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XIIth International Symposium on Biomechanics and Medicine in Swimming

Low-cost prototype development and swim velocity profile identification using neural network associated to generalised extremal optimisation


30 Apr 2014


Dr Roberto Zanetti Freire, Pontifical Catholic University of Parana (PUCPR), Brazil


Dr Roberto Zanetti Freire is professor of the Industrial and Systems Engineering Graduate Program (PPGEPS) at the Pontifical Catholic University of Parana (PUCPR) Brazil. His research areas are related to computational intelligence, identification, optimisation, advanced control, systems simulation and thermal comfort of human beings.


Velocity analyses are supportive for coaches in order to improve swimmers’ technique and have been widely studied in order to improve the athletes’ performance. Especially in short distance competitions, small variations in velocity may be the difference between the first and the second place. Velocity measurement can be performed by different sensors, when accelerometers were adopted, due to sensors characteristics a noisy signal can be obtained and additional hardware and/or algorithms may be necessary to filter the signal (Arellano et al., 2010; Coelho et al. 2013; Stamm et al., 2011).

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