Gait analysis is an important clinical tool for which numerous biomechanical models are available. Palpation of superficial bony prominences is required in traditional gait analysis in order to identify anatomical landmarks from which joint centres and axes are derived. To reduce the reliance on superficial anatomical landmarks (ALs) and to improve the reliability and accuracy in identifying joint axes, functional methods have been developed . In this study, we proposed a new cluster-based model in which all joint centre locations and knee flexion axis were determined by functional methods, rather than from the locations of ALs. The aim of this study was to investigate whether the Strathclyde functional cluster model (SFCM) could improve the intra- and inter-assessor reliability compared to Vicon’s plug-in gait (PiG) model. A healthy participant performed 10 trial sessions, measured on three consecutive days and by six different assessors. Three-dimensional lower extremity kinematics were evaluated by both SFCM and PiG models.
The dataset contains Vicon capture data, MATLAB scripts for SFCM processing and also kinematic model outputs generated by the PiG and SFCM.
Access to the dataset will be made public on acceptance of publication