Motion analysis of front crawl swimming applying CAST technique by means of automatic tracking |
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| Authors: | Stefano Ceccon Elena Ceseracciu Zimi Sawacha Giorgio Gatta Matteo Cortesi Claudio Cobelli |
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| Institution: | 1. University of Padova, Department of Information Engineering , Padova , Italy;2. University of Bologna, Faculty of Exercise and Sport Science , Bologna , Italy |
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| Abstract: | Abstract Kinematic analysis of swimming is of interest to improve swimming performances. Although the video recordings of underwater swimmers are commonly used, the available methodologies are rarely precise enough to adequately estimate the three dimensional (3D) joint kinematics. This is mainly due to difficulties in obtaining the required kinematic parameters (anatomical landmarks, joint centres and reference frames) in the swimming environment. In this paper we propose a procedure to investigate the right upper limb’s 3D kinematics during front crawl swimming in terms of all elbow and shoulder degrees of freedom (three rotations of the shoulder, two of the elbow). The method is based upon the Calibrated Anatomical Systems Technique (CAST), a technique widely used in clinics, which allows estimation of anatomical landmarks of interest even when they are not directly visible. An automatic tracking technique was adopted. The intra-operator repeatability of the manual tracking was also assessed. The root mean squared difference of three anatomical landmarks, processed five times, is always lower than 8 mm. The mean of the root mean squared difference between trajectories obtained with the different methodologies was found to be lower than 20 mm. Results showed that complete 3D kinematics of at least twice as many frames than without CAST can be reconstructed faster and more precisely. |
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| Keywords: | swim biomechanics three dimensional joint kinematics automatic tracking calibrated anatomical systems technique |
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