Date of creation: 24. 10. 2017
It is possible to download software here.
Objective analysis of subtle hand movements during drawing or writing exercises is one of the novel methods for quantification of hand-movement damage caused by the presence of some neurodegenerative disease such as Parkinson’s disease, or for monitoring of drawing/writing quality assessment of the children population (e.g. for the children dysgraphia assessment), etc. Digitizing tablet data capturing tool provides users with an easy way to capture the hand-related movements of so called digitizing stylus: on the surface (e.g. capturing pressure, azimuth, elevation, etc.) or off surface (e.g. rest-state tremor of hand) during drawing/writing exercises.
Generated data can be stored as *.csv files and consequently loaded/visualized by the tool. When the data are visualized, automatic stroke-segmentation is performed do segment the data to strokes on-surface and off-surface. It is also possible to set the automatic saving and deleting of the data. The tool is developed using Python programming language. A testing *.csv file is also provided for easy visualization and testing purposes. The tool is built on the wintab package, available here: cgkit (wintab). It is also developed to be modular and in the future it can be (it is planned to be) extended to provide captured signal analysis.
This work was supported by projects AZV 16-30805A and LO1401. The described research was performed in laboratories supported by the SIX project; the registration number CZ.1.05/2.1.00/03.0072, the operational program Research and Development for Innovation.