Fine classification of complex motion pattern in fencing
The subject of this study was fencing and the object was to classify the fundamental motions of fencers by creating a library of movements. Based on this library, thus, the recognition of motions during a real fencing match can be made. Kinematic data were acquired by a motion capture system (Vicon). The automated algorithm that recognized motions is based on three steps: a Principal Component Analysis for data dimension reduction, an innovative wavelet-based analysis of signals and a feature extraction method. The algorithm was tested on high level fencing athletes and it was found to be robust with a 12% of misclassification rate. It gave a description of how atheletes move and showed that in real match athletes do not execute fundamental motions but they mix different techniques in order to surprise the opponent.
© Copyright 2010 Procedia Engineering. Elsevier. Kaikki oikeudet pidätetään.
Aiheet: | miekkailu tekniikka järjestys kilpailu analyysi video ohjelmisto liikkeen kuvaaminen |
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Aihealueet: | tekniset ja luonnontieteet kamppailu-urheilu |
DOI: | 10.1016/j.proeng.2010.04.168 |
Julkaisussa: | Procedia Engineering |
Julkaistu: |
2010
|
Vuosikerta: | 2 |
Numero: | 2 |
Sivuja: | 3423-3428 |
Julkaisutyypit: | artikkeli |
Kieli: | englanti (kieli) |
Taso: | kehittynyt |