Can machines understand equine locomotion?

PhD student Jeanne Parmentier

This research project focuses on using sensor networks combined with machine and deep learning techniques to bring more information to the different stakeholders during equine locomotion evaluations, including kinetic and kinematic analyses, context detection, and lameness detection.

Project leader

Jeanne Parmentier Msc, PhD student

Academic supervisors

prof.dr. René van Weeren (UU), prof.dr. Paul Havinga (UT), dr. Filipe Serra Bragança (UU)

Grant funding agency and (co-)funding non-academic partners

Dutch Arthritis Society (Centre of Excellence Grant LLP22, UU), EFRO OP-Oost (Paardensprong project, UT)

Other partners

Inertia Technology B.V., University of Zurich Vetsuisse Faculty, SLU, KTH