Individual sport shoe recommendation through machine learning

Project leader: Björn Eskofier
Project members:
Start date: 1. January 2021
End date:
Funding source: adidas AG

Abstract

Even though sport shoe models can differ in properties (fit, cushioning, bending stiffness etc.) the products come out of mass production and are made for generic groups of athletes. Humans are highly individual and research has shown that athletes are responding individually to certain shoe characteristics. Goal of this research is to create predictions for individual athletes to benefit from the right choice of shoes - be it through increased comfort, better performance or injury prevention.