This paper is in the following e-collection/theme issue:

Evaluation and Research Methodology for mHealth (254) mHealth for Rehabilitation (377) Portable and Mobile Technologies for Rehabilitation (208) mHealth for Data Collection and Research (1243) Machine Learning (2204) Technology in Physiotherapy (210)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85126, first published .
Smartphone-Based Interpretable Machine Learning for Classifying Single-Leg Squat Performance Using Trunk, Pelvic, and Knee Kinematics: Cross-Sectional Study

Smartphone-Based Interpretable Machine Learning for Classifying Single-Leg Squat Performance Using Trunk, Pelvic, and Knee Kinematics: Cross-Sectional Study

Smartphone-Based Interpretable Machine Learning for Classifying Single-Leg Squat Performance Using Trunk, Pelvic, and Knee Kinematics: Cross-Sectional Study

Authors of this article:

Sihyun Kim1 Author Orcid Image ;   Kyuenam Park2 Author Orcid Image
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