Individual sport shoe recommendation through machine learning
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.
