Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
Online ISSN : 1881-7203
Print ISSN : 1347-7986
ISSN-L : 1347-7986
Short Notes
Estimation Method of Turn Section During Swimming by Using Ensemble Learning and Single Inertial Sensor
Masahiro KOBAYASHIYuto OMAEKazuki SAKAITakuma AKIDUKIAkira SHIONOYAHirotaka TAKAHASHI
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JOURNAL OPEN ACCESS

2019 Volume 31 Issue 1 Pages 597-602

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Abstract

We aim to develop a swimming motion coaching system for beginner and/or intermediate swimmers using a single inertial sensor. One of the requirements of the system is the process of automatically estimating and dividing the section of swimming motions (such as stroke and turn) from the sensor data. In the previous study which performed automatic estimation of the swimming motion by non ensemble learning, it was impossible to remove the different motion patterns by individuals, and the generalization ability was low. In this paper, in order to learn a common pattern in each motion and realize the motion estimation with high accuracy, we proposed an estimation method of the turn section by using random forest which is one of ensemble learning. As a result, it was suggested that the turn section could be estimated with higher accuracy than non ensemble learning method in all four swimming styles.

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© 2019 Japan Society for Fuzzy Theory and Intelligent Informatics
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