The wearable devices application for evaluation of 110 meter high hurdle race
Keywords:Inertial measurement unit, Flight time, Time between hurdles, Take-off angles
Purpose: This study was intended to explore the continuous changes in the kinematic parameters of hurdlers in a 110 meter (110m) high hurdle race from hurdles 1 through 10. Method: Ten excellent college athletes who specialized in the 110m high hurdle race volunteered for this study. Inertial measurement units (IMUs) strapped to the back of the athlete’s feet and 10 high-speed cameras were used to document the movements of the hurdlers as they were hurdling along the entire track. Kwon3D and MATLAB computer programs were employed for the analysis of kinematic parameters (take-off distance, landing distance, take-off distance percentage, landing distance percentage, flight time, time between hurdles, hurdle cycle time, hurdle cycle velocity, height of centre gravity above the hurdle and take-off angles). The trend analysis was introduced to test the changes of the parameters between hurdles. The level of significance was set to α =.05. Results: The results showed that the subjects averaged 14.31±0.29 seconds in their 110m high hurdle tests. Regarding the trend analysis, all kinematic parameters except landing distance displayed quadratic linear patterns along the 110m race. Conclusion: The athletes rapidly gained speed as they sprinted from the starting line and reached their maximum speeds between hurdles 5 and 6, after which their speed declined. In addition, the kinematic parameters changed as the running velocity varied.
Čoh, M., & Iskra, J. (2012). Biomechanical studies of 110 m hurdle clearance technique. Sport Science, 5(1), 10-14.
Coh, M., Jost, B., & Skof, B. (2000). Kinematic and dynamic analysis of hurdle clearance technique. In ISBS-Conference Proceedings Archive (Vol. 1, No. 1).
Dapena, J. (1991). Hurdle clearance technique. Track and Field. Quart. Rev.116 (3), 710- 712.
Dempster, W. T. (1955). Space requirements of the seated operator, geometrical, kinematic, and mechanical aspects of the body with special reference to the limbs. Michigan State Univ East Lansing. https://doi.org/10.21236/AD0087892
El-Hamid, M. G. (2012). Effect of Training by Using the Change in the Official Measurements on Some Special Variables and Record Level of 110m Hurdles Competitors. World Journal of Sport Sciences, 6(2), 152-156.
Favre, J., Aissaoui, R., Jolles, B. M., de Guise, J. A., & Aminian, K. (2009). Functional calibration procedure for 3D knee joint angle description using inertial sensors. Journal of biomechanics, 42(14), 2330-2335. https://doi.org/10.1016/j.jbiomech.2009.06.025
Göpfert, C., Pohjola, M. V., Linnamo, V., Ohtonen, O., Rapp, W., & Lindinger, S. J. (2017). Forward acceleration of the centre of mass during ski skating calculated from force and motion capture data. Sports Engineering, 20(2), 141-153. https://doi.org/10.1007/s12283-016-0223-9
Iskra, J., & Coh, M. (2011). Biomechanical studies on running the 400 m hurdles. Human Movement, 12(4), 315-323. https://doi.org/10.2478/v10038-011-0035-5
Iskra, J., & Wlaszczyk, A. (2007). Types of strides pattern and time distribution in elite 400-m-hurdlers.
Jensen, U., Schmidt, M., Hennig, M., Dassler, F. A., Jaitner, T., & Eskofier, B. M. (2015). An IMU-based mobile system for golf putt analysis. Sports Engineering, 18(2), 123-133. https://doi.org/10.1007/s12283-015-0171-9
Kampmiller, T., Slamka, M., & Vanderka, M. (1999). Comparative biomechanical analysis of 110 m hurdles of Igor Kovač and Peter Nedelicky. Kinesiologia Slovenica, 5(1-2), 26-30.
Kavanagh, J. J., Morrison, S., James, D. A., & Barrett, R. (2006). Reliability of segmental accelerations measured using a new wireless gait analysis system. Journal of biomechanics, 39(15), 2863-2872. https://doi.org/10.1016/j.jbiomech.2005.09.012
Kuznietsov, A., & Neubauer, D. (2012, March). A wireless framework for movement activity monitoring of sprinters. In Proceedings of the 9th International Multi-Conference on Systems, Signals and Devices, Chemnitz, Germany (pp. 20-23). https://doi.org/10.1109/SSD.2012.6198028
López del Amo, J. L., Rodríguez, M. C., Hill, D. W., & González, J. E. (2018). Analysis of the start to the first hurdle in 110 m hurdles at the IAAF World Athletics Championships Beijing 2015.
McGrath, D., Greene, B. R., O'Donovan, K. J., & Caulfield, B. (2012). Gyroscope-based assessment of temporal gait parameters during treadmill walking and running. Sports Engineering, 15(4), 207-213. https://doi.org/10.1007/s12283-012-0093-8
Mayagoitia, R. E., Nene, A. V., & Veltink, P. H. (2002). Accelerometer and rate gyroscope measurement of kinematics: an inexpensive alternative to optical motion analysis systems. Journal of biomechanics, 35(4), 537-542. https://doi.org/10.1016/S0021-9290(01)00231-7
Picerno, P., Camomilla, V., & Capranica, L. (2011). Countermovement jump performance assessment using a wearable 3D inertial measurement unit. Journal of sports sciences, 29(2), 139-146. https://doi.org/10.1080/02640414.2010.523089
Radoslav, B., Saša, B., Darko, M., Vladan, P., Aleksandar, R., & Ratko, S. (2008). Comparative biomechanical analysis of hurdle clearance techniques on 110 m running with hurdles of elite and non-elite athletes. Serbian Journal of Sports Sciences, 2, 37-44.
Sato, K., Sands, W. A., & Stone, M. H. (2012). The reliability of accelerometry to measure weightlifting performance. Sports Biomechanics, 11(4), 524-531. https://doi.org/10.1080/14763141.2012.724703
Saber-Sheikh, K., Bryant, E. C., Glazzard, C., Hamel, A., & Lee, R. Y. (2010). Feasibility of using inertial sensors to assess human movement. Manual Therapy, 15(1), 122-125. https://doi.org/10.1016/j.math.2009.05.009
Schluter, W. (1981). Kinematische Merkmale der 110-m Hurdentechnik. Leistungssport, 2, 118-127.
Sidhu, A. S. & Singh, M. (2015). Kinematical analysis of hurdle clearance technique in 110m hurdle race. International Journal of Behavioural Social and Movement Science, 4(2), 28-35.
Stančin, S., & Tomažič, S. (2013). Early improper motion detection in golf swings using wearable motion sensors: The first approach. Sensors, 13(6), 7505-7521. https://doi.org/10.3390/s130607505
Tien, I., Glaser, S. D., Bajcsy, R., Goodin, D. S., & Aminoff, M. J. (2010). Results of using a wireless inertial measuring system to quantify gait motions in control subjects. IEEE Transactions on Information Technology in Biomedicine, 14(4), 904-915. https://doi.org/10.1109/TITB.2009.2021650
Zhao, Y., Gerhard, D., & Barden, J. (2015). Periodicity-based swimming performance feature extraction and parameter estimation. Sports Engineering, 18(3), 177-189. https://doi.org/10.1007/s12283-015-0178-2
How to Cite
Copyright (c) 2018 Journal of Human Sport and Exercise
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Each author warrants that his or her submission to the Work is original and that he or she has full power to enter into this agreement. Neither this Work nor a similar work has been published elsewhere in any language nor shall be submitted for publication elsewhere while under consideration by JHSE. Each author also accepts that the JHSE will not be held legally responsible for any claims of compensation.
Authors wishing to include figures or text passages that have already been published elsewhere are required to obtain permission from the copyright holder(s) and to include evidence that such permission has been granted when submitting their papers. Any material received without such evidence will be assumed to originate from the authors.
Please include at the end of the acknowledgements a declaration that the experiments comply with the current laws of the country in which they were performed. The editors reserve the right to reject manuscripts that do not comply with the abovementioned requirements. The author(s) will be held responsible for false statements or failure to fulfill the above-mentioned requirements.
This title is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license (CC BY-NC-ND 4.0).
You are free to share, copy and redistribute the material in any medium or format. The licensor cannot revoke these freedoms as long as you follow the license terms under the following terms:
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
NonCommercial — You may not use the material for commercial purposes.
NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
Transfer of Copyright
In consideration of JHSE’s publication of the Work, the authors hereby transfer, assign, and otherwise convey all copyright ownership worldwide, in all languages, and in all forms of media now or hereafter known, including electronic media such as CD-ROM, Internet, and Intranet, to JHSE. If JHSE should decide for any reason not to publish an author’s submission to the Work, JHSE shall give prompt notice of its decision to the corresponding author, this agreement shall terminate, and neither the author nor JHSE shall be under any further liability or obligation.
Each author certifies that he or she has no commercial associations (e.g., consultancies, stock ownership, equity interest, patent/licensing arrangements, etc.) that might pose a conflict of interest in connection with the submitted article, except as disclosed on a separate attachment. All funding sources supporting the Work and all institutional or corporate affiliations of the authors are acknowledged in a footnote in the Work.
Each author certifies that his or her institution has approved the protocol for any investigation involving humans or animals and that all experimentation was conducted in conformity with ethical and humane principles of research.
Biomedical journals typically require authors and reviewers to declare if they have any competing interests with regard to their research.
JHSE require authors to agree to Copyright Notice as part of the submission process.