Parkinson’s Disease (PD) is the second most common neurodegenerative disease. Due to the complex nature of the disease, and the large number of features associated with it, a definitive diagnosis can often be elusive. The research, to be presented in following Chapters, proposes ways in which the current methods of PD assessment/monitoring could be made more objective. Specifically, two computer-based PD assessment/monitoring tools have been developed and evaluated. The first tool was developed to identify features of PD such as bradykinesia, akinesia and rigidity, through analysis of the data collected by the tool. Three different evaluations were carried out on this tool to determine its effectiveness. Evaluations one and two involved twenty participants, ten with PD and ten without PD. A total of ten people with PD took part in evaluation three. Differences were found in the time taken to use the tool, distance travelled whilst using the tool, speed of movement and the visual representation of the path taken, in each of the evaluations. The second PD assessment/monitoring tool also collected data on the user’s movement. This tool focused on differentiating between PD related tremor and Essential Tremor (ET). A wireless mouse, which can operate a computer whilst being held in mid air, was used to collect the tremor movements. An evaluation was carried out on this tool which involved four people with PD and four with ET. Each participant was asked to use the tool once and the data collected was then analysed. The results identified some subtle differences between the two forms of tremor. These differences could assist with confirming a diagnosis of ET or PD related tremor. The research presented in this thesis has the potential to improve upon the current methods of assessment/diagnosis of PD and help make the process more objective.