Video-Based Gait Assessment Using Machine Learning to Classify Age and Sex in Low-Resource Settings: Cross-Sectional Study Background: Gait assessment is an important tool for evaluating health risks in older adults but remains underused in low-resource settings. We explored the #feasibility of using a low-cost, simple walking protocol with smartphone video capture to extract health-related gait signals by classifying sex and age. Sex and age are fundamental biological factors linked to most health- and aging-related outcomes. Establishing baseline classification performance provides justification for future exploration of more complex health-related conditions using this protocol. Objective: This study aimed to assess whether pose parameters derived from smartphone-based gait videos can be used by machine learning models to classify age and sex. Methods: A cross-sectional study was conducted with 155 participants (Thailand: n=59, 38.1%; India: n=96, 61.9%). Participants performed a simple walking protocol while being recorded using smartphones. Pose estimation was conducted using the MediaPipe algorithm to extract 109 features related to joint distances, angles, and walking speed. For #feasibility assessment, we calculated the proportion of recordings for which pose estimation could be extracted. Elastic-net logistic regression and histogram-based gradient boosting classifiers were used for analysis. Model performance was evaluated using 5-fold cross-validation. Outcomes were sex (male vs female) and age group (aged

JMIR Formative Res: Video-Based Gait Assessment Using Machine Learning to Classify Age and Sex in Low-Resource Settings: Cross-Sectional Study #GaitAssessment #MachineLearning #HealthTech #Aging #LowResourceSettings

Published in Archives of PM&R:
Does minimal detectable change in the 10-Meter Walk Test and TUG differ by Parkinson’s disease severity?

Read here: www.archives-pmr.org/article/S0003-9993(26)00...

#ArchivesPMR #ParkinsonsDisease #OutcomeMeasures #GaitAssessment #ACRM #PMR

Published in Archives of PM&R:
Does minimal detectable change in the 10-Meter Walk Test and TUG differ by Parkinson’s disease severity?

Read here: www.archives-pmr.org/article/S0003-9993(26)00...

#ArchivesPMR #ParkinsonsDisease #OutcomeMeasures #GaitAssessment #ACRM #PMR