A Hybrid Approach for Recognizing ADLs and Care Activities Using Inertial Sensors and RFID

  • Authors:
  • Albert Hein;Thomas Kirste

  • Affiliations:
  • Institute of Computer Science, University of Rostock, Rostock, Germany;Institute of Computer Science, University of Rostock, Rostock, Germany

  • Venue:
  • UAHCI '09 Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments
  • Year:
  • 2009

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Abstract

In this paper we present a feasibility study regarding the recognition of high level daily living and care activities. We examine a hybrid discriminative and model based generative approach based on RFID and inertial sensor data. We show that the presented sensor configuration is able to deliver sensor readings and object sightings at a sufficient rate without forcing user compliance. We further evaluated the advantage of a model based approach over a static classifier, compared the individual contribution of each sensor type and could reach accuracy rates of 97% and 85%.