Clinical question
Can a mobile vision system produce scores that agree with a clinical assessor during routine mobility tests?
Study design
Researchers enrolled 228 adults with at least one chronic medical condition. A certified exercise physiologist and a markerless motion-capture application scored 30-second Sit-to-Stand, Timed Up and Go and the component tasks of the Short Physical Performance Battery at the same time. The app used a LiDAR-enabled iPad.
What the researchers found
Agreement was good to excellent across tested tasks: ICCs ranged from 0.812 for tandem standing to 0.995 for five-times Sit-to-Stand. Overall SPPB score showed weighted kappa 0.808; technology-related data loss was 3.1%.
Why this matters for MedMeters
This is direct feasibility evidence for the first MedMeters Mobility modules. It supports the idea of automated timing and scoring within defined clinical protocols rather than a generic movement score.
What this does not prove
The app, hardware and study population were not MedMeters. It used LiDAR hardware, supervised testing and its own algorithms; results cannot be transferred to ordinary single-camera RGB video or unsupervised home testing.
Validation of a markerless motion capture app for automated scoring of sit-to-stand, timed up and go, and short physical performance battery tests in adults with chronic disease
Bertrand et al. · PLOS Digital Health · 2026
DOI: 10.1371/journal.pdig.0001172