Automated human-level diagnosis of dysgraphia using a consumer tablet

@article{Asselborn2018AutomatedHD,
  title={Automated human-level diagnosis of dysgraphia using a consumer tablet},
  author={Thibault Asselborn and Thomas Gargot and Łukasz Kidziński and Wafa Johal and David Cohen and Caroline Jolly and Pierre Dillenbourg},
  journal={NPJ Digital Medicine},
  year={2018},
  volume={1}
}
The academic and behavioral progress of children is associated with the timely development of reading and writing skills. Dysgraphia, characterized as a handwriting learning disability, is usually associated with dyslexia, developmental coordination disorder (dyspraxia), or attention deficit disorder, which are all neuro-developmental disorders. Dysgraphia can seriously impair children in their everyday life and require therapeutic care. Early detection of handwriting difficulties is, therefore… Expand
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References

SHOWING 1-10 OF 40 REFERENCES
Identification and Rating of Developmental Dysgraphia by Handwriting Analysis
TLDR
This study proves that digital parameterization of pressure and altitude/tilt patterns in children with dysgraphia can be used for preliminary diagnosis of this writing disorder and estimation of difficulty level as determined by the handwriting proficiency screening questionnaire. Expand
Identifying Developmental Dysgraphia Characteristics Utilizing Handwriting Classification Methods
TLDR
A method for automatic identification and characterization of dysgraphia in third-grade children is described, based on analyzing the child's writing dynamics by sampling the pressure the pen exerts on the paper as well as the pen's position and orientation by using a standard digital writing pad. Expand
Developmental Dysgraphia and Motor Skills Disorders
  • R. Deuel
  • Psychology, Medicine
  • Journal of child neurology
  • 1995
TLDR
A subdivision of developmental dysgraphia based on spe­ cific symptoms will be suggested in this article, as well as a brief description of management methods that are appropriate for the different types of dys graphia. Expand
A Longitudinal Study on Dysgraphic Handwriting in Primary School
TLDR
In an epidemiological study, the scripts of 121 Dutch primary-school children were evaluated annually and it was found that the children with dysgraphic handwriting had lower fine-motor ability and, in the higher grades, showed less preference for a personal style. Expand
Handwriting development in grade 2 and grade 3 primary school children with normal, at risk, or dysgraphic characteristics.
TLDR
It was concluded that handwriting must be consistently dysgraphic before making any decisions about a diagnosis of dysgraphia or referral for therapy, and BeeryVMI was inappropriate as a screening instrument for handwriting problems. Expand
Fine motor deficiencies in children diagnosed as DCD based on poor grapho-motor ability.
TLDR
The analysis confirmed that serious handwriting problems are accompanied by fine motor deficits and it is suggested that in these children an enhanced level of neuromotor noise is compensated for by enhanced phasic stiffness of the limb system. Expand
Development, maturation and learning influence on handwriting kinematics.
TLDR
The analysis showed many changes of the considered parameters across the classes, as in the horizontal, curvilinear mean and peak velocities of components and strokes, with higher values in the last years of schooling and a parallel decrease in the number of strokes/letter. Expand
Handwriting development, competency, and intervention
TLDR
There is evidence to indicate that handwriting difficulties do not resolve without intervention and affect between 10 and 30% of school‐aged children. Expand
The in Air Phenomenon: Temporal and Spatial Correlates of the Handwriting Process
TLDR
A computerized digitizer system was used to examine the tendency of poor writers to pause while writing to suggest possible underlying perceptual-motor difficulties, which could be considered when planning effective handwriting interventions. Expand
Problems in Developing Functional Handwriting
TLDR
The development of handwriting quality and speed of 407 primary school children was followed from Grade 1 to Grade 5 in a longitudinal experiment to enquire into the extent and bases for handwriting dysfunction. Expand
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