Markerless Kinematic Data in the Frontal Plane Contributions to Movement Quality in the Single-Leg Squat Test: A Comparison and Decision Tree Approach

The quality of SLS was found to be associated with interactions among frontal knee and summated angles. With an automated pose estimation algorithm, a single smartphone computer vision method can be utilized to compare and distinguish the quality of SLS movement for remote clinical and sports assessments.

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Publication Details

Journal
Journal of Sport Rehabilitation
Published
2024-11-05
DOI
https://doi.org/10.1123/jsr.2024-0182
Citations
2
Primary Topic
Sports injuries and prevention
Type
article
Field-Weighted Citation Impact
0.96
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article

Markerless Kinematic Data in the Frontal Plane Contributions to Movement Quality in the Single-Leg Squat Test: A Comparison and Decision Tree Approach

Kyu-Nam Park, Yong-Wook Kim, Sujin Kim, Juhyun Park
2 citations
Journal of Sport Rehabilitation
Sports injuries and prevention
0.96
article

Markerless Kinematic Data in the Frontal Plane Contributions to Movement Quality in the Single-Leg Squat Test: A Comparison and Decision Tree Approach

Kyu-Nam Park, Yong-Wook Kim, Sujin Kim, Juhyun Park
article en
2 citations

Abstract

The quality of SLS was found to be associated with interactions among frontal knee and summated angles. With an automated pose estimation algorithm, a single smartphone computer vision method can be utilized to compare and distinguish the quality of SLS movement for remote clinical and sports assessments.

Journal of Sport RehabilitationVol. 34(2)
Yonsei University (KR), Jeonju University (KR)
No poverty
Openalex Percentile: Top 26%
Sports injuries and prevention
0.96
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