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Human-Computer Systems Interaction: Backgrounds and Applications 3 pp 155–166Cite as

Intelligent Sensing and Learning for Assisted Living Applications

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 300))

Abstract

Achievements of today telemedicine and surveillance techniques offer exciting possibilities for developing intelligent assisted living systems for elderly or disabled. This chapter presents an universal sketch of multimodal health monitoring systems complying with regard to a paradigm of ubiquitous and personalized medicine. The proposed design combines advantages of context-reprogrammable sensors, flexibility of reconfigurable networks built on the surface of human body or embedded in premise infrastructures and automatic, subject-sensitive decision making based on presumptions and experience represented in artificial intelligence. Considering these key features leads to a concept, technical design and a prototype of a system suitable for majority of human surveillance purposes including home care, hospices, rehabilitation and sport training. The prototype was tested in several experimental setups intended to simulate volunteers’ homes for seamless monitoring with no limit of indoor and outdoor mobility and for recognition of normal, suspected and dangerous events. The results confirm the expected adaptability of the system to human-dependent and environment-specific relations.

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Author information

Authors and Affiliations

  1. AGH University of Science and Technology, Krakow, Poland

    P. Augustyniak

Authors
  1. P. Augustyniak
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Correspondence to P. Augustyniak .

Editor information

Editors and Affiliations

  1. Department of Expert Systems and Artificial Intelligence, University of Information Technology and Management, Rzeszów, Poland

    Zdzisław S. Hippe

  2. Polish Academy of Sciences, M. Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland

    Juliusz L. Kulikowski

  3. University of Information Technology and Management, Rzeszów, Poland

    Teresa Mroczek

  4. Gdańsk University of Technology, Gdańsk-Wrzeszcz, Poland

    Jerzy Wtorek

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Augustyniak, P. (2014). Intelligent Sensing and Learning for Assisted Living Applications. In: Hippe, Z., Kulikowski, J., Mroczek, T., Wtorek, J. (eds) Human-Computer Systems Interaction: Backgrounds and Applications 3. Advances in Intelligent Systems and Computing, vol 300. Springer, Cham. https://doi.org/10.1007/978-3-319-08491-6_13

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  • DOI: https://doi.org/10.1007/978-3-319-08491-6_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08490-9

  • Online ISBN: 978-3-319-08491-6

  • eBook Packages: EngineeringEngineering (R0)

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