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Traditionally, a pen and paper test called the BHK test (Concise Evaluation Scale for Children\u2019s Handwriting) is used to assess children\u2019s handwriting in French-speaking countries. Any child with a BHK score above a certain threshold is diagnosed as \u2018dysgraphic\u2019, meaning that they are then eligible for financial coverage for therapeutic support. We previously developed a version of the BHK for tablet computers which provides rich data on the dynamics of writing (acceleration, pressure, and so forth). The underlying model was trained on dysgraphic and non-dysgraphic children. In this contribution, we deviate from the original BHK for three reasons. First, in this instance, we are interested not in a binary output but rather a scale of handwriting difficulties, from the lightest cases to the most severe. Therefore, we wish to compute how far a child\u2019s score is from the average score of children of the same age and gender. Second, our model analyses dynamic features that are not accessible on paper; hence, the BHK is useful in this instance. Using the PCA (Principal Component Analysis) reduced the set of 53 handwriting features to three dimensions that are independent of the BHK. Nonetheless, we double-checked that, when clustering our data set along any of these three axes, we accurately detected dysgraphic children. Third, dysgraphia is an umbrella concept that embraces a broad variety of handwriting difficulties. Two children with the same global score can have totally different types of handwriting difficulties. For instance, one child could apply uneven pen pressure while another one could have trouble controlling their writing speed. Our new test not only provides a global score, but it also includes four specific score for kinematics, pressure, pen tilt and static features (letter shape). Replacing a global score with a more detailed profile enables the selection of remediation games that are very specific to each profile.<\/jats:p>","DOI":"10.1038\/s41598-020-60011-8","type":"journal-article","created":{"date-parts":[[2020,2,21]],"date-time":"2020-02-21T11:03:29Z","timestamp":1582283009000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":94,"title":["Extending the Spectrum of Dysgraphia: A Data Driven Strategy to Estimate Handwriting Quality"],"prefix":"10.1038","volume":"10","author":[{"given":"Thibault","family":"Asselborn","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mateo","family":"Chapatte","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pierre","family":"Dillenbourg","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,2,21]]},"reference":[{"key":"60011_CR1","doi-asserted-by":"publisher","first-page":"781","DOI":"10.1037\/0022-0663.82.4.781","volume":"82","author":"S Graham","year":"1990","unstructured":"Graham, S. 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