Feasibility Study of an Image-based Supporting System for Sprint Training

Shiho Hanashiro, Motoki Takematsu, Ryusuke Miyamoto

2021

Abstract

This study focuses on developing a novel system to improve the performance of short-distance races, where stride length, stride frequency, and maximum velocity are important factors. To estimate stride length and stride frequency, color-based image processing is adopted to extract the feet of a runner, based on cosine similarity in the RGB color space. The experimental results indicate that the stride length and stride frequency could be estimated with negligible errors. To estimate the running velocity; visual object detection, and pose estimation based on state-of-the-art deep learning schemes were applied: RetinaNet for visual object detection, and OpenPose for pose estimation. The experimental results using the real image dataset, indicated that the estimation error of the velocity by the proposed scheme was quite negligible.

Paper Citation

in Harvard Style

Hanashiro S., Takematsu M. and Miyamoto R. (2021). Feasibility Study of an Image-based Supporting System for Sprint Training. In Proceedings of the 9th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS, ISBN 978-989-758-539-5, pages 151-156. DOI: 10.5220/0010713500003059

in Bibtex Style

@conference{icsports21,
author={Shiho Hanashiro and Motoki Takematsu and Ryusuke Miyamoto},
title={Feasibility Study of an Image-based Supporting System for Sprint Training},
booktitle={Proceedings of the 9th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS,},
year={2021},
pages={151-156},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010713500003059},
isbn={978-989-758-539-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS,
TI - Feasibility Study of an Image-based Supporting System for Sprint Training
SN - 978-989-758-539-5
AU - Hanashiro S.
AU - Takematsu M.
AU - Miyamoto R.
PY - 2021
SP - 151
EP - 156
DO - 10.5220/0010713500003059