Technical support system for baseball beginners by analyzing batting stance with sensors

Hiroaki Ito, Yusuke Gotoh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recently a support system that improves sports skills using sensor or video camera data is attracting great attention. Since most of these systems are developed for professional athletes, few are available for beginners. In baseball, hitting skills are generally acquired based on oral pantomimed by baseball experts who acquired baseball skills at school or club team. In this case, it is difficult for beginners to understand the advice based on the skill level of baseball experts. In this paper, we propose a support system through which beginners improve their hitting skills by analyzing the batting stance of baseball players using such multiple sensors as acceleration and angular velocity sensors. In our proposed system, beginners swing based on attached multiple sensors that compose a triaxial acceleration sensor and an angular velocity sensor to the bat and the body. A baseball coach analyzes the modification of the batting stance of beginners by measuring the sensor values of the swing. In the evaluation result, we analyzed the differences of hitting stance between baseball experts and beginners and confirmed that we can effectively support the hitting skill of baseball beginners.

Original languageEnglish
Title of host publicationMoMM 2018 - 16th International Conference on Advances in Mobile Computing and Multimedia
EditorsIvan Luiz Salvadori, Ismail Khalil, Matthias Steinbauer, Pari Delir Haghighi, Kotsis Gabriele Anderst
PublisherAssociation for Computing Machinery
Pages128-132
Number of pages5
ISBN (Electronic)9781450364522
DOIs
Publication statusPublished - Nov 19 2018
Event16th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2018 - Yogyakarta, Indonesia
Duration: Nov 19 2018Nov 21 2018

Other

Other16th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2018
CountryIndonesia
CityYogyakarta
Period11/19/1811/21/18

Keywords

  • Analyzing batting stance
  • Baseball beginners
  • Sensors
  • Technical support system

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    Ito, H., & Gotoh, Y. (2018). Technical support system for baseball beginners by analyzing batting stance with sensors. In I. L. Salvadori, I. Khalil, M. Steinbauer, P. D. Haghighi, & K. G. Anderst (Eds.), MoMM 2018 - 16th International Conference on Advances in Mobile Computing and Multimedia (pp. 128-132). Association for Computing Machinery. https://doi.org/10.1145/3282353.3282364