This paper is in the following e-collection/theme issue:

New Methods (944) Serious Games for Health and Medicine (683) Games and Gamification for Health (650) Machine Learning (1465) Games for Cognitive Assessment (61) Developmental Problems (47)

Published on in Vol 23, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24237, first published .
Assessing Children’s Fine Motor Skills With Sensor-Augmented Toys: Machine Learning Approach

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

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

Authors of this article:

Annette Brons1, 2 Author Orcid Image ;   Antoine de Schipper3 Author Orcid Image ;   Svetlana Mironcika4 Author Orcid Image ;   Huub Toussaint3 Author Orcid Image ;   Ben Schouten4, 5 Author Orcid Image ;   Sander Bakkes2 Author Orcid Image ;   Ben Kröse1, 6 Author Orcid Image
Article Authors Cited by (13) Tweetations (9) Metrics

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  1. Nucci L, Miraglia F, Alù F, Pappalettera C, Judica E, Manenti R, Rossini P, Vecchio F. Reaction time and cognitive strategies: The role of education in task performance. Learning and Motivation 2023;82:101884 View
  2. Huang Y, Xie C, Chou C, Jin Y, Li W, Wang M, Lu Y, Liu Z. Subtyping intractable functional constipation in children using clinical and laboratory data in a classification model. Frontiers in Pediatrics 2023;11 View
  3. Bošnjaković N, Đurđević Babić I. Systematic Review on Educational Data Mining in Educational Gamification. Technology, Knowledge and Learning 2023 View
  4. Chun S, Jang S, Kim J, Ko C, Lee J, Hong J, Park Y. Comprehensive Assessment and Early Prediction of Gross Motor Performance in Toddlers With Graph Convolutional Networks–Based Deep Learning: Development and Validation Study. JMIR Formative Research 2024;8:e51996 View
  5. Gkintoni E, Vantaraki F, Skoulidi C, Anastassopoulos P, Vantarakis A. Promoting Physical and Mental Health among Children and Adolescents via Gamification—A Conceptual Systematic Review. Behavioral Sciences 2024;14(2):102 View
  6. Bisi M, Stagni R. Sensor-Based Quantitative Assessment of Children’s Fine Motor Competence: An Instrumented Version of the Placing Bricks Test. Sensors 2024;24(7):2192 View
  7. Göker H. Elektroensefalografi (EEG) sinyallerinin güç spektral yoğunlukları kullanılarak gelişimsel koordinasyon bozukluğunun derin öğrenme modeli ile otomatik tespiti. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi 2024 View
  8. Kearson L, Dandar C, Hoyt C, Longoria J, Okhomina V, Raches D, Potter B, Kang G, Hankins J, Takemoto C, Heitzer A. Prediction of Functional Academic Outcomes by Fine Motor Skills in Individuals With Sickle Cell Disease. The American Journal of Occupational Therapy 2024;78(5) View
  9. Mia M, Ahamed S, Nemanich S. Gamified mHealth System for Evaluating Upper Limb Motor Performance in Children: A Feasibility Study (Preprint). JMIR Serious Games 2024 View

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