Resumen
Pre-writing skills are a set of essential skills to learn to write. Commonly, in South America’s public schools, a teacher has a class with approximately 30 or more students. As a result, the teacher has the challenging task to detect if a child has difficulties in pre-writing essential activities. In light of the above, in this paper, we present an analysis to determine the feasibility of using computer vision and data mining techniques to determine if a child fails to meet, meets few, or meets a pre-writing skill. We conducted the process with the open corpus “UPS-Writing-Skills,” containing the HU moments and the shape signature descriptors extracted from a collection of 358 images drawn by children.
Idioma original | Inglés |
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Título de la publicación alojada | Applied Informatics - 5th International Conference, ICAI 2022, Proceedings |
Editores | Hector Florez, Henry Gomez |
Editorial | Springer Science and Business Media Deutschland GmbH |
Páginas | 308-323 |
Número de páginas | 16 |
ISBN (versión impresa) | 9783031196461 |
DOI | |
Estado | Publicada - 2022 |
Evento | 5th International Conference on Applied Informatics, ICAI 2022 - Arequipa, Perú Duración: 27 oct. 2022 → 29 oct. 2022 |
Serie de la publicación
Nombre | Communications in Computer and Information Science |
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Volumen | 1643 CCIS |
ISSN (versión impresa) | 1865-0929 |
ISSN (versión digital) | 1865-0937 |
Conferencia
Conferencia | 5th International Conference on Applied Informatics, ICAI 2022 |
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País/Territorio | Perú |
Ciudad | Arequipa |
Período | 27/10/22 → 29/10/22 |
Nota bibliográfica
Publisher Copyright:© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.