Literature DB >> 17544326

Reconstruction accuracy in underwater three-dimensional kinematic analysis.

Vassilios Gourgoulis1, Nikolaos Aggeloussis, Panagiotis Kasimatis, Nikolaos Vezos, Alexia Boli, Giorgos Mavromatis.   

Abstract

Accuracy of kinematic data is of decisive importance in motion analysis particularly when they are to be used for the calculation of kinetic parameters, like the propulsive forces in swimming. The present study investigated the accuracy of underwater three-dimensional (3-D) kinematic analysis using periscope systems and calibration volumes with different size. Two analogue cameras (60Hz) were used to record the images, along with two stationary periscope systems for the underwater recordings. The calibration of the recording space was performed using two different-sized calibration frames. The reconstruction accuracy was determined in static and dynamic conditions, both under water and out of the water. In static conditions, the reconstruction accuracy was determined by calculating the root mean square (RMS) error for the reconstruction of eight validation points on the calibration frames, and in dynamic conditions it was determined by the percentage of RMS error of the reconstructed length of a moving rod. The results revealed that in static conditions the RMS error was greater during underwater analysis, due to refraction, and it was increased particularly in the longitudinal axis as the dimensions of the calibration volume were increased. The reconstruction errors observed during underwater recordings with both calibration volumes (transverse axis, 1.61-2.35mm; longitudinal, 2.99-4.64mm; vertical, 2.83-2.59mm) may be considered suitable for three-dimensional kinematic analysis of swimming.

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Year:  2007        PMID: 17544326     DOI: 10.1016/j.jsams.2007.02.010

Source DB:  PubMed          Journal:  J Sci Med Sport        ISSN: 1878-1861            Impact factor:   4.319


  8 in total

1.  Energy cost and body centre of mass' 3D intracycle velocity variation in swimming.

Authors:  Pedro Figueiredo; Tiago M Barbosa; João Paulo Vilas-Boas; Ricardo J Fernandes
Journal:  Eur J Appl Physiol       Date:  2012-01-20       Impact factor: 3.078

2.  Active and passive drag: the role of trunk incline.

Authors:  P Zamparo; G Gatta; D Pendergast; C Capelli
Journal:  Eur J Appl Physiol       Date:  2009-02-18       Impact factor: 3.078

3.  Inertial Sensors in Swimming: Detection of Stroke Phases through 3D Wrist Trajectory.

Authors:  Matteo Cortesi; Andrea Giovanardi; Giorgio Gatta; Anna L Mangia; Sandro Bartolomei; Silvia Fantozzi
Journal:  J Sports Sci Med       Date:  2019-08-01       Impact factor: 2.988

4.  Reconstruction Accuracy Assessment of Surface and Underwater 3D Motion Analysis: A New Approach.

Authors:  Kelly de Jesus; Karla de Jesus; Pedro Figueiredo; João Paulo Vilas-Boas; Ricardo Jorge Fernandes; Leandro José Machado
Journal:  Comput Math Methods Med       Date:  2015-06-14       Impact factor: 2.238

5.  Using Tri-Axial Accelerometry in Daily Elite Swim Training Practice.

Authors:  Sander Ganzevles; Rik Vullings; Peter Jan Beek; Hein Daanen; Martin Truijens
Journal:  Sensors (Basel)       Date:  2017-04-29       Impact factor: 3.576

6.  The Use of IMMUs in a Water Environment: Instrument Validation and Application of 3D Multi-Body Kinematic Analysis in Medicine and Sport.

Authors:  Anna Lisa Mangia; Matteo Cortesi; Silvia Fantozzi; Andrea Giovanardi; Davide Borra; Giorgio Gatta
Journal:  Sensors (Basel)       Date:  2017-04-22       Impact factor: 3.576

7.  Reconstruction Error of Calibration Volume's Coordinates for 3D Swimming Kinematics.

Authors:  Pedro Figueiredo; Leandro Machado; João Paulo Vilas-Boas; Ricardo J Fernandes
Journal:  J Hum Kinet       Date:  2011-10-04       Impact factor: 2.193

8.  Action Sport Cameras as an Instrument to Perform a 3D Underwater Motion Analysis.

Authors:  Gustavo R D Bernardina; Pietro Cerveri; Ricardo M L Barros; João C B Marins; Amanda P Silvatti
Journal:  PLoS One       Date:  2016-08-11       Impact factor: 3.240

  8 in total

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