Skip to main content

Activity recognition for an agent-oriented personal health system

Kafalı, Özgur, Romero, Alfonso E., Stathis, Kostas (2014) Activity recognition for an agent-oriented personal health system. In: Lecture Notes in Computer Science. PRIMA 2014: Principles and Practice of Multi-Agent Systems. 8861. pp. 254-269. Springer ISBN 978-3-319-13190-0. (doi:10.1007/978-3-319-13191-7_21) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
https://doi.org/10.1007/978-3-319-13191-7_21

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.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1007/978-3-319-13191-7_21
Uncontrolled keywords: Hypoglycemia, Tempo, Bete, Aircrafts, Nises
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76.E95 Expert Systems (Intelligent Knowledge Based Systems)
Divisions: Faculties > Sciences > School of Computing
Depositing User: Ozgur Kafali
Date Deposited: 04 Feb 2018 12:10 UTC
Last Modified: 23 Jan 2020 04:14 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/65874 (The current URI for this page, for reference purposes)
Kafalı, Özgur: https://orcid.org/0000-0001-9296-2087
  • Depositors only (login required):