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.