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

Autor: Brons, Annette, de Schipper, Antoine, Mironcika, Svetlana, Toussaint, Huub, Schouten, Ben, Bakkes, Sander, Kröse, Ben

Publikováno v: Journal of Medical Internet Research, Vol 23, Iss 4, p e24237 (2021)

BackgroundApproximately 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 motiv

Externí odkaz: https://doaj.org/article/8e70b34374d740e2a5957715e4ef140a

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Detecting delays in motor skill development of children through data analysis of a smart play device

Autor: Sander, Jörg, de Schipper, Antoine, Brons, Annette, Mironcika, Svetlana, Toussaint, Huub, Schouten, Ben, Kröse, Ben, Oliver, Nuria

Publikováno v: Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, 88-92
STARTPAGE=88;ENDPAGE=92;TITLE=Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare

This paper describes experiments with a game device that was used for early detection of delays in motor skill development in primary school children. Children play a game by bi-manual manipulation of the device which continuously collects ac- celero

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::8bbf4f120fcc850d050ffd58b2e16e03
https://research.hva.nl/en/publications/302f3f6c-d2ab-4925-985f-c6e1ff8f8ecf