A Multi-agent System for Human Activity Recognition in Smart Environments

  • Irina Mocanu
  • Adina Magda Florea
Part of the Studies in Computational Intelligence book series (SCI, volume 382)

Abstract

Activity recognition is an important component for the ambient assisted living systems, which perform home monitoring and assistance of elderly people or patients with risk factors. The paper presents a prototype system for activity recognition based on a multi-agent architecture. In the system, the context of the person is first detected using a domain ontology. Next, the human position is obtained and together with the context forms a sub-activity. The sequence of successive sub-activities is then assembled in a human activity, which is recognized using a stochastic grammar.

Keywords

Activity Recognition Domain Ontology Image Annotation Human Activity Recognition Smart Environment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Irina Mocanu
    • 1
  • Adina Magda Florea
    • 1
  1. 1.Computer Science DepartmentUniversity “Politehnica” of BucharestBucharestRomania

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