A fuzzy qualitative framework for indoor rowing kinematics analysis

  • Authors:

  • Ante Panjkota;Ivo Stančic;Tamara Šupuk

  • Affiliations:

  • Laboratory for Biomechanics and Automatic Control Systems, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Croatia;Laboratory for Biomechanics and Automatic Control Systems, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Croatia;Laboratory for Biomechanics and Automatic Control Systems, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Croatia

  • Venue:
  • WSEAS Transactions on Signal Processing
  • Year:
  • 2009

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Abstract

In this article an outline of a fuzzy qualitative framework for the indoor rowing kinematics analysis have been proposed. Main goal of introducing this fuzzy qualitative framework is to bridge the gap between high level of quantitative details obtained with various present-day sensory or video inputs and symbolic representation used by rowing experts. A Fuzzy qualification process of kinematic parameters is done on the basis of previously collected quantitative data and with possession of prior contextual knowledge for their qualification by rowing experts. Quantitative data acquisition is included indoor rowing kinematics recording by video motion tracking system. Generalizations of the proposed method on kinematics analysis of a common indoor human motion, problems of symbolic representation, as well as guidelines for method improvement are briefly discussed.