运动中紧身运动服的多感官舒适数据采集设计与研究

IF 2.2 4区 工程技术 Q1 MATERIALS SCIENCE, TEXTILES Journal of Industrial Textiles Pub Date : 2024-05-24 DOI:10.1177/15280837241258371
Pengpeng Cheng, Xianyi Zeng, Pascal Bruniaux, Xuyuan Tao
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引用次数: 0

摘要

本研究旨在实现运动中服装舒适性的智能监测,为运动舒适性研究提供数据和技术支持,为运动服装舒适性优化提供有效的设计基础。针对智能穿戴在服装舒适性研究中的应用现状,本文主要介绍了运动中采集系统的构建,包括温度、湿度、压力数据采集装置、数据预处理、数据存储等,简称ATHPHD系统。在该采集系统的帮助下,现在可以首次对运动中的紧身衣进行压力、热量和湿度测试。它还可以无线传输数据。同时,为了验证采集系统的有效性,将采集系统(ATHPHD 系统)的测量数据与现有采集设备(AMI3037 压力测量系统、DS1923 按钮式温湿度记录仪)的测量数据进行了比较。结果表明,两种方法采集的数据没有明显差异,这证明了本文中采集系统的可靠性。该系统保证了在同一时间采集相同数量的温度、湿度和压力数据以及相应时间点的一致性,也为运动中人体舒适度的评估和预测模型的构建提供了相关数据支持。
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Design and research on multi-sensory comfort data acquiring of tight sportswear in motion
This study aims to achieve intelligent monitoring of clothing comfort in motion, providing data and technical assistance for the research of comfort in motion and an efficient design foundation for sportswear comfort optimization. In view of the present situation of smart wear used in clothing comfort research, this paper primarily presents the construction of an acquisition system in motion, including temperature, humidity, and pressure data acquisition device, data pre-processing, data storage, and so on, which was called the ATHPD system for short. With the help of this acquisition system, tights in motion may now be tested for pressure, heat, and humidity for the first time. It can also transmit data wirelessly. Meanwhile, in order to verify the effectiveness of the acquisition system, by comparing the measurement data of the acquisition system (ATHPD system) with the measurement data of existing acquisition equipment (AMI3037 pressure measurement system, DS1923 button temperature and humidity recorder). The findings demonstrate that there is no significant difference between the data collected by the two methods, which proves the reliability of the acquisition system in this paper. The system guarantees the same quantity of temperature, humidity, and pressure data to be gathered at the same time and the consistency of the corresponding time points and also provides relevant data support for the evaluation and prediction model construction of human comfort in motion.
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来源期刊
Journal of Industrial Textiles
Journal of Industrial Textiles MATERIALS SCIENCE, TEXTILES-
CiteScore
5.30
自引率
18.80%
发文量
165
审稿时长
2.3 months
期刊介绍: The Journal of Industrial Textiles is the only peer reviewed journal devoted exclusively to technology, processing, methodology, modelling and applications in technical textiles, nonwovens, coated and laminated fabrics, textile composites and nanofibers.
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