Human body movements classification

  • Authors:

  • A. Hlaváček;V. Hanžl;J. Havlík

  • Affiliations:

  • Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Technická, Praha, Czech Republic;Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Technická, Praha, Czech Republic;Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Technická, Praha, Czech Republic

  • Venue:
  • BIEN '07 Proceedings of the fifth IASTED International Conference: biomedical engineering
  • Year:
  • 2007

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Abstract

This paper refers to the classificators which were created to serve the purpose of the classification of a motion in space, a motion of one part of the human body (a thumb in this case). Furthermore, the way of filming of the video recordings, which follow the motion of the thumb, the pre-processing of these recordings and the subsequent parametrization have been briefly mentioned. Two groups of classificators have been created, unsupervised and supervised. The unsupervised classificators use the K-Means algorithm and were used only for labeling training data, therefore they will not be discussed in this paper. The supervised classificators are based on the use of Hidden Markov Models. Several classificators of diverse complexity have been created for the purpose of verification of their functionality and quality.