Abstract
The forehand is one of the key shot in tennis. Its reparability is a very important aspect of gaining points. The first purpose of this paper is to create the algorithms for calculating the motion parameters for the preparation phase of the forehand, such as: the position of the head of the tennis racket relative to the player’s body, the elbow angle (i.e. whether the arm is bent or straight) and the placement of the player’s feet towards the front of the pelvis. The second aim of the study is to calculate the repeatability of the selected motion parameters (both for the body and the racket) of the preparation phase of the tennis forehand using coefficient of variation. The shots were performed in the motion capture laboratory using the Plug-in Gait biomechanical model. The described parameters are computed from three dimensional data, stored in C3D file.
The obtained results indicate that the placement of the head of the tennis racket towards the player’s body is repeatable only for first two defined positions (above the forehead and between it and the shoulder). The participant puts his feet repeatable, after average 46% time he puts his left leg forward. The arrangement of the arm during the preparation phase of the forehand is also repeatable.
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Acknowledgment
The research programme entitled “Biomechanical parameters of athletes in the individual exercises” based on the analysis of 3D motion data and EMG, realised in the Laboratory of Motion Analysis and Interface Ergonomics was approved by the Commission for Research Ethics, No. 2/2016 dated 8.04.2016. The authors would like to thank the Student Sports Club Tennis Academy POL-SART for their support.
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Skublewska-Paszkowska, M. (2018). Motion Repeatability of Tennis Forehand Preparation Phase Without the Ball Using Three Dimensional Data. In: Świątek, J., Borzemski, L., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – ISAT 2017. ISAT 2017. Advances in Intelligent Systems and Computing, vol 656. Springer, Cham. https://doi.org/10.1007/978-3-319-67229-8_14
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DOI: https://doi.org/10.1007/978-3-319-67229-8_14
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