Inertial sensors-determined match characteristics that serve as predictors of elite male badminton players’ performance levels

Yahaya Abdullahi, Ben Coetzee

Abstract


The study's purpose was to establish the inertial sensors-containing device (ISCD)-determined match characteristics that predict elite, male badminton players’ performance levels. Twenty-two (22) male single players (aged: 23.39 ± 3.92 years), who represented 10 African countries, participated in the study. Players were categorized as successful and less-successful players according to the results of five championships during two seasons. ISCD units (Catapult MinimaxV4), Polar Heart Rate Transmitter Belts, and digital video cameras were used to collect match data. ISCD-determined variables were corrected for match duration, and independent t-tests, cluster analysis, and a binary forward stepwise logistic regression were used for statistical analyses. A Receiver Operating Characteristic Curve (ROCC) indicated the validity of the group classification model. High-intensity accelerations per second were identified as the only ISCD-determined variable that showed a significant difference (p = 0.05) between groups. Furthermore, only high-intensity accelerations per second (p = 0.03) and low-intensity efforts per second (p = 0.04) were identified as significant predictors of group classification, with 76.88% of players that could be classified back into their original groups by making use of the ISCD-based logistic regression formula. The ROCC showed a value of 0.87. The identification of the last-mentioned ISCD-determined variables for the attainment of badminton performances emphasizes the importance of using badminton drills and conditioning techniques to improve not only the physical fitness levels of players but also their ability to accelerate at high intensities.


Keywords


badminton, effort, inertial sensors-containing device, intensity, & match analysis

Full Text:

PDF

References


Abián, P., Castanedo, A., Feng, X. Q., Sampedro, J., & Abian-Vicen, J. (2014). Notational comparison of men's singles badminton matches between Olympic Games in Beijing and London. International Journal of Performance Analysis in Sport, 14(1), 42-53.

Abián-Vicén, J., Del Coso, J., González-Millán, C., Salinero, J. J., & Abián, P. (2012). Analysis of dehydration and strength in elite badminton players. PLoS ONE, 7(5), e37821. doi:doi:10.1371/journal.pone.0037821

Alder, D., Ford, P. R., Causer, J., & Williams, A. M. (2014). The coupling between gaze behavior and opponent kinematics during anticipation of badminton shots. Human Movement Science, 37, 167-179.

Allison, P. D. (2012). Logistic regression using SAS: Theory and application (2nd ed.). North Carolina: SAS Institute, SAS Publishing.

Bańkosz, Z., Nawara, H., & Ociepa, M. (2013). Assessment of simple reaction time in badminton players. TRENDS in Sport Sciences, 1(20), 54 - 61.

Book, R. T., Henriksen, K., & Stambulova, N. (2018). Towards investigating athletic talent development environments in underserved communities in the United States. Paper presented at the The Science and Practice of Racket Sports for Improved Performance and Health, Halmstad University, Halmstad, Sweden, April 25-27, 2018.

Boyd, L. J., Ball, K., & Aughey, R. J. (2011). The reliability of MinimaxX accelerometers for measuring physical activity in Australian football. International Journal of Sports Physiology and Performance, 6(3), 311-321. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/21911857

Cabello-Manrique, D., & Gonzalez-Badillo, J. J. (2003). Analysis of the characteristics of competitive badminton. British Journal of Sports Medicine, 37(1), 62-66.

Cabello-Manrique, D., Padial, P., Lees, A., & Rivas, F. (2004). Temporal and physiological characteristics of elite women's and men's singles badminton. International Journal of Applied Sports Sciences, 16(2), 1-12.

Catapult-Sports. (2012a). Australia, Victoria Patent No. Catapult Sport: C. Sport.

Catapult-Sports. (2012b). Australia, Victoria Patent No. Catapult Sport: C. Sport.

Chen, H.-L., Wu, C., & Chen, T. C. (2011). Physiological and notational comparison of new and old scoring systems of singles matches in men's badminton. Asian Journal of Physical Education and Recreation, 17(1), 6-17.

Chin, M., Wong, A., So, R., Siu, O. T., Steininger, K., & Lo, D. (1995). Sport specific fitness testing of elite badminton players. British Journal of Sports Medicine, 29(3), 153-157. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/8800846

Chow, J. Y., Seifert, L., Hérault, R., Chia, S. J. Y., & Lee, M. C. Y. (2014). A dynamical system perspective to understanding badminton singles game play. Human Movement Science, 33, 70-84. doi:10.1016/j.humov.2013.07.016

Cust, E. E., Sweeting, A. J., Ball, K., & Robertson, S. (2019). Machine and deep learning for sport-specific movement recognition: A systematic review of model development and performance. Journal of Sports Sciences, 37(5), 568-600.

Douglas, A. S., & Kennedy, C. R. (2020). Tracking In-Match Movement Demands Using Local Positioning System in World-Class Men's Ice Hockey. Journal of Strength and Conditioning Research, 34(3), 639-646.

Dube, S. P., Mungal, S. U., & Kulkarni, M. B. (2015). Simple visual reaction time in badminton players: A comparative study. National Journal of Physiology, Pharmacy & Pharmacology, 5(1), 18-20. Retrieved from http://www.njppp.com/

Duthie, G., Pyne, D., & Hooper, S. (2003). Applied physiology and game analysis of rugby union. Sports Medicine, 33(13), 973-991. doi:10.2165/00007256-200333130-00003

Faude, O., Meyer, T., Rosenberger, F., Fries, M., Huber, G., & Kindermann, W. (2007). Physiological characteristics of badminton match play. European Journal of Applied Physiology, 100(4), 479-485. doi:10.1007/s00421-007-0441-8

Fernandez-Echeverria, C., Mesquita, I., González-Silva, J., Claver, F., & Moreno, M. P. (2017). Match analysis within the coaching process: a critical tool to improve coach efficacy. International Journal of Performance Analysis in Sport, 17(1-2), 149-163. doi:10.1080/24748668.2017.1304073

Garson, G. D. (2010). Logistic regression, effect size measures (Association) for dichotomies: Percent difference, Yules's Q, Yule's Y, risk, odd ratio [Internet]. 1st edition. Retrieved from http://faculty.chass.ncsu.edu/garson/pa765/statnote.htm

Gastin, P. B., McLean, O., Spittle, M., & Breed, R. V. (2013). Quantification of tackling demands in professional Australian football using integrated wearable athlete tracking technology. Journal of Science and Medicine in Sport, 16(6), 589-593.

Gomez, M.-Á., Rivas, F., Connor, J. D., & Leicht, A. S. (2019). Performance differences of temporal parameters and point outcome between elite men's and women's badminton players according to match-related contexts. International Journal of Environmental Research and Public Health, 16(21), 4057. doi:10.3390/ijerph16214057

Hughes, M. (2003). The application of notational analysis to racket sports. In A. Lees, I. Maynard, M. Hughes, & T. Reilly (Eds.), Science and racket sports. Science and racket sports II (pp. 211-220). Retrieved from https://epdf.pub/science-and-racket-sports-2-science-and-racket-sports.html. (Reprinted from: ISBN 0419230300 (Print Edition)) (Original work published 1998 E & FN Spon)

Hughes, M., & Franks, I. M. (2004). Notational analysis - a review of the literature. In M. Hughes & I. M. Franks (Eds.), Notational analysis of sport: Systems for better coaching and performance in sport (pp. 59-106). New York: Routledge.

Hughes, M., & Franks, I. M. (2009). Sports analysis. In M. Hughes & I. M. Franks (Eds.), Notational analysis of sport: Systems for better coaching and performance in sport (pp. 107-117). New York: Routledge.

Jeon, J.-Y., Yun, Y.-K., Kim, Y.-S., & Park, S.-H. (2019). Exploration on the psychological momentum strategy of national badminton players. Korean Journal of Sport Science, 30(4), 888-906. doi:http://doi.org/10.24985/kjss.2019.30.4.888

Jeyaraman, R., District, E., & Nadu, T. (2012). Prediction of playing ability in badminton from selected anthropometrical physical and physiological characteristics among inter collegiate players. International Journal of Advanced and Innovative Research, 2(3), 47-58.

Keogh, J. W., Weber, C. L., & Dalton, C. T. (2003). Evaluation of anthropometric, physiological, and skill-related tests for talent identification in female field hockey. Canadian Journal of Applied Physiology, 28(3), 397-409. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/12955867

Kovacs, M. (2006). Applied physiology of tennis performance. British Journal of Sports Medicine, 40(5), 381-386. doi:10.1136/bjsm.2005.023309

Li, R. T., Kling, S. R., Salata, M. J., Cupp, S. A., Sheehan, J., & Voos, J. E. (2016). Wearable performance devices in sports medicine. Sports health, 8(1), 74-78. doi:10.1177/1941738115616917

Liddle, S., Murphy, M., & Bleakley, W. (1996). A comparison of the physiological demands of singles and doubles badminton: a heart rate and time/motion analysis. Journal of Human Movement Studies, 30(4), 159-176.

Luteberget, L. S., Holme, B. R., & Spencer, M. (2017). Reliability of wearable inertial measurement units to measure physical activity in team handball. International Journal of Sports Physiology and Performance, 13(4), 467-473. doi:10.1123/ijspp.2017-0036

Luteberget, L. S., & Spencer, M. (2017). High-intensity events in international women’s team handball matches. International Journal of Sports Physiology and Performance, 12(1), 56-61. doi:10.1123/ijspp.2015-0641

Majumdar, P., Khanna, G., Malik, V., Sachdeva, S., Arif, M., & Mandal, M. (1997). Physiological analysis to quantify training load in badminton. British Journal of Sports Medicine, 31(4), 342-345. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/9429015

Montgomery, P. G., Pyne, D. B., & Clare L, M. (2010). The physical and physiological demands of basketball training and competition. International Journal of Sports Physiology and Performance, 5(1), 75-86. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/20308698

O'Donoghue, P. G. (2008). Time-motion analysis. In M. Hughes & I. Franks (Eds.), The essentials of performance analysis: An introduction (pp. 180-205). New York: Routledge.

Ooi, C. H., Tan, A., Ahmad, A., Kwong, K. W., Sompong, R., Mohd Ghazali, K. A., . . . Thompson, M. W. (2009). Physiological characteristics of elite and sub-elite badminton players. Journal of Sports Sciences, 27(14), 1591-1599. doi:10.1080/02640410903352907

Pearce, A. J. (2002). A physiological and notational comparison of the conventional and new scoring systems in badminton. Journal of Human Movement Studies, 43(1), 49-67.

Pérez-Turpin, J. A., Elvira-Aranda, C., Cabello-Manrique, D., Gomis-Gomis, M. J., Suárez-Llorca, C., & Andreu-Cabrera, E. (2020). Notational comparison analysis of outdoor badminton men’s single and double matches. Journal of Human Kinetics, 71(1), 267-273.

Primo, L., Gutiérrez-Suárez, A., & Gómez, M.-Á. (2019). Analysis of challenge request success according to contextual variables in elite badminton. German Journal of Exercise and Sport Research, 49(3), 259-265. doi:https://doi.org/10.1007/s12662-019-00591-4

Reilly, T., Williams, A. M., Nevill, A., & Franks, A. (2000). A multidisciplinary approach to talent identification in soccer. Journal of Sports Sciences, 18(9), 695-702. doi:10.1080/02640410050120078

Roell, M., Roecker, K., Gehring, D., Mahler, H., & Gollhofer, A. (2018). Player monitoring in indoor team sports: concurrent validity of inertial measurement units to quantify average and peak acceleration values. Frontiers in physiology, 9, 141.

Sheppard, J. M. (2004). Improving the sprint start with strength and conditioning exercises. Modern Athlete and Coach, 42(1), 18-23.

Sheppard, J. M., & Young, W. B. (2006). Agility literature review: Classifications, training and testing. Journal of Sports Sciences, 24(9), 919-932. doi:10.1080/02640410500457109

Swann, C., Moran, A., & Piggott, D. (2015). Defining elite athletes: Issues in the study of expert performance in sport psychology. Psychology of Sport and Exercise, 16, 3-14. Retrieved from http://ro.uow.edu.au/sspapers/2416

Tiwari, L., Rai, V., & Srinet, S. (2011). Relationship of selected motor fitness components with the performance of badminton player. Asian Journal of Physical Education and Computer Science in Sports, 5(1), 88-91.

Tong, Y., & Hong, Y. (2000). The playing pattern of the world's top single badminton players in competition: A notation analysis. Journal of Human Movement Studies, 38(4), 185-190.

Townshend, A. D., Worringham, C. J., & Stewart, I. B. (2008). Assessment of speed and position during human locomotion using nondifferential GPS. Medicine and Science in Sports and Exercise, 40(1), 124.

Van Iterson, E. H., Fitzgerald, J. S., Dietz, C. C., Snyder, E. M., & Peterson, B. J. (2017). Reliability of triaxial accelerometry for measuring load in men's collegiate ice hockey. Journal of Strength and Conditioning Research, 31(5), 1305-1312.

Worsey, M. T., Espinosa, H. G., Shepherd, J. B., & Thiel, D. V. (2019). Inertial sensors for performance analysis in combat sports: A systematic review. Science Periodical on Research and Technology in Sport, 7(1), 28.

Young, W., Benton, D., & John Pryor, M. (2001). Resistance training for short sprints and maximum-speed sprints. Strength & Conditioning Journal, 23(2), 7.




DOI: https://doi.org/10.17509/jpjo.v6i2.38691

Refbacks

  • There are currently no refbacks.


Copyright (c) 2021 Yahaya Abdullahi

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

web
statistics

View My Stats