Kai Armstrong¹, Yan Wen¹, Lei Zhang¹, Xujiong Ye¹, Paul Lee^1,2

¹ Lincoln School of Computer Science, University of Lincoln, Brayford Pool, Lincoln, UK
² MSK Doctors, MSK House, London Road, Willoughby, Sleaford, England, UK

This study shows the potential for a marker-less human motion analysis method in a clinical setting, due to both the efficiency of the collection method and the results being more representative of natural human movement. It provides a simpler and more in-depth method of analysing and discovering new biomechanical biomarkers. In terms of the natural representation of movement, the increase of 10-15° in the range of flexion is a significant difference when it comes to the simple task of walking.