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Previous studies using digital pens to analyse handwriting have tended to deal with whole pages of writing or individual characters that are captured within single frames or boxes. English cursive script does not lend itself to this type of analysis. Words and individual letters vary enormously; adult handwriting has a personal style that is not easily captured by single letter or word recognition. This paper illustrates how handwriting data captured from 46 university students (22 students with dyslexia; 24 students with no known difficulties) using digital pens was successfully interpreted using newly developed software. The system has a database that holds the xml data collected from each digital pen. This data not only consists of the times for each stroke but also the pauses plus the visual pattern of each person's cursive handwriting. The latter can be broken up into script fragments for tagging and analysis. The ability to capture handwriting in this way has the potential to offer teachers a method for evaluating not only the speed of students' handwriting, but also to gather the pauses between words and characters. This paper illustrates how the system has shown that a group of dyslexic students not only had slower handwriting speeds but also longer pauses when copying, writing from memory and during creative writing.
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