Literature DB >> 17023083

A multi-level representation paradigm for handwriting stroke generation.

Réjean Plamondon1, Moussa Djioua.   

Abstract

The study of rapid strokes is a direct or indirect prerequisite in many fundamental research projects, as well as in the design of many practical applications dealing with handwriting. This paper outlines a family of models, derived from the Kinematic Theory of Human Movements. It explains how the nested models in this family 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. In the context of a comprehensive survey of previously published work, this paper highlights many new features of stroke production, when the vectorial version of the theory is fully exploited. In this perspective, the Kinematic Theory is depicted as a potential tool to facilitate communications among researchers working in the multi-disciplinary field of Graphonomics.

Entities:  

Mesh:

Year:  2006        PMID: 17023083     DOI: 10.1016/j.humov.2006.07.004

Source DB:  PubMed          Journal:  Hum Mov Sci        ISSN: 0167-9457            Impact factor:   2.161


  4 in total

1.  The lognormal handwriter: learning, performing, and declining.

Authors:  Réjean Plamondon; Christian O'Reilly; Céline Rémi; Thérésa Duval
Journal:  Front Psychol       Date:  2013-12-19

2.  Central and Peripheral Shoulder Fatigue Pre-screening Using the Sigma-Lognormal Model: A Proof of Concept.

Authors:  Anaïs Laurent; Réjean Plamondon; Mickael Begon
Journal:  Front Hum Neurosci       Date:  2020-05-19       Impact factor: 3.169

3.  Linking brain stroke risk factors to human movement features for the development of preventive tools.

Authors:  Christian O'Reilly; Réjean Plamondon; Louise-Hélène Lebrun
Journal:  Front Aging Neurosci       Date:  2014-07-08       Impact factor: 5.750

4.  The computational analyses of handwriting in individuals with psychopathic personality disorder.

Authors:  Barbara Gawda
Journal:  PLoS One       Date:  2019-12-23       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.