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Roundness (handwriting)
The roundness or sharpness of handwriting patterns is caused by the phase of the horizontal and vertical pen-tip movements. The velocity signal components of these movements, which are virtually sinusoidal in shape, have a phase delay close to 90 degrees for very round handwriting. The correlation In statistics, correlation or dependence is any statistical relationship, whether causal or not, between two random variables or bivariate data. Although in the broadest sense, "correlation" may indicate any type of association, in statisti ... between Vx(t) and Vy(t) will be low. Sharp handwriting is characterized by a much higher correlation between the horizontal and vertical velocity signal, and a corresponding smaller phase delay. See also * Graphonomics References Penmanship {{calligraphy-stub ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Phase (waves)
In physics and mathematics, the phase of a periodic function F of some real variable t (such as time) is an angle-like quantity representing the fraction of the cycle covered up to t. It is denoted \phi(t) and expressed in such a scale that it varies by one full turn as the variable t goes through each period (and F(t) goes through each complete cycle). It may be measured in any angular unit such as degrees or radians, thus increasing by 360° or 2\pi as the variable t completes a full period. This convention is especially appropriate for a sinusoidal function, since its value at any argument t then can be expressed as \phi(t), the sine of the phase, multiplied by some factor (the amplitude of the sinusoid). (The cosine may be used instead of sine, depending on where one considers each period to start.) Usually, whole turns are ignored when expressing the phase; so that \phi(t) is also a periodic function, with the same period as F, that repeatedly scans the same range ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Correlation
In statistics, correlation or dependence is any statistical relationship, whether causal or not, between two random variables or bivariate data. Although in the broadest sense, "correlation" may indicate any type of association, in statistics it usually refers to the degree to which a pair of variables are '' linearly'' related. Familiar examples of dependent phenomena include the correlation between the height of parents and their offspring, and the correlation between the price of a good and the quantity the consumers are willing to purchase, as it is depicted in the so-called demand curve. Correlations are useful because they can indicate a predictive relationship that can be exploited in practice. For example, an electrical utility may produce less power on a mild day based on the correlation between electricity demand and weather. In this example, there is a causal relationship, because extreme weather causes people to use more electricity for heating or cooling. H ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Graphonomics
Graphonomics is the interdisciplinary field directed towards the scientific analysis of the handwriting process, product, and other graphic skills., Researchers in handwriting recognition, forensic handwriting examination, kinesiology, psychology, computer science, artificial intelligence, paleography and neuroscience cooperate in order to achieve a better understanding of the human skill of handwriting. Research in graphonomics generally involves handwriting movement analysis in one form or another. History and conferences The first international conference relating to graphonomics was held in Nijmegen, The Netherlands, in July 1982. The term 'graphonomics' was used there for the first time. The second conference was held in July 1985 in Hong Kong and, at that meeting, a decision was taken to form the International Graphonomics Society. The IGS became a legal non-profit organization under Netherlands law on January 30, 1987. Subsequently, an international conference, symp ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
