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

Annette Brons   1, 2 , MSc ;   Antoine de Schipper   3 , MSc ;   Svetlana Mironcika   4 , MSc ;   Huub Toussaint   3 , PhD ;   Ben Schouten   4, 5 , PhD ;   Sander Bakkes   2 , PhD ;   Ben Kröse   1, 6 , PhD

1 Digital Life Center, Amsterdam University of Applied Sciences, Amsterdam, Netherlands

2 Department of Information and Computing Sciences, Utrecht University, Utrecht, Netherlands

3 Academy for Physical Education, Amsterdam University of Applied Sciences, Amsterdam, Netherlands

4 Play and Civic Media, Amsterdam University of Applied Sciences, Amsterdam, Netherlands

5 Department of Industrial Design, Eindhoven University of Technology, Eindhoven, Netherlands

6 Department of Computer Science, University of Amsterdam, Amsterdam, Netherlands

Corresponding Author:

  • Annette Brons, MSc
  • Digital Life Center
  • Amsterdam University of Applied Sciences
  • Wibautstraat 2-4
  • Amsterdam, 1091 GM
  • Netherlands
  • Phone: 31 621156976
  • Email: a.e.brons@hva.nl