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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...
Autores principales: | Brons, Annette, de Schipper, Antoine, Mironcika, Svetlana, Toussaint, Huub, Schouten, Ben, Bakkes, Sander, Kröse, Ben |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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Materias: | |
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 |
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