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    Title: Smart Hat: Design and Implementation of a Wearable Learning Device for Kids Using AI and IoTs Techniques
    Authors: Chang, I-Hsiung;Keh, Huan-Chao;Dande, Bhargavi;Roy, Diptendu Sinha
    Keywords: Artificial Intelligence (AI);Convolutional Neural Networks (CNN);Internet of Things (IoTs);OpenCV
    Date: 2020-03
    Issue Date: 2020-04-16 12:10:13 (UTC+8)
    Publisher: 台灣學術網路管理委員會
    Abstract: Internet of Things (IoT) and Artificial Intelligence (AI) have received much attention in recent years. Embedded with sensors and connected to the Internet, the IoT device can collect massive data and interact with a human. The data collected by IoT can be further analyzed by applying AI mechanisms for exploring the information behind the data and then have impacts on the interactions between human and things. This paper aims to design and implement a Smart Hat, which is a wearable device and majorly applies the IoT and AI technologies, aiming to help a kid for exploring knowledge in a manner of easy, active, and aggressive. The designed Smart Hat can identify objects in the outside environment and give output as an audio format, which adopts the IoT and AI technologies. The learning Smart Hat intends to help kids aid them in the primary learning task of identifying objects without the supervision of the third party (parents, teachers, others etc.,) in real life. This Smart Hat device provides a sophisticated technology to kids for easy, active, and aggressive learning in daily life. Performance studies show that the obtained results are promising and very satisfactory.
    Relation: Journal of Internet Technology 21(2), p.593-604
    DOI: 10.3966/160792642020032102026
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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