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The download gives you all that you need to develop experiments in GetWrite and then markup you data in MarkWrite. It includes a full WinPython distribution (necessary to permit running of the programs, but also gives you the necessary tools to develop the program yourself). There is nothing to install. Just download, place in a sensible location to which you have write access, and click bat files in the root directory to run (e.g. MarkWriteApp.bat for MarkWrite).
The software requires 64 bit versions of Windows 7 or later and may run slowly on older or lower power machines. Capture requires devices that make use of the WinTab driver / API. This includes all Wacom devices, plus several others (see details here)
OpenHandWrite is a suite of programs designed to provide behavioural scientists with tools for capturing and analysing pen movement. These programs provide accurately-timed capture of pen movement data from digitising tablets and tablet PCs, and a markup and analysis tool that allows users to manually segment the pen trace into meaningful units (sentences, words, lines, strokes) and then computes by-segment summary statistics. OpenHandWrite comprises...
GetWrite - a Wintab interface for PsychoPy, and template experiments.
MarkWrite - a segmentation and analysis GUI.
OpenHandWrite is targeted particularly at researchers exploring the cognitive processes underlying written production, but could also be used to study drawing. It differs from existing solutions (Ductus, HandSpy, Eye and Pen) by bringing together the following features.
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Pen sample timing uses a parallel event-handeling technology (ioHub) that avoids quantising issues associated with windows swap and USB polling, therefore giving very accurate sample timing and more or less no sample skipping.
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Integration into an existing flexible and fully-featured experiment development environment ([PsychoPy] (http://www.psychopy.org/)).
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Capture of zero-pressure pen traces. These occur when the pen hovers above the tablet surface as in the case, for example, between words when producing continuous text.
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An approach to analysis based on identifying meaningful (typically linguistically meaningful) pen trace segments, rather than on locating and counting pen-lifts over a particular threshold duration ("pauses").
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Free and open source.
This version is being distributed for beta testing and use. It is open source and can be modified and distributed under the terms of the GNU General Public License. We think you'll find it useful, but it is distributed without any warranty and without even the implied warranty of merchantability (whatever that is) or fitness for purpose.
Coding by Sol Simpson. Design by Sol, Guido Nottbusch and Mark Torrance. Funding from the School of Social Sciences, Nottingham Trent University, UK and University of Potsdam, Germany.