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Technical Support System for Baseball Beginners by Analyzing Batting Stance with Sensors

Published: 19 November 2018 Publication History

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.

References

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Cited By

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  • (2023)ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical AnalysisProceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3580305.3599906(5126-5136)Online publication date: 6-Aug-2023

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    cover image ACM Other conferences
    MoMM2018: Proceedings of the 16th International Conference on Advances in Mobile Computing and Multimedia
    November 2018
    157 pages
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    In-Cooperation

    • Johannes Kepler University, Linz, Austria
    • @WAS: International Organization of Information Integration and Web-based Applications and Services
    • Johannes Kepler University

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 19 November 2018

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    Author Tags

    1. Analyzing batting stance
    2. baseball beginners
    3. sensors
    4. technical support system

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    View all
    • (2023)ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical AnalysisProceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3580305.3599906(5126-5136)Online publication date: 6-Aug-2023

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