Data from: A low-cost markerless motion capture system to automate functional gait assessment: Feasibility study

Functional gait assessments in older adults have traditionally required
manual in-person quantification of clinical measures such as walking speed
and step placement. This reliance on individuals trained in motion
analysis hinders the frequency with which they are performed, and reduces
their generalizability and replicability. To standardize, simplify, and
broaden access to gait assessments we here deploy recently-developed
open-source tools to produce a low-cost, AI driven markerless motion
capture system with custom analysis software for Functional Gait
Assessment. Our system uses 3 Cameras, and was validated with a
traditional marker-based system on subjects (N = 3), showing strong
correlation to laboratory-standard measures of step length (R2 = 0.98),
step width (R2 = 0.97), and head speed (R2 = 0.95). The markerless
system’s FGA reports demonstrated data similar to previous FGA findings in
older adult subjects (N = 5). Moreover, supplemental standard
biomechanical gait measures Step Width, walking Duration, and continuous
Gait Speed may be integrated to augment existing FGA. This study
demonstrates a proof-of-principle open-source markerless system for
analyses of functional gait.