
Clinical question
How well can a deep-learning video pipeline estimate speed during a 10-meter walk in a real-world outdoor setting?
Study design
Thirty-two healthy participants across three age groups walked at slow, comfortable and fast speeds. A YOLOv11x-based system estimated segment speeds, which were compared against the Tracker video-analysis software.
What the researchers found
Correlations ranged from 0.92 to 0.98 across evaluated segments and speeds; Bland–Altman analyses indicated good agreement in the tested setup.
Why this matters for MedMeters
The study supports the concept of a calibrated video gait-speed protocol that can generate structured mobility measures without a dedicated gait laboratory.
What this does not prove
This was a small healthy cohort and a comparison against another video-analysis tool—not proof of clinical interchangeability with all gait measurement standards or accuracy in patients using walking aids.
Validation of a Deep Learning-Based Markerless Video System for Gait Speed Assessment During the 10-Meter Walk Test in Outdoor Clinical Settings
Kamnardsiri et al. · JFMK · 2026
DOI: 10.3390/jfmk11030357