M2S Laboratory

Bruz, France

M2S Laboratory

Bruz, France
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Martin C.,M2S Laboratory | Bideau B.,M2S Laboratory | Ropars M.,M2S Laboratory | Ropars M.,Pontchaillou University Hospital | And 2 more authors.
Scandinavian Journal of Medicine and Science in Sports | Year: 2014

The aim of this work was to compare the joint kinetics and stroke production efficiency for the shoulder, elbow, and wrist during the serve between professionals and advanced tennis players and to discuss their potential relationship with given overuse injuries. Eleven professional and seven advanced tennis players were studied with an optoelectronic motion analysis system while performing serves. Normalized peak kinetic values of the shoulder, elbow, and wrist joints were calculated using inverse dynamics. To measure serve efficiency, all normalized peak kinetic values were divided by ball velocity. t-tests were used to determine significant differences between the resultant joint kinetics and efficiency values in both groups (advanced vs professional). Shoulder inferior force, shoulder anterior force, shoulder horizontal abduction torque, and elbow medial force were significantly higher in advanced players. Professional players were more efficient than advanced players, as they maximize ball velocity with lower joint kinetics. Since advanced players are subjected to higher joint kinetics, the results suggest that they appeared more susceptible to high risk of shoulder and elbow injuries than professionals, especially during the cocking and deceleration phases of the serve. © 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.


Benguigui N.,M2S Laboratory | Brault S.,M2S Laboratory | Kulpa R.,M2S Laboratory | Duliscouet L.,M2S Laboratory | And 2 more authors.
Movement and Sports Sciences - Science et Motricite | Year: 2015

The purpose of this study is to propose an original methodology to study the action of a goalkeeper facing a free kick. This methodology is based on a virtual reality setup in which a real goalkeeper is facing a virtual player and a virtual defensive wall. The setup has been improved to provide a total freedom of movement to the goalkeeper in order to have a realistic interaction between the goalkeeper and the player. The goalkeeper's movements are captured in real-time to accurately analyze his reactions. Such a methodology not only represents a valuable research tool but also provides a relevant training tool. Using this setup, this paper shows that goalkeepers are more performant during free kick with a wall composed of 5 defenders whatever its position. © ACAPS, EDP Sciences, 2015.


Sorel A.,M2S Laboratory | Kulpa R.,M2S Laboratory | Kulpa R.,French Institute for Research in Computer Science and Automation | Badier E.,M2S Laboratory | And 3 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2012

Recognition of natural gestures is a key issue in videogames and other immersive applications. Whatever the motion capture device, the key problem is to recognize a motion that could be performed by different users at interactive time. Hidden Markov Models (HMM) are commonly used to recognize the performance of a user but they rely on a motion representation that strongly affects the global performance of the system. In this paper, we demonsrate that using a compact motion representation based on Morphology-Independent features offers better performance compared to classical motion representations especially for users whose data were not used for training. © 2012 Springer-Verlag Berlin Heidelberg.

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