Abstract
The paper presents research on the motion capture of rowers practising on the Concept II Indoor Rower ergometer, using a motion capture device produced by the Vicon company, as well as a wireless heart rate monitor. The aim of the article is to analyse and assess the extent of variation of the angular position of the rower’s back at different phases of rowing and in different degrees of fatigue. The back’s position during rowing was recorded using three markers: one being a component of the Plug-in Gait model (T10) and two additional ones (marked as S1 and S2). The results obtained with the motion capture system allow to clearly identify the degree of training of the subjects studied, their fatigue and rowing technique on the basis of the analysis of changes in the inclination of the back in different positions of the successive phases of rowing.
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References
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)
Baudouin, A., Hawkins, D.: A biomechanical review of factors affecting rowing performance. Br. J. Sports Med. 36, 396–402 (2002)
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)
Bull, M.J., McGregor, A.H.: Measuring spinal motion in rowers: the use of an electromagnetic device. Clin. Biomech. 15, 772–776 (2000)
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)
The Concept II ergometer user guide
Filippeschi, A., Ruffaldi, E.: Boat dynamics and force rendering models for the SPRINT system. IEEE Trans. Hum. Mach. Syst. 43(6), 631–642 (2013)
Fothergill, S.: Examining the effect of real-time visual feedback on the quality of rowing technique. Procedia Eng. 2, 3083–3088 (2010)
Geng, R., Li, J.S., Gu, Y.: Biomechanical evaluation of two rowing training methods. Vibr. Struct. Eng. Meas. Book Ser. Appl. Mech. Mater. 105–107, 283–285 (2012)
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)
Kurihara, K.: Optical motion capture system with pan-tilt camera tracking and real-time data processing. In: ICRA, pp. 1241–1248 (2002)
Lamb, D.H.: A kinematic comparison of ergometer and on-water rowing. Am. J. Sports Med. 17, 367–373 (1989)
Llosa, I., Vilajosana, X., Vilajosana, J.: Manuel marquès, 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)
Nolte, V.: Rowing faster, pp. 125–140. Human Kinetics Inc., Champaign (2011)
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 Mathematics and Computers in Science and Engineering Proceedings. no. 5. WSEAS (2009)
Pelz, P., Verge, A.: Validated biomechanical model for efficiency and speed of rowing. J. Biomech. 47(13), 3415–3422 (2014)
Plug-in Gait Model. http://www.irc-web.co.jp/vicon_web/news_bn/PIGManualver1.pdf
Ruffaldi, E., Filippeschi, A.: Structuring a virtual environment for sport training: a case study on rowing technique. Robot. Auton. Syst. 61(4), 390–397 (2013)
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)
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)
Schranza, G., Tomkinsona, T., Oldsa, N.: Daniella: three-dimensional anthropometric analysis: differences between elite australian rowers and the general population. J. Sports Sci. 28(5), 459–469 (2010)
Skublewska-Paszkowska, M., Montusiewicz, J., Łukasik, 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)
Acknowledgment
The research program titled “Optimization of training ergometer rowers based on the analysis of 3D motion data, EMG, ergometer and heart rate”, realized in the Laboratory of Motion Analysis and Interface Ergonomics was approved by the Commission for Research Ethics, No. 7/2015 dated 12.11.2015.
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Montusiewicz, J., Smolka, J., Skublewska-Paszkowska, M., Lukasik, E., Baran, K.R., Pszczola-Pasierbiewicz, I. (2016). Analysis of Selected Elements of a Rower’s Posture Using Motion Capture – a Case Study. In: Dregvaite, G., Damasevicius, R. (eds) Information and Software Technologies. ICIST 2016. Communications in Computer and Information Science, vol 639. Springer, Cham. https://doi.org/10.1007/978-3-319-46254-7_9
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