Vision-based approach to knee osteoarthritis and Parkinson's disease detection utilizing human gait patterns.

ABSTRACT: Recently, the number of cases of musculoskeletal and neurological disorders, such as knee osteoarthritis (KOA) and Parkinson's disease (PD), has significantly increased. Numerous clinical methods have been proposed in research to diagnose these disorders; however, a current trend in diagnosis is through human gait patterns. Several researchers proposed different methods in this area, including gait detection utilizing sensor-based data and vision-based systems that include both marker-based and marker-free techniques. The majority of current studies are concerned with the classification of Parkinson's disease. Furthermore, many vision-based algorithms rely on human gait silhouettes or gait representations and employ traditional similarity-based methodologies. However, in this study, a nove

SUBMITTER: Ali Z 

PROVIDER: S-EPMC12192726 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature