Evidence map›Paper›PMID 38033658›Full record

ArticleFrontiers in sports and active living2023

Extracting proficiency differences and individual characteristics in golfers' swing using single-video markerless motion analysis.

Kota Yamamoto, Yumiko Hasegawa, Tomohiro Suzuki, Hiroo Suzuki, Hiroko Tanabe, Keisuke Fujii

Abstract read
In one paragraph

Article in Frontiers in sports and active living, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Kota YamamotoGraduate School of Informatics, Nagoya University, Nagoya, Japan.
Yumiko HasegawaFaculty of Humanities and Social Sciences, Iwate University, Morioka, Japan.
Tomohiro SuzukiGraduate School of Informatics, Nagoya University, Nagoya, Japan.
Hiroo SuzukiFaculty of Economics, Ryukoku University, Kyoto, Japan.
Hiroko TanabeInstitutes of Innovation for Future Society, Nagoya University, Nagoya, Japan.
Keisuke FujiiGraduate School of Informatics, Nagoya University, Nagoya, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we analyzed golfers' swing movement to extract differences in proficiency and individual characteristics using two-dimensional video data from a single camera. We conducted an experiment with 27 golfers who had a wide range of skill levels, using a 7-iron; we acquired video data with a camera on the sagittal plane. For data extraction, we used pose estimation (using HRNet) and object detection (using DeepLabCut) methods to extract human-joint and club-head data. We examined the relationship between proficiency and individual characteristics vis-à-vis forward tilt angle and club trajectory. The results showed that the stability and reproducibility of the forward tilt angle are characteristics of proficiency. Highly skilled golfers showed low variability and high reproducibility between trials in forward tilt angle. However, we found that club trajectory may not be a characteristic of proficiency but rather an individual characteristic. Club trajectory was divided roughly into clockwise rotation and counterclockwise rotation. Thus, the analysis based on video data from a single markerless camera enabled the extraction of the differences in proficiency and individual characteristics of golf swing. This suggests the usefulness of our system for simply evaluating golf swings and applying it to motor learning and coaching situations.

Indexed as

golf swingindividual characteristicsmarkerless motion analysisobject detectionpose estimationproficiency

Identifiers

PMID38033658
PMCPMC10684732

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.