Diffusion Models Enable Zero-Shot Pose Estimation for Lower-Limb
  Prosthetic Users
Tianxun Zhou Muhammad Nur Shahril Iskandar Keng-Hwee Chiam
The application of 2D markerless gait analysis has garnered increasing
interest and application within clinical settings. However, its effectiveness
in the realm of lower-limb amputees has remained less than optimal. In
response, this study introduces an innovative zero-shot method employing image
generation diffusion models to achieve markerless pose estimation for
lower-limb prosthetics, presenting a promising solution to gait analysis for
this specific population. Our approach demonstrates an enhancement in detecting
key points on prosthetic limbs over existing methods, and enables clinicians to
gain invaluable insights into the kinematics of lower-limb amputees across the
gait cycle. The outcomes obtained not only serve as a proof-of-concept for the
feasibility of this zero-shot approach but also underscore its potential in
advancing rehabilitation through gait analysis for this unique population.