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Bootstrapping Activity Modeling for Ambient Assisted Living

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Smart Health (ICSH 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8040))

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Abstract

In many societies, the age profile of the population is increasing, posing many challenges for societies, health services and carers. One response to this unfolding situation has been to direct research effort towards Ambient Assisted Living (AAL), specifically, its enabling technologies. A critical impediment to the deployment of such systems remains the accurate and timely identification of the Activities of Daily Living (ADLs). This paper advocates a minimalist approach to ADL recognition; rather than capturing all possible ADLs, the reliable identification of a select subset of ADLs may prove sufficient for many categories of AAL services. A methodology is described and initial results presented.

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Author information

Authors and Affiliations

  1. CLARITY Centre for Sensor Web Technologies, University College Dublin, Ireland

    Jie Wan, Michael J. O’Grady & Gregory M. P. O’Hare

Authors
  1. Jie Wan
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  2. Michael J. O’Grady
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  3. Gregory M. P. O’Hare
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Editor information

Editors and Affiliations

  1. MIS Department, The University of Arizona, Tucson, Arizona, U.S.A.

    Daniel Zeng

  2. Department of Information Science and Technology, Drexel University, USA

    Christopher C. Yang

  3. Dept. of Computer Science and Information Engineering, Institute of Medical Informatics, National Cheng Kung University, Tainan, Taiwan

    Vincent S. Tseng

  4. Tsinghua University, Beijing, China

    Chunxiao Xing

  5. Department of Management Information Systems, University of Arizona, McClelland Hall 430, 1130 East Helen Street, 85721, Tucson, AZ, USA

    Hsinchun Chen

  6. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Fei-Yue Wang

  7. Chinese Academy of Sciences, Beijing, China

    Xiaolong Zheng

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© 2013 Springer-Verlag Berlin Heidelberg

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Wan, J., O’Grady, M.J., O’Hare, G.M.P. (2013). Bootstrapping Activity Modeling for Ambient Assisted Living. In: Zeng, D., et al. Smart Health. ICSH 2013. Lecture Notes in Computer Science, vol 8040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39844-5_12

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  • DOI: https://doi.org/10.1007/978-3-642-39844-5_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39843-8

  • Online ISBN: 978-3-642-39844-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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