摘要
服装压力是评价服装穿着舒适性的重要指标。为提高服装压力舒适性的研究方法和手段,总结了服装压力常见的主、客观评价方法和装置,分别阐述了有限元、BP神经网络、脑电波、表面肌电(sEMG)信号的原理,以及在服装压力舒适性研究中的应用现状和特点,并证实了这些研究技术的可行性。同时,提出可测量面的压力、无线传感器的服装压力测试装置的开发和建立更精确的服装压力预测模型,展望了服装性能与人体机能的有机结合,以及AI技术和服装结合应用的发展趋势。
Clothing pressure is an important index in evaluating wearing comfort of clothing. In order to improve research methods of clothing pressure comfort, this paper summarized the common subjective and objective evaluation methods and devices for testing clothing pressure values, successively expounded the principle, application status and characteristics of the finite element, BP neural network, brain wave and sEMG in clothing pressure comfort study, and confirmed the feasibility of these research techniques. What’s more, it proposed the development of measuring surface pressure, the development of garment pressure testing devices with wireless sensors and the establishment of more accurate garment pressure prediction models. The organic combination of clothing performance and human body function, and the development trend of artificial intelligence technology and clothing combined application are expected.
作者
程宁波
吴志明
CHENG Ningbo;WU Zhiming(Engineering Research Center of Knitting,Ministry of Education,Jiangnan University,Wuxi 214122,China)
出处
《丝绸》
CAS
CSCD
北大核心
2019年第3期38-44,共7页
Journal of Silk
基金
国家自然科学基金项目(61602212)
国家轻工技术与工程一流学科自主课题资助项目(2018-28)
关键词
压力测试评价
有限元
BP神经网络
脑电波
表面肌电(sEMG)
evaluation of pressure testing
the finite element
BP neural network
brain wave
surface electromyography (sEMG)
