Dynamic models of team rowing for a virtual environment rowing training system

Filippeschi, Alessandro; Ruffaldi, Emanuele; Frisoli, Antonio; Avizzano, Carlo Alberto; Varlet, Manuel; Marín, Ludovic; Julien, Lagarde; Benoit, Bardy; Bergamasco, Massimo

doi:10.20870/ijvr.2009.8.4.2749

Cited by 4 publications

(1 citation statement)

References 8 publications

(14 reference statements)

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“…10 This mirrors the requirements for real-time or off-line biofeedback. Filippeschi et al 11 developed a rowing training system in a VE which provides an analysis of the rowing gesture which combines models of human, boat and oar motion to provide a simulated outdoor rowing experience. While this study proved successful in altering performance, it is costly, time-consuming and there are still many questions such as what information should be fed back to the athlete, how these should be communicated and in what format.…”

Section: Introductionmentioning

confidence: 99%

Communicating and using biomechanical measures through visual cues to optimise safe and effective rowing

McGregor

Buckeridge

Murphy

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part P:

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The use of representations of physiological parameters to an athlete and coach during training is becoming increasingly common. Their utility is enhanced when the appropriate data are captured and communicated in real time for the athlete to make training adjustments immediately. The aim of this work was to develop a biofeedback tool for ergometer rowing by creating a data acquisition system, data analysis and interpretation that could be conducted in real time and a feedback system with appropriate cues to the athlete. This fourteen year study resulted in a set of measured parameters with inferred correlations between the directly measured parameters acquired during the activity and performance and injury outcome measures. These parameters were represented through a customisable visual display in real-time during ergometer training. An athlete and coach open survey was conducted to assess the utility of the biofeedback tool. This survey found that all parties valued the feedback system since it provided a common language to identify body motion and performance parameters in a way that was accessible and meaningful to all parties as well available during training and coaching. Athletes noted that it helped them to understand body segment motion and its relation to performance and both coaches and medical staff valued this in enhancing performance and monitoring injury and injury prediction. There was also speculation that the system help to underpin coaching practice and its translation to the team. The biofeedback tool has been adopted by the British elite rowing squad

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Section: Introductionmentioning

confidence: 99%