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Using Semantic Markup to Boost Context Awareness for Assistive Systems

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Smart Assisted Living

Part of the book series: Computer Communications and Networks ((CCN))

Abstract

Considerable effort to manually configure the user’s context and too coarse-grained activity recognition results often make it difficult to set up and run an assistive system. This chapter is the result of our experience with the Human Behavior Monitoring and Support (HBMS) assistive system, which monitors user’s activities of daily life and supports the user in carrying out these activities based on his own behavior model. To achieve the required context awareness, we join assistive systems with the semantic web to (1) simplify the construction of a personalized context model and to (2) improve the system’s activity recognition capabilities. We show how to semantically describe devices and web applications including their functionalities and user instructions and how to represent these descriptions in the web. The advantages of this semantic markup approach for the application of HBMS-System and beyond are discussed. Moreover, we show how personalized and adaptive HBMS user clients and the power of the context model of HBMS-System can be used to bridge an existing activity recognition gap.

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Notes

  1. 1.

    See, e.g., http://sdo-schemaorgae.appspot.com/TechArticle.

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Author information

Authors and Affiliations

  1. Department of Applied Informatics, Universität Klagenfurt, Klagenfurt, Austria

    Claudia Steinberger

  2. Software Engineering, RWTH Aachen University, Aachen, Germany

    Judith Michael

Authors
  1. Claudia Steinberger
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  2. Judith Michael
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Corresponding author

Correspondence to Claudia Steinberger .

Editor information

Editors and Affiliations

  1. School of Computer Science & Informatics, De Montfort University, Leicester, UK

    Feng Chen

  2. Life Supporting Technologies, Universidad Politecnica de Madrid, Madrid, Spain

    Rebeca I. García-Betances

  3. School of Computing, Ulster University, Belfast, UK

    Liming Chen

  4. Life Supporting Technologies, Universidad Politecnica de Madrid, Madrid, Spain

    María Fernanda Cabrera-Umpiérrez

  5. School of Computing, Ulster University, Newtownabbey, UK

    Chris Nugent

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Steinberger, C., Michael, J. (2020). Using Semantic Markup to Boost Context Awareness for Assistive Systems. In: Chen, F., García-Betances, R., Chen, L., Cabrera-Umpiérrez, M., Nugent, C. (eds) Smart Assisted Living. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-030-25590-9_11

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  • DOI: https://doi.org/10.1007/978-3-030-25590-9_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-25589-3

  • Online ISBN: 978-3-030-25590-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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