Markerless Gait Analysis (OpenCap) — Pediatric GBS Pre–Post Dataset and Code

Description This repository contains the analysis pipeline and processed gait data used in the proof-of-concept study “Markerless Motion Capture for Quantitative Monitoring of Rehabilitation in Pediatric Guillain-Barré Syndrome.” The dataset includes pre- and post-rehabilitation gait kinematics derived from OpenCap (Stanford University) and processed in OpenSim v4.5, along with Python scripts for data analysis, visualization, and spatiotemporal comparison. The repository is intended to support reproducibility and open scientific sharing of markerless motion-capture workflows in pediatric neurorehabilitation research. Contents• /code/: Python scripts and OpenSim inverse-kinematics configuration files• /data/: Processed OpenCap → OpenSim outputs (TRC, CSV) and spatiotemporal parameters• /results/: SPM results, kinematic overlays, and publication-ready figures (Fig. 2–4)• /meta/: README, licenses, and citation files Ethics & PrivacyOnly de-identified, processed data are shared. No raw video or personally identifiable information is included (IRB No. 2025-09-063, Kyungpook National University Chilgok Hospital). Funding This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (RS-2025-19663005).