TL;DR: This book discusses motor theory in Handwriting Research, which led to the development and learning of Handwriting Behaviour and memory and Cognitive Processes in handwriting, and modelling and Analyses of handwriting.
Abstract: Sections: 1. Motor Theory in Handwriting Research. (4 papers). 2. Development and Learning of Handwriting Behaviour (4 papers). 3. Modelling and Analyses of Handwriting (6 papers). 4. Memory and Cognitive Processes in Handwriting (5 papers). 5. Neural Bases to Handwriting Research (3 papers). Appendices.
TL;DR: This paper outlines a family of models, derived from the Kinematic Theory of Human Movements, that can be used coherently, in the context of a multi-level representation paradigm, to analyze both the trajectory and the velocity of strokes with a progressive amount of detail.
TL;DR: A recent review of handwriting research in Literacy concluded that current curricula of handwriting education focus too much on writing style and neatness and neglect the aspect of handwriting automaticity as discussed by the authors.
Abstract: A recent review of handwriting research in Literacy concluded that current curricula of handwriting education focus too much on writing style and neatness and neglect the aspect of handwriting automaticity. This conclusion is supported by evidence in the field of graphonomic research, where a range of experiments have been used to investigate this issue from a movement perspective. The present article offers a brief introduction to a graphonomic approach to handwriting analysis and the findings of graphonomic research about handwriting automaticity. These findings indicate that attentional control to any characteristic of the writing process (e.g. direction, lexical status, movement, style) results in an impairment of handwriting automaticity. These findings support and add a new dimension to previous conclusions.
TL;DR: This study aims to identify preferred, basic graphic shapes corresponding to spontaneously stable combinations of the two frequency-locked oscillatory x-y components of the trajectories, which can be ascribed to the non-linear coupling of two oscillators.
TL;DR: The 16 articles in this special issue of Human Movement Science show that the field of graphonomics makes an important contribution to the understanding of fine motor control, motor development, and movement disorders.