Investigating the use of force sensing insoles for understanding running efficiency and power

This work will examine a novel “smart” insole that allows for the quantification of specialized running metrics and will compare the outputs with the gold-standard measure of metabolic work. The insoles work by collecting pressure data from many sensors embedded in the insole, and sending this to an phone app. We are comparing the insoles and their ability to model running power and economy both in the lab and in field conditions where factors that affect the work of running will change. This includes factors such as the running surface, grade, and external resistance. This work will help the company test and improve their predictive algorithms, leading to product improvements and potentially new markets in the fitness and running world.

Faculty Supervisor:

Jamie Burr

Student:

Partner:

Kinetyx

Discipline:

Life Sciences

Sector:

Arts, entertainment and recreation; Manufacturing

University:

University of Guelph

Program: