Abstract
The aim of the article is to present a model of the rower, taking into account the most important angles and the new algorithms for studying the position of the rower’s body at different phases of rowing. The positions of the rower’s back, elbows and wrists during rowing were analyzed. The paper presents research on the motion capture of rowers practicing on the Concept II Indoor Rower ergometer, using a motion capture system produced by Vicon. The data obtained with the motion capture system and the results generated with the proposed algorithm(s) allow to clearly identify the studied subjects’ degree of training and rowing technique on the basis of the analysis of changes in the inclination of the body parts in different phases of rowing.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Geng, R., Li, J.S., Gu, Y.: Biomechanical evaluation of two rowing training methods, vibration, structural engineering and measurement. Applied Mechanics and Materials, vol. 105–107, pp. 283–285 (2012)
Baker, J., Gal, J., Davies, B., Bailey, D., Morgan, R.: Power output of legs during high intensity cycle ergometry: influence of hand grip. J. Sci. Med. Sport 4(1), 10–18 (2001)
Buckeridge, E., Hinslop, S., Bull, A., McGregor, A.: Kinematic asymmetries of the lower limbs during ergometer rowing. Med. Sci. Sport Exerc. 44(11), 2147–2153 (2012)
Kurihara, K.: Optical motion capture system with pan-tilt camera tracking and real-time data processing. In: ICRA, pp. 1241–1248 (2002)
Llosa, I., Vilajosana, X., Vilajosana, J.: Manuel Marques, Design of a motion detector to monitor rowing performance based on wireless sensor networks. In: 2009 International Conference on Intelligent Networking and Collaborative Systems, pp. 397–400 (2009)
Ruffaldi, E., Peppoloni, L., Filippeschi, A.: Sensor fusion for complex articulated body tracking applied in rowing. Proc. Inst. Mech. Eng. Part P J. Sports Eng. Technol. 229(2), 92–102 (2015)
Cerne, T., Kamnik, R., Vesnicer, B., Gros, J.Z., Munih, M.: Differences between elite, junior and non-rowers in kinematic and kinetic parameters during ergometer rowing. Hum. Mov. Sci. 32, 691–707 (2013)
Skublewska-Paszkowska, M., Montusiewicz, J., Lukasik, E.: Analysis of rowing based on handle trajectory. In: 9th International Conference on Human System Interaction, pp. 62–68. IEEE, New York (2016)
Lamb, D.H.: A kinematic comparison of ergometer and on-water rowing. Am. J. Sports Med. 17, 367–373 (1989)
Nolte, V.: Rowing Faster, pp. 125–140. Human Kinetics Inc., Champaign (2011)
Sforza, C., Casiraghi, E., Lovecchio, N., Galante, D., Ferrario, V.F.: A three-dimensional study of body motion during ergometer rowing. Open Sports Med. J. 6, 22–28 (2012)
Panjkota, A., Stancic, I., Supuk, T.: Outline of a qualitative analysis for the human motion in case of ergometer rowing. In: Rudas, I., Demiralp, M., Mastorakis, N. (eds.) WSEAS International Conference, Proceedings. Mathematics and Computers in Science and Engineering, No. 5, WSEAS (2009)
Jones, A., Allanson-Bailey, L., Jones, M.D., Holt, C.A.: An ergometer based study of the role of the upper limbs in the female rowing stroke. Procedia Eng. 2, 2555–2561 (2010)
Steer, R.R., McGregor, A.H., Bull, A.M.: A comparison of kinematics and performance measures of two rowing ergometers. J. Sports Sci. Med. 5(1), 52–59 (2006)
Montusiewicz, J., Smolka, J., Skublewska-Paszkowska, M., Lukasik, E., Baran, K.R., Pszczola-Pasierbiewicz, I.: Analysis of selected elements of a rower’s posture using motion capture – a case study. In: Dregvaite, G., Damasevicius, R. (eds.) ICIST 2016. CCIS, vol. 639, pp. 107–118. Springer, Cham (2016). doi:10.1007/978-3-319-46254-7_9
The Concept II ergometer user guide
Skublewska-Paszkowska, M., Montusiewicz, J., Lukasik, E., Pszczoła-Pasierbiewicz, I., Baran, K.R., Smolka, J., Pueo, B.: Motion capture as a modern technology for analysing ergometer rowing. Adv. Sci. Technol. Res. J. 10(29), 132–140 (2016)
Plug-in Gait Model. http://www.irc-web.co.jp/vicon_web/news_bn/PIGManualver1.pdf
Acknowledgments
The research program titled “Optimization of training ergometer rowers based on the analysis of 3D motion data, EMG, ergometer and heart rate”, carried out in the Laboratory of Motion Analysis and Interface Ergonomics, was approved by the Commission for Research Ethics at the Lublin University of Technology, No. 7/2015 dated 12.11.2015.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Lukasik, E., Smolka, J., Montusiewicz, J. (2017). Algorithm Defining the Correctness of an Ergometer Rower’s Technique Using Three-Dimensional Data. In: Damaševičius, R., Mikašytė, V. (eds) Information and Software Technologies. ICIST 2017. Communications in Computer and Information Science, vol 756. Springer, Cham. https://doi.org/10.1007/978-3-319-67642-5_13
Download citation
DOI: https://doi.org/10.1007/978-3-319-67642-5_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-67641-8
Online ISBN: 978-3-319-67642-5
eBook Packages: Computer ScienceComputer Science (R0)