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International Conference on Principles and Practice of Multi-Agent Systems

PRIMA 2014: PRIMA 2014: Principles and Practice of Multi-Agent Systems pp 254–269Cite as

Activity Recognition for an Agent-Oriented Personal Health System

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8861))

Abstract

We present a knowledge representation framework that allows an agent situated in an environment to recognise complex activities, reason about their progress and take action to avoid or support their successful completion. Activities are understood as parameterised templates whose parameters consist of a unique name labelling the activity to be recognised, a set of participants co-involved in the carrying out of the activity and a goal revealing the desired outcome the participants seek to bring about. The novelty of the work is the identification of an activity lifecycle where activities are temporal fluents that can be started, interrupted, suspended, resumed, or completed over time. The framework also specifies activity goals and their associated lifecycle, as with activities, and shows how the state of such goals aids the recognition of significant transitions within and between activities. We implement the resulting recognition capability in the Event Calculus and we illustrate how an agent using this capability recognises activities in a personal health system monitoring diabetic patients.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Royal Holloway, University of London, Egham, TW20 0EX, UK

    Özgür Kafalı, Alfonso E. Romero & Kostas Stathis

Authors
  1. Özgür Kafalı
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  2. Alfonso E. Romero
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  3. Kostas Stathis
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Editor information

Editors and Affiliations

  1. School of Computer Science and Software Engineering, University of Wollongong, Northfields Avenue, 2522, Wollongong, NSW, Australia

    Hoa Khanh Dam

  2. Imperial College, SW7 2BT, London, UK

    Jeremy Pitt

  3. University of Electronic Science and Technology of China, 610051, Chengdu, Sichuan, China

    Yang Xu

  4. NICTA Queensland Research Laboratory, GPO Box 2434, 4001, Brisbane, QLD, Australia

    Guido Governatori

  5. Nagoya Institute of Technology, Gokiso-cho, 466-8555, Showa-ku, Nagoya, Japan

    Takayuki Ito

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© 2014 Springer International Publishing Switzerland

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Kafalı, Ö., Romero, A.E., Stathis, K. (2014). Activity Recognition for an Agent-Oriented Personal Health System. In: Dam, H.K., Pitt, J., Xu, Y., Governatori, G., Ito, T. (eds) PRIMA 2014: Principles and Practice of Multi-Agent Systems. PRIMA 2014. Lecture Notes in Computer Science(), vol 8861. Springer, Cham. https://doi.org/10.1007/978-3-319-13191-7_21

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  • DOI: https://doi.org/10.1007/978-3-319-13191-7_21

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13190-0

  • Online ISBN: 978-3-319-13191-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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