Meta-Analyzing the Writing Process of Structural Language to Develop New Writing Analysis Elements

As the basis of communication, a writer is often identified through their handwriting characteristics. In clinical practice, static elements of handwriting are evaluated and scored, which might be used for subjective judgment in health situations. By investigating the dynamic information in space when writing Hangul, in this study, we present how to analyze Hangul writing characteristics and build new writing analysis elements in the structural language. The ample characters included 14 consonants and 10 vowels. The cloud of line distribution (COLD) method was used to visualize on-stroke characteristics when writing each character. If the written character showed a straight line (the angle of the letter being 0), the feature distribution appeared on the x-axis of the polar domain. If the written character had many kinks (the angle of the letter being −90 or 90), the feature distribution appeared on the polar domain’s y-axis. In-air movement was visualized using principal component analysis (PCA), and typical in-air movement had an annular shape, which might be used as a new element in handwriting analysis. This study shows the possibility of using such a tool for the writing analysis of structural languages.