Intelligent internet of things induced preschool education assistance system

Hong Zhao
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Abstract

With the rapid development of AI technology, how to construct smart learning environment has become a hot topic in education. However, most of existing studies focus on the higher education. It is still an open issue to establish smart learning environment in kindergartens for preschool education. In order to solve this issue, this paper designs an intelligent classroom education perception system to assist preschool education. The system end‐edge‐cloud collaboration structure. The end node captures videos of children in the classroom and send the collected videos to edge node. The edge node contains a NVIDIA® Jetson™ TX2 in which an AI module is deployed. The AI module adopts end‐to‐end architecture, which contains four parts: human detector, symmetric spatial transformation network module, non‐maximum suppression module, and a spatial temporal graph convolutional network module. Compared with previous works, the proposed scheme considers both spatial information and temporal information of skeletal key points. The experimental results show that the proposed smart preschool education assistance system can help teachers to recognize most of common preschool children activities during classroom.
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智能物联网诱导学前教育辅助系统
随着人工智能技术的飞速发展,如何构建智能学习环境已成为教育领域的热门话题。然而,现有的研究大多集中在高等教育领域。在幼儿园建立智能学习环境,开展学前教育,仍是一个有待解决的问题。为解决这一问题,本文设计了一种辅助学前教育的智慧课堂教育感知系统。该系统端-边-云协同结构。终端节点采集教室里孩子们的视频,并将采集到的视频发送到边缘节点。边缘节点包含一个 NVIDIA® Jetson™ TX2,其中部署了一个人工智能模块。人工智能模块采用端到端架构,包含四个部分:人体检测器、对称空间变换网络模块、非最大化抑制模块和时空图卷积网络模块。与之前的研究相比,所提出的方案同时考虑了骨骼关键点的空间信息和时间信息。实验结果表明,所提出的智能学前教育辅助系统可以帮助教师识别大多数常见的学前儿童课堂活动。
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