Intra-cyclic analysis of the butterfly swimming technique using an inertial measurement unit
DOI:
https://doi.org/10.12922/jshp.v9i2.172Keywords:
IMU, intra-cyclic analysis, Butterfly, movement technique, Dolphin-kickAbstract
The use of inertial measurement units (IMU) has increased in swimming research as it is a promising alternative to the time-consuming traditional ways of performance analysis such as the manual video-analysis. Current research mainly focuses on freestyle (front-crawl) and breaststroke swimming whereas backstroke and butterfly are underrepresented. Also, the focus is on data analysis in terms of stroke count, frequency and timing without considering the movement in relation to the measured data.
This paper investigated the butterfly swimming stroke over 100 m with 10 athletes of different skill-levels (from regional to national level). Data were measured using an IMU in combination with video. Key positions of the butterfly swimming technique were analyzed and summarized across all athletes. Aim of this study was to identify the intra-cyclic characteristics of the butterfly swimming technique to find commonalities in the measured data independent of skill level or swim speed.
The results may contribute to an automatic pattern recognition and detailed stroke analysis with separation into the different sub-phases (i.e. in- and upsweep, recovery). In addition, the two executed dolphin kicks per cycle can be analyzed with regard to timing and duration without using video recording.
References
Atkison RR, Dickey JP, Dragunas A. Importance of sagittal kick symmetry for underwater dolphin kick performance. Hum Movement Sci, 33: 298-311, 2014.
Bächlin M, Förster K and Tröster G. SwimMaster: a wearable assistant for swimmer. 11th International Conference on Ubiquitous Computing, September 30-October 3, Orlando, Florida, USA. Proceedings, pp 215-224, ACM, 2009.
Colman V, Persyn U, and Ungerechts BE. A mass of water added to the swimmer's mass to estimate the velocity in dolphin-like swimming below the water surface. In Keskinen KL, Komi PV, Hollander, AP (eds). Biomechanics and medicine in swimming III. Proceedings of the VIII International Symposium on Biomechanics and Medicine in Swimming, Jyväskylä, 1999, pp 89-94.
Cossor J, and Mason B. Swim start performances at the Sydney 2000 Olympic Games. ISBS-Conference Proceedings Archive (ed. RH Sanders), San Francisco, USA, 2001, pp 70-74.
Cossor J, and Mason B. Swim turn performances at the Sydney 2000 Olympic Games. ISBS-Conference Proceedings Archive (ed. RH Sanders), San Francisco, USA, 2001, pp 65-69.
Counsilman JE, and Wilke K. Handbuch des Sportschwimmens für Trainer, Lehrer und Athleten: zur schwimmsportlichen Trainings- u. Bewegungslehre. Schwimmsport-Verlag Fahnemann, 1980, pp 177-192.
Daukantas S, Marozas V, and Lukosevicius A. Inertial sensor for objective evaluation of swimmer performance. IEEE Electronics Conference (ed. Rang, T), Tallinn, Estonia, October 6-8, 2008, pp 321-324.
FINA,http://www.fina.org/sites/default/files/2017_2021_swimming_16032018.pdf (last time accessed: 17 May 2019).
Fulton SK, Pyne DB, and Burkett B. Validity and reliability of kick count and rate in freestyle using inertial sensor technology. J Sport Sci 27(10): 1051-1058, 2009.
Ganzevles S, Vullings R, Beek PJ. Using tri-axial accelerometry in daily elite swim training practice. Sensors 17(5): 990, 2017.
Gavilán A, Arellano R, and Sanders R. Underwater undulatory swimming: Study of frequency, amplitude and phase characteristics of the ‘body wave’. Biomechanics and medicine in swimming X 2006, 35-37.
Hagem RM, Sabti HA, and Thiel DV. Coach-Swimmer communications based on wrist mounted 2.4 GHz accelerometer sensor. Proceedia Engineering 112: 512-516, 2015.
James, DA, Davey N, and Rice T. An accelerometer-based sensor platform for insitu elite athlete performance analysis. Sensors, 2004, pp 1373-1376.
jBeam, https://www.amsonline.de/de/produkte/jbeam/ (last time accessed: 9 October 2018).
Jensen U, Prade F, and Eskofier BM. Classification of kinematic swimming data with emphasis on resource consumption. IEEE International Conference on Body Sensor Networks (BSN), May 6-9 2013, Cambridge, USA, pp 1-5.
Le Sage T, Bindel A, Conway PP. Embedded programming and real-time signal processing of swimming strokes. Sports Engineering 14(1): 1, 2011.
Madsen Ö, Reischle K, Rudolph K. Wege zum Topschwimmer, Band 1 -3, Hofmann, 2014.
Magalhaes FAD, Vannozzi G, Gatta G. Wearable inertial sensors in swimming motion analysis: a systematic review. Journal of Sports Sciences 33(7): 732-745, 2015.
Maglischo EW. Swimming even faster. McGraw-Hill Humanities, Social Sciences & World Languages, 1993, pp 413-446.
Mooney R, Corley G, Godfrey A. Inertial sensor technology for elite swimming performance analysis: A systematic review. Sensors 16(1): 18, 2015.
Mooney R, Quinlan LR, Corley G. Evaluation of the Finis Swimsense® and the Garmin Swim™ activity monitors for swimming performance and stroke kinematics analysis. PloS one 12(2): e0170902, 2018.
Ohgi Y, Kaneda K, and Takakura A. Sensor data mining on the kinematical characteristics of the competitive swimming. Proceedia Engineering 2014; 72: 829-834.
Pansiot J, Lo B, and Yang GZ. Swimming stroke kinematic analysis with BSN. International Conference on Body Sensor Networks (BSN), September 10-12 2010, Corfu, Greece, pp 153-158.
Puel F, Seifert LM, and Hellard P. Validation of an inertial measurement unit for the determination of the longitudinal speed of a swimmer. XIIth International Symposium for Biomechanics and Medicine in Swimming, April 28-May 2 2014, Canberra, Australia, Proceedings pp 484-489.
Sanders RH, and McCabe CB. Butterfly Technique. Riewald S, and Rodeo S (eds) Science of swimming faster. Human Kinetics, 2015.
Schramm, E. Sportschwimmen: [Hochschullehrbuch]. Sportverl.,1987, pp 103-109.
Seifert L, Delignieres D, Boulesteix L. Effect of expertise on butterfly stroke coordination. J Sport Sci 25(2): 131-141, 2007.
Siirtola P, Laurinen P, Röning J, and Kinnunen H. Efficient accelerometer-based swimming exercise tracking. IEEE Symposium on Computational Intelligence and Data Mining (CIDM), April 11-15 2011, Paris, France, pp 156-161.
Silva AS, Salazar AJ, Correia MF. WIMU: Wearable inertial monitoring unit. A Mems-Based Device for Swimming Performance Analysis 2001; 87-93.
Slawson SE, Justham LM, West AA. Accelerometer profile recognition of swimming strokes (p17). Estivalet M, and Brisson P (eds). The engineering of sport 7. Paris, Springer, 2009, pp 81-87.
Stamm A, James DA, Burkett BB. Determining maximum push-off velocity in swimming using accelerometers. Procedia Engineering 60: 201-207, 2013.
Staniak Z, Buśko K, Górski M. Accelerometer profile of motion of the pelvic girdle in breaststroke swimming. J Hum Kinet 52(1): 147-156, 2016.
Strzała M, Stanula A, Krężałek P, Ostrowski A, Kaca M, and Głąb G. Butterfly Sprint Swimming Technique, Analysis of Somatic and Spatial-Temporal Coordination Variables. J Hum Kinet 60(1), 51-62, 2017.
Ungerechts BE, Cesarini D, Hamann M. Patterns of flow pressure due to hand-water-interaction of skilled breaststroke swimmers–a preliminary study. Procedia Engineering 147: 330-335, 2016.
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