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Internet of Toys for Measuring Development of Ball Handling Skills in Support of Childcare Workers

机译:玩具互联网,用于衡量支持托儿工人的球处理技巧的发展

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During childhood, play is important for promoting the mental and physical development of children. For this reason, those involved with childcare (guardians and childcare workers) need to create an environment suitable for child development and provide children with support and guidance. However, because there are unique elements to the development of each individual child, childcare workers caring for large numbers of children, and guardians in remote areas, may struggle to oversee the daily development of the children in their care. In this paper, we propose toys with built-in sensors are used to acquire motion data during play activities, and a system intended to aid in estimating the child development stage by creating a data visualization for childcare workers. To establish the proposed system, a ball-type device was created using a built-in acceleration sensor as a prototype of a toy with a built-in sensor. Using this prototype, we conducted an experiment to verify whether it is possible to discern five types of ball activities when focusing on changes in ball-throwing movements related to child development. As the results based on two types of learning algorithms (SVM and RF) indicate, in each case the activity could be identified with approximately 70% accuracy.
机译:在儿童时期,游戏对于促进儿童的身心发展很重要。因此,与儿童保育有关的人员(监护人和儿童保育人员)需要创造一个适合儿童成长的环境,并为儿童提供支持和指导。但是,由于每个孩子的成长都有其独特的元素,因此,照顾大量儿童的保育员以及偏远地区的监护人可能难以监督他们照料儿童的日常发展。在本文中,我们建议使用带有内置传感器的玩具来获取游戏活动期间的运动数据,以及一种旨在通过为托儿工作者创建数据可视化来帮助估计儿童发育阶段的系统。为了建立建议的系统,使用内置的加速度传感器作为带有内置传感器的玩具原型创建了球形设备。使用该原型,我们进行了一项实验,以验证当着重于与儿童发育有关的掷球运动的变化时,是否有可能辨别五种类型的球活动。由于基于两种学习算法(SVM和RF)的结果表明,在每种情况下,可以大约70%的准确性识别活动。

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