This thesis explores modelling and motion capture methods for kinematic analysis of the human upper limb within an applied sporting context. Traditional direct kinematic approaches for modelling the upper limb during an overhead sporting action were compared, identifying which was more reliable as well as issues with direct methods. Inverse kinematics was subsequently examined as a modelling alternative addressing many limitations of the direct approach, though still restricted to laboratory settings. Finally, a calibration and modelling method for use with wearable sensor systems (magnetic-inertial measurement units) was proposed and validated, facilitating in-field 3D kinematic analyses once sensor technology improves.
|Qualification||Doctor of Philosophy|
|Award date||1 Dec 2017|
|Publication status||Unpublished - 2017|