Development of a Pre-Diagnosis Tool Based on Machine Learning Algorithms on the BHK Test to Improve the Diagnosis of Dysgraphia. - Louis Deschamps; Louis Devillaine; Clement Gaffet; Raphaël Lambert; Saifeddine Aloui; Jérôme Boutet; Vincent Brault; Etienne Labyt; Caroline Jolly (Adv. Artif. Intell. Mach. Learn., 2021)

Analysis of Graphomotor Tests with Machine Learning Algorithms for an Early and Universal Pre-Diagnosis of Dysgraphia. - Louis Devillaine; Raphaël Lambert; Jérôme Boutet; Saifeddine Aloui; Vincent Brault; Caroline Jolly; Etienne Labyt (Sensors, 2021)

Analysis of Eye Movements in Children with Developmental Coordination Disorder During a Handwriting Copy Task. - Raphaël Lambert; Jérôme Boutet; Etienne Labyt; Caroline Jolly (IGS, 2023)

Apports de l'analyse conjointe des paramètres cinématiques de l'écriture, de l'activité cérébrale et oculométrique dans des modèles supervisés pour l'aide au diagnostic de la dysgraphie chez l'enfant. (Benefits of the concomittant analysis of handwriting kinematic parameters, cerebral and ocular activities in supervised models for the diagnosis of dysgraphia in children). - Raphaël Lambert (2024)