Markerless motion capture-based machine learning models for …
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- DOI 10.1186/s12891-026-10453-4
- OpenAlex ID W7213906434
- Type Article
- Language EN
- Published 22 Sep 2026
- Source BMC Musculoskeletal Disorders
- Publisher BioMed Central
- Countries 1
- Institutions 3
- Added 22 Sep 2026
- Updated 22 Sep 2026
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Markerless motion capture-based machine learning models for low back pain classification: a proof of concept investigation
Article 2026 EN Gold
Low back pain affects up to 70% of individuals globally, posing significant health and economic challenges. Traditional methods for classifying low back pain, including radiological imaging and functional tests, are limited by the substantial costs and limited utility via radiological imaging, as well as the inherent subjectivity of functional tests. To address these limitations, we propose a move…
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UN Sustainable Development Goals
1 SDGsAuthors & Affiliations
2 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Kyungun Bae Corresponding | Seoul National University (KR) Yonsei University (KR) +1 | — |
| 2 | Sung H. You Corresponding | Yonsei University (KR) Yonsei University Mirae Campus (KR) | — |
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