Analysis of swimmers’ velocity during the underwater gliding motion following grab start

Elipot, Marc; Hellard, Philippe; Taïar, R.; Boissière, Eric; Rey, Jean-Lionel; Lecat, Stéphane; Houel, Nicolas

doi:10.1016/j.jbiomech.2009.03.032

Cited by 57 publications

(65 citation statements)

References 13 publications

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“…The loading of the components varied between participants. Elipot et al [45] investigated the underwater gliding motion during swimming start using PCA. They showed that by covarying the shoulder, hip, and knee joint movements swimmers attained a more streamlined posture optimizing underwater gliding velocity [45].…”

Section: Principal Component Analysismentioning

confidence: 99%

“…Elipot et al [45] investigated the underwater gliding motion during swimming start using PCA. They showed that by covarying the shoulder, hip, and knee joint movements swimmers attained a more streamlined posture optimizing underwater gliding velocity [45]. Forner-Corder, Levin, Li, and Swinnen [37] investigated the application of PCA to rhythmical parallel flexion-extension movements of elbows and wrists.…”

Section: Principal Component Analysismentioning

confidence: 99%

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Measurement Methods to Analyze Changes in Coordination During Motor Learning from a Non-linear Perspective

Rein¹

2012

TOSSJ

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During the last two decades investigations into motor learning have gone beyond the traditional discrete summary statistics and more and more complex process oriented movement variables are being investigated. This increase in the complexity of data entails also an increase in the complexity of the data analysis. The present paper serves as an introduction for sports scientists to several different analysis methods, which have produced many interesting insights in the area of motor control and motor learning over the last few years, thereby highlighting non-linear aspects of motor learning. An approachable introduction to root-mean square measures, uncontrolled manifold analysis, principal component analysis, and cluster analysis is given. These analysis tools enable sports scientists to investigate motor learning from a non-linear perspective and to gain a better knowledge of the processes occurring during motor learning.

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Section: Principal Component Analysismentioning

confidence: 99%

Section: Principal Component Analysismentioning

confidence: 99%

Measurement Methods to Analyze Changes in Coordination During Motor Learning from a Non-linear Perspective

Rein¹

2012

TOSSJ

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“…The dive start is composed of five phases: starting block, air, water entry, glide, and underwater kick. The performance of the dive start is affected by many factors such as starting form, take-off angle, water entry angle, timing of starting kick and so on (1)(2)(3) . Therefore, many studies of the dive start have been conducted to date.…”

Section: Introductionmentioning

confidence: 99%

Modeling Fluid Forces in the Dive Start of Competitive Swimming

Kiuchi

Nakashima

Cheng

et al. 2010

JBSE

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The objective of this study was to construct a fluid force model for the dive start. The fluid force model is incorporated into a swimming human simulation model SWUM, which has been developed by the authors. In order to identify the fluid force coefficients in the model, dive starts performed by actual swimmers were filmed and reproduced by the simulation model. The fluid force coefficients were determined so that the swimmers' movement in the simulation agreed with that of the experiment as much as possible. From simulations using the identified fluid force coefficients, it was found that simulation results of normal and 'intentionally bad form' trials for one subject agreed well with the experimental ones. This suggests that the proposed fluid force model would be valid to reproduce dive starts of various forms. For trials of another subject, the discrepancy between simulation and experiment becomes somewhat larger. This error can be reduced, however, by tuning the fluid force coefficients. This indicates that tuning the fluid force coefficients is effective to improve the accuracy of the simulation, and that the proposed model for the fluid forces will be valid for other swimmers.

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“…: Elipot et al, 2009;Naemi, Easson y Sanders, 2010;Sanders, 2002;Thow, Naemi y Sanders, 2012;Tor, Pease y Ball, 2014;Vantorre, Seifert, Fernandes, Vilas-Boas y Chollet, 2010a, b, c;Vilas-Boas, Cruz, Sousa, Conceiçao y Carvahlo, 2000.…”

Section: La Fase Subacuática De Nado Tras La Salidaunclassified

“…Aun así, hay autores que señalan que los nadadores deberían aprender a gestionar el deslizamiento, el batido subacuático y la salida para iniciar el nado con la brazada (Elipot et al, 2009;Elipot, Dietrich, Hellard y Houel, 2010a;Elipot et al, 2010b;Maglischo, 2003;Vantorre et al, 2010c).…”

Section: Caracteristicas De La Fase Subacuática De Nadounclassified

Análisis cinemático de la salida con empuje en nadadores competitivos de nivel nacional

Morales¹

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Analysis of swimmers’ velocity during the underwater gliding motion following grab start

Cited by 57 publications

References 13 publications

Measurement Methods to Analyze Changes in Coordination During Motor Learning from a Non-linear Perspective

Measurement Methods to Analyze Changes in Coordination During Motor Learning from a Non-linear Perspective

Modeling Fluid Forces in the Dive Start of Competitive Swimming

Análisis cinemático de la salida con empuje en nadadores competitivos de nivel nacional

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