Abstract
Rowing performance depends on maximization of mechanical power delivered by the rower(s) and minimization of power losses [1]. Though reductions of power losses may increase the average velocity of a boat, traditional feedback methods lack the accuracy to differentiate between small variations in this power losses. Therefore, we developed a feedback tool to provide real-time feedback about power parameters related to rowing. The current study evaluated the efficacy-with respect to velocity fluctuation power losses-of the real-time feedback on the power loss due to velocity fluctuations compared to the efficacy of traditional feedback.
Highlights
Rowing performance depends on maximization of mechanical power delivered by the rower(s) and minimization of power losses [1]
The current study evaluated the efficacy-with respect to velocity fluctuation power losses-of the real-time feedback on the power loss due to velocity fluctuations compared to the efficacy of traditional feedback
Multilevel analyses revealed that neither traditional coach feedback nor real-time feedback from the application resulted in a significant decrease of velocity fluctuations due to power loss
Summary
Rowing performance depends on maximization of mechanical power delivered by the rower(s) and minimization of power losses [1]. Though reductions of power losses may increase the average velocity of a boat, traditional feedback methods lack the accuracy to differentiate between small variations in this power losses. We developed a feedback tool to provide real-time feedback about power parameters related to rowing. The current study evaluated the efficacy-with respect to velocity fluctuation power losses-of the real-time feedback on the power loss due to velocity fluctuations compared to the efficacy of traditional feedback
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