar 

  21. Thakur, N., Han, C.Y.: A hierarchical model for analyzing user experiences in affect aware systems. In: Proceedings of the 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) 2018, Vancouver, Canada, 1–3 November 2018 (2018)

    Google Scholar 

  22. Thakur, N., Han, C.Y.: An approach to analyze the social acceptance of virtual assistants by elderly people. In: Proceedings of the 8th International Conference on the Internet of Things (IoT) 2018, Santa Barbara, California, 15–18 October 2018 (2018)

    Google Scholar 

  23. Thakur, N., Han, C.Y.: Methodology for forecasting user experience for smart and assisted living in affect aware systems. In: Proceedings of the 8th International Conference on the Internet of Things (IoT) 2018, Santa Barbara, California, 15–18 October 2018 (2018)

    Google Scholar 

  24. Thakur, N., Han, C.Y.: An activity analysis model for enhancing user experiences in affect aware systems. In: Proceedings of the IEEE 5G World Forum Conference (IEEE 5GWF) 2018, Santa Clara, California, 09–11 July 2018 (2018)

    Google Scholar 

  25. Thakur, N., Han, C.Y.: A virtual wisdom mining ‘pan’ for connecting retired experts with currently active professionals. In: Proceedings of IT Research Symposium, University of Cincinnati, 10 April 2018 (2018)

    Google Scholar 

  26. Thakur, N., Han, C.Y.: A complex activity based emotion recognition algorithm for affect aware systems. In: Proceedings of IEEE 8th Annual Computing and Communication Workshop and Conference (IEEE CCWC) 2018, Las Vegas, 08–10 January 2018 (2018)

    Google Scholar 

  27. Saguna, A.Z., Chakraborty, D.: Complex activity recognition using contextdriven activity theory and activity signatures. ACM Trans. Comput.-Hum. Interact. 20(6), Article 32 (2013)

    Google Scholar 

  28. Jack, K., William, K.: The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes. Sci. Data 2, 150007 (2015)

    Article  Google Scholar 

  29. Yassine, A., Singh, S., Alamri, A.: Mining human activity patterns from smart home big data for health care applications. In: IEEE Special Section On Advances Of Multisensory Services And Technologies For Healthcare In Smart Cities, June 2017

    Google Scholar 

  30. Sztyler, T., Stuckenschmidt, H., Petrich, W.: Position-aware activity recognition with wearable devices. Pervasive Mob. Comput. 38, Part 2, 281–295 (2017)

    Google Scholar 

  31. Rittho, O., Klinkenberg, R., Fischer, S., Mierswa, I., Felske, S.: YALE: Yet Another Learning Environment (2001). https://doi.org/10.17877/de290r-15309

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Thakur, N., Han, C.Y. (2021). An Intelligent Ubiquitous Activity Aware Framework for Smart Home. In: Ahram, T., Taiar, R., Langlois, K., Choplin, A. (eds) Human Interaction, Emerging Technologies and Future Applications III. IHIET 2020. Advances in Intelligent Systems and Computing, vol 1253. Springer, Cham. https://doi.org/10.1007/978-3-030-55307-4_45

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  • DOI: https://doi.org/10.1007/978-3-030-55307-4_45

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