Assessing Children’s Fine Motor Skills With Sensor-Augmented Toys: Machine Learning Approach

BACKGROUND: Approximately 5%-10% of elementary school children show delayed development of fine motor skills. To address these problems, detection is required. Current assessment tools are time-consuming, require a trained supervisor, and are not motivating for children. Sensor-augmented toys and ma...

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Detalles Bibliográficos
Autores principales: Brons, Annette, de Schipper, Antoine, Mironcika, Svetlana, Toussaint, Huub, Schouten, Ben, Bakkes, Sander, Kröse, Ben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103293/
https://www.ncbi.nlm.nih.gov/pubmed/33885371
http://dx.doi.org/10.2196/24237

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103293/
https://www.ncbi.nlm.nih.gov/pubmed/33885371
http://dx.doi.org/10.2196/24237

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