Abstract:

The overall aim of this PhD is to investigate if the Danu system can be used to monitor biomechanical changes in gait and plyometrics to quantify performance outcomes by spatiotemporal and kinetic parameters across multiple movements that are dynamic and non-cyclical. This research will involve the development of machine learning models to accurately predict ground reaction forces and centre of pressure, across a series of movements and different footwear

Abstract:

The overall aim of this PhD will be to investigate if the Danu software and hardware system can be used to monitor biomechanical changes in gait when wearing the super spike shoes. By quantifying performance outcomes such as speed, ground contact time, flight time, ankle kinematics, the research can investigate what differentiates super spike shoes (SSS) from other running spikes, with a particular focus around how four components (in-shoe pressure, shoe bending stiffness, anthropometric foot and leg length, Meta-Tarsal Phalangeal Joint flexion) biomechanically change an athlete’s sprint profile.