Mathematical Modelling of Counteracting Gait Asymmetries in Human Locomotion

This proposed project aims to develop a control model that can counteract gait asymmetries in human walking. Gait asymmetries can arise in two different scenarios. It can be introduced from the environment, such as uneven terrain or strong winds, that would cause the body to need to adjust its motion to stay balanced. It can also be introduced via an imbalance in muscle strength or weight. The first scenario is applicable to robotics, as more advanced robots strive to be able to manoeuvre in various environments. The second scenario is more applicable to healthcare, as it involves our internal body composition that can be affected by a wide range of diseases/disorders. Having a model that can counteract gait asymmetries will be beneficial for future research in the field as well and build on the current research that has already been done. The findings of this project can contribute to the design of walking assistance devices and prosthetics to improve fall prevention in elderly walking strategies as well as more sophisticated humanoid robots.

Faculty Supervisor:

Arthur Chan

Student:

Partner:

Osaka University

Discipline:

Engineering

Sector:

Education

University:

University of Toronto

Program: