Utilizing an Accelerometric Bracelet for Ubiquitous Gesture-Based Interaction

  • Authors:
  • Albert Hein;André Hoffmeyer;Thomas Kirste

  • Affiliations:
  • Institute of Computer Science, University of Rostock, Rostock, Germany;Institute of Computer Science, University of Rostock, Rostock, Germany and Fraunhofer Institute for Computer Graphics Research, 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 an approach for recognizing free-handed gestures using an embedded wireless accelerometric bracelet. We developed a very low complexity algorithm which can be directly implemented on the device and operate in real-time. New gestures can be easily added through supervised learning. An evaluation shows the feasibility of our approach. Simple gestures are detected and recognized at a very high rate ( 97%) while more complex ones were misclassified more often (48% --- 95%).