Multi-Criteria Handwriting Quality Analysis with Online Fuzzy Models

Abstract : IntuiScript is an innovative project aiming at the development of a digital workbook providing feedback during the handwriting learning process for children from three to seven years old. In this context, the paper presents a method to analyse handwriting quality that responds to the expectations of the IntuiScript educational scenario: on-line and real time feedback for children, an automatic detection of children mistakes guiding the pedagogical progression, and a precise analysis of children writing saved to help teacher to understand children writing skills. The presented method introduces a multi-criteria architecture to analyse handwriting quality based on three different aspects: shape, order and direction. The validation of the proposed approach is done on a realistic dataset collected in preschools and primary schools with 952 children. Results show a positive feedback of children and teachers about the use of tactile digital devices, and a significant improvement of the performances of the multi-criteria architecture compared to the previous analyser. The ground truth has been annotated by experts with different levels of confidence. Specific evaluation metrics are introduced to deal with confidence annotations.
Type de document :
Article dans une revue
Pattern Recognition, Elsevier, 2017, 〈10.1016/j.patcog.2017.04.003〉
Liste complète des métadonnées

Littérature citée [22 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01515397
Contributeur : Damien Simonnet <>
Soumis le : jeudi 27 avril 2017 - 14:19:17
Dernière modification le : mercredi 16 mai 2018 - 11:23:35
Document(s) archivé(s) le : vendredi 28 juillet 2017 - 13:01:17

Fichier

PR-3.1.0.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Citation

Damien Simonnet, Eric Anquetil, Manuel Bouillon. Multi-Criteria Handwriting Quality Analysis with Online Fuzzy Models. Pattern Recognition, Elsevier, 2017, 〈10.1016/j.patcog.2017.04.003〉. 〈hal-01515397〉

Partager

Métriques

Consultations de la notice

456

Téléchargements de fichiers

218