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Scientometric Analysis of Research in Smart Clothing: State of the Art and Future Direction

机译:智能服装研究的科学计量:艺术状态和未来方向

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The purposes of this study were to investigate research trends on smart textile and clothing and to suggest future research directions on smart textile and clothing by using scientometrics approach. The research of smart clothing was divided into five categories: technology, human factors, application, manufacturing, and consumer demands and retailing. Technology emerged as the dominant category suggesting technological development of smart materials and wearable input devices have been intensively studied and have provided a solid foundation for smart clothing research. The number of research on output devices and data and power transportation showed a gradually increasing trend since 2000. Analysis on technical collaboration among each research field showed a high correlation between input technology and the three main categories: smart materials, functional application and, manufacturing. Material sciences, electronic engineering and computer sciences were shown to be major research disciplines to lead smart clothing research based on quantity of publications.
机译:本研究的目的是调查智能纺织品和服装的研究趋势,并通过使用科学方法方法来指示未来的智能纺织和衣服的研究方向。智能服装的研究分为五类:技术,人类因素,应用,制造和消费者需求和零售。作为智能材料和可穿戴输入装置的技术开发的主导类别的技术已经集中研究,并为智能服装研究提供了坚实的基础。自2000年以来,输出设备和数据和数据和电力运输的研究数量逐渐增加趋势。每个研究领域的技术合作分析表明输入技术与三个主要类别之间的高相关:智能材料,功能应用和制造。物质科学,电子工程和计算机科学被证明是基于出版物数量引领智能服装研究的主要研究学科。

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