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

Evaluation and Research Methodology for mHealth (407) mHealth for Data Collection and Research (1771) Portable and Mobile Technologies for Rehabilitation (291) Technology in Physiotherapy (301) Machine Learning (3303) mHealth for Rehabilitation (579)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85126, first published .
Man using smartphone to analyze runner's knee pain with 3D body scan

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
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Ying P, Wang H, Lu X, Zhang W, Lin Z, Wang K, Li S, Chen L, Jiang M, Hamad S, Wang Y, Wu J, Ling S. The Health Benefits of Exercise: Molecular and Cellular Mechanisms. MedComm 2026;7(9) View