Abstract: A method for graphology-based assessment of a subject's personality traits is disclosed which involves graphological analysis of inferred handwriting features that are derived from the subject's presentation features. The method includes: obtaining presentation features of a subject; deriving inferred handwriting features of the subject from the presentation features according to pre-determined rules of correlation between the presentation features and the inferred handwriting features; and then performing graphological analysis on the inferred handwriting features so as to provide an assessment of the subject's personality traits. Presentation features can include a subject's general appearance, attire, body language, facial expression, and/or conversational style, for example. Handwriting features can include zonal sizes, connective forms, the handwriting's pressure, spacing, size, and slant, level of script, primary and secondary variables, and/or overall form level data.

Abstract: A method for personality assessment through analysis of handwriting is disclosed that provides a way to take into account the relative influence of personality traits indicated by different handwriting features, depending upon the type of handwriting features, and how strongly those features are expressed. The method improves the assessment of personality through handwriting analysis, by separating handwriting features into categories that highlight which aspects of the subject's personality are inherent and deeply-rooted versus changeable and superficial; as well as which aspects of the subject's personality are habitually expressed, versus non-habitually expressed. Handwriting features are separated into primary variables that represent more inherent aspects of the subject's personality, and secondary variables that represent less inherent aspects of the subject's personality.

Abstract: A method for enhanced graphological detection of deception is disclosed, including collecting handwritten answers to control questions and test questions from a subject. In certain embodiments of the invention, the collection of answers is accomplished with a handwriting tablet that can provide digital output. Next, the control input is analyzed so as to generate control handwriting feature data, and the test input is analyzed so as to generate test handwriting feature data. Next, test handwriting feature data resembling control handwriting feature data is designated to be non-deception-related, and test handwriting feature data not resembling control handwriting feature data is designated to be potentially deception-related. Finally, potentially deception-related test handwriting feature data is analyzed using graphological analysis, thereby identifying deception-related test handwriting data, and deception data is generated therefrom.