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Instrumented Rowing Machine for Optimized Training

  • Conference paper

Part of the Conference Proceedings of the Society for Experimental Mechanics Series book series (CPSEMS)

Abstract

Indoor training of rowers is mainly carried out on rowing machines. Modern rowing machines are equipped with a small computer that allows to register both the effort done by the athlete and the covered distance. However, the effort is measured indirectly and it is not possible to determine, within the rowing movement, how this effort is distributed. Moreover, no information is provided on the forces exerted on the footrests, thus preventing trainers to determine the configuration that maximizes performances.

The present work deals with the re-design of a rowing machine able to accommodate force sensors for measuring the time histories of the traction force at the handlebar, the two force components on the footrest (taken directly form the boat so that settings can be ported immediately), the vertical force and the displacement of the seat. Preliminary tests for assessing the athletes’ performances are also presented.

Keywords

  • Rowing Machine
  • Ottoman
  • Handlebars
  • Athletes
  • Indoor Training

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/978-1-4614-2419-2_51
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Notes

  1. 1.

    The advantage of such data acquisition system is that both analogue and digital channels are powered thus not requiring an external power pack for the sensors. Note that the acquisition system is provided with programmable anti-aliasing filters.

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Correspondence to Francesco Braghin .

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© 2012 The Society for Experimental Mechanics, Inc.

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Bassetti, M., Braghin, F., Cheli, F., Maldifassi, S. (2012). Instrumented Rowing Machine for Optimized Training. In: Allemang, R., De Clerck, J., Niezrecki, C., Blough, J. (eds) Topics in Modal Analysis II, Volume 6. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-2419-2_51

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  • DOI: https://doi.org/10.1007/978-1-4614-2419-2_51

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-2418-5

  • Online ISBN: 978-1-4614-2419-2

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