Anthropometry and diagnostic aware deep learning for exercise assessment
ADA demonstrates that subject-specific static features improve movement quality classification and risk stratification, supporting wearable-based personalized feedback in training and rehabilitation.
Authors
- Karla Miriam Reyes Leiva (ORCID: https://orcid.org/0000-0002-3269-0830)
- Martin Černý (ORCID: https://orcid.org/0000-0002-8893-2587)
- Pavla Nikelova (ORCID: https://orcid.org/0009-0002-2832-005X)
Institutions
- VSB - Technical University of Ostrava (CZ)
Publication Details
- Journal
- Frontiers in Medical Technology
- Published
- 2026-02-06
- DOI
- https://doi.org/10.3389/fmedt.2025.1725661
- Primary Topic
- Balance, Gait, and Falls Prevention
- Type
- article
- Field-Weighted Citation Impact
- 0.00