Development of a kick timing estimation algorithm in the crawl stroke for a biofeedback training system using neural oscillators

For the crawl stroke in swimming, it is important that the stroke made by the upper limbs and the flutter kick made by the lower limbs are well coordinated in order to enhance swimming performance. However, the training method to acquire the appropriate flutter kick timing has not been sufficiently...

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Autores principales:	Motomu NAKASHIMA, Takahiro MIYAZAWA, Yuji OHGI
Formato:	article
Lenguaje:	EN
Publicado:	The Japan Society of Mechanical Engineers 2018
Materias:	biofeedback central pattern generator neural oscillator crawl stroke swimming sports engineering Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/8bd31e3b564a4ef4b0b03e25fdc75892
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spelling	oai:doaj.org-article:8bd31e3b564a4ef4b0b03e25fdc758922021-11-26T07:20:09ZDevelopment of a kick timing estimation algorithm in the crawl stroke for a biofeedback training system using neural oscillators2187-974510.1299/mej.17-00518https://doaj.org/article/8bd31e3b564a4ef4b0b03e25fdc758922018-04-01T00:00:00Zhttps://www.jstage.jst.go.jp/article/mej/5/3/5_17-00518/_pdf/-char/enhttps://doaj.org/toc/2187-9745For the crawl stroke in swimming, it is important that the stroke made by the upper limbs and the flutter kick made by the lower limbs are well coordinated in order to enhance swimming performance. However, the training method to acquire the appropriate flutter kick timing has not been sufficiently established. In the present study, a biofeedback training system for swimmers to acquire appropriate kick timing was proposed. In this system, the most difficult and important part is the estimation of the appropriate kick timing. Therefore, the objective of this study was to develop a kick timing estimation algorithm in the crawl stroke for biofeedback training system using neural oscillators. First, a CPG network which outputs the kick estimation timing according to the input was constructed. In order to synchronize the roll angle in the CPG network with the actual one measured by a sensor, a special algorithm to change the cycle of the oscillation for the CPG network was introduced. Validation for the output of sinusoidal input accompanying sudden change in cycle was examined. It was found that the output signal for the roll tracked the input signal well, despite the sudden change in cycle. Validation for the actual input obtained in the experiment was next examined. It was found that the output from the CPG network was sufficiently consistent with the experimental values, suggesting sufficient performance of the proposed estimation algorithm.Motomu NAKASHIMATakahiro MIYAZAWAYuji OHGIThe Japan Society of Mechanical Engineersarticlebiofeedbackcentral pattern generatorneural oscillatorcrawl strokeswimmingsports engineeringMechanical engineering and machineryTJ1-1570ENMechanical Engineering Journal, Vol 5, Iss 3, Pp 17-00518-17-00518 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	biofeedback central pattern generator neural oscillator crawl stroke swimming sports engineering Mechanical engineering and machinery TJ1-1570
spellingShingle	biofeedback central pattern generator neural oscillator crawl stroke swimming sports engineering Mechanical engineering and machinery TJ1-1570 Motomu NAKASHIMA Takahiro MIYAZAWA Yuji OHGI Development of a kick timing estimation algorithm in the crawl stroke for a biofeedback training system using neural oscillators
description	For the crawl stroke in swimming, it is important that the stroke made by the upper limbs and the flutter kick made by the lower limbs are well coordinated in order to enhance swimming performance. However, the training method to acquire the appropriate flutter kick timing has not been sufficiently established. In the present study, a biofeedback training system for swimmers to acquire appropriate kick timing was proposed. In this system, the most difficult and important part is the estimation of the appropriate kick timing. Therefore, the objective of this study was to develop a kick timing estimation algorithm in the crawl stroke for biofeedback training system using neural oscillators. First, a CPG network which outputs the kick estimation timing according to the input was constructed. In order to synchronize the roll angle in the CPG network with the actual one measured by a sensor, a special algorithm to change the cycle of the oscillation for the CPG network was introduced. Validation for the output of sinusoidal input accompanying sudden change in cycle was examined. It was found that the output signal for the roll tracked the input signal well, despite the sudden change in cycle. Validation for the actual input obtained in the experiment was next examined. It was found that the output from the CPG network was sufficiently consistent with the experimental values, suggesting sufficient performance of the proposed estimation algorithm.
format	article
author	Motomu NAKASHIMA Takahiro MIYAZAWA Yuji OHGI
author_facet	Motomu NAKASHIMA Takahiro MIYAZAWA Yuji OHGI
author_sort	Motomu NAKASHIMA
title	Development of a kick timing estimation algorithm in the crawl stroke for a biofeedback training system using neural oscillators
title_short	Development of a kick timing estimation algorithm in the crawl stroke for a biofeedback training system using neural oscillators
title_full	Development of a kick timing estimation algorithm in the crawl stroke for a biofeedback training system using neural oscillators
title_fullStr	Development of a kick timing estimation algorithm in the crawl stroke for a biofeedback training system using neural oscillators
title_full_unstemmed	Development of a kick timing estimation algorithm in the crawl stroke for a biofeedback training system using neural oscillators
title_sort	development of a kick timing estimation algorithm in the crawl stroke for a biofeedback training system using neural oscillators
publisher	The Japan Society of Mechanical Engineers
publishDate	2018
url	https://doaj.org/article/8bd31e3b564a4ef4b0b03e25fdc75892
work_keys_str_mv	AT motomunakashima developmentofakicktimingestimationalgorithminthecrawlstrokeforabiofeedbacktrainingsystemusingneuraloscillators AT takahiromiyazawa developmentofakicktimingestimationalgorithminthecrawlstrokeforabiofeedbacktrainingsystemusingneuraloscillators AT yujiohgi developmentofakicktimingestimationalgorithminthecrawlstrokeforabiofeedbacktrainingsystemusingneuraloscillators
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Development of a kick timing estimation algorithm in the crawl stroke for a biofeedback training system using neural oscillators

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