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Zhaoling Li Miaomiao Zhu Jiali Shen Qian Qiu Jianyong Yu Bin Ding 《Advanced functional materials》2020,30(6)
With the rapid advancement in artificial intelligence, wearable electronic skins have attracted substantial attention. However, the fabrication of such devices with high elasticity and breathability is still a challenge and highly desired. Here, a route to develop an all‐fiber structured electronic skin with a scalable electrospinning fabrication technique is reported. The fabricated electronic skin is demonstrated to exhibit high pressure sensing with a sensitivity of 0.18 V kPa?1 in the detection range of 0–175 kPa. This wearable device could maintain prominent sensing performance and mechanical stability in the presence of large deformation, even when the elastic deformation is up to 50%. The electronic skin is easily conformable on different desired objects for real‐time spatial mapping and long‐term tactile sensing. Besides, it possesses high gas permeability with a water vapor transmittance rate of 10.26 kg m?2 d?1. More importantly, the electronic skin is capable of working in a self‐powered manner and even serves as a reliable power source to effectively drive small electronics. Possessing several compelling features, such as high sensitivity, high elasticity, high breathability as well as being self‐powered and scalable in fabrication, the presented device paves a pathway for smart electronic skins. 相似文献
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Jinwoo Lee Heayoun Sul Yeongju Jung Hyeonseok Kim Seonggeun Han Joonhwa Choi Jaeho Shin Dongkwan Kim Jinwook Jung Sukjoon Hong Seung Hwan Ko 《Advanced functional materials》2020,30(36)
Cephalopods’ extraordinary ability to hide into any background has inspired researchers to reproduce the intriguing ability to readily camouflage in the infrared (IR) and visible spectrum but this still remains as a conundrum. In this study, a multispectral imperceptible skin that enables human skin to actively blend into the background both in the IR‐visible integrated spectrum only by simple temperature control with a flexible bi‐functional device (active cooling and heating) is developed. The thermochromic layer on the outer surface of the device, which produces various colors based on device surface temperature, expands the cloaking range to the visible spectrum (thus visible‐to‐IR) and ultimately completes day‐and‐night stealth platform simply by controlling device temperature. In addition, the scalable pixelization of the device allows localized control of each autonomous pixel, enabling the artificial skin surface to adapt to the background of the sophisticated pattern with higher resolution and eventually heightening the level of imperceptibility. As this proof‐of‐concept can be directly worn and conceals the human skin in multispectral ranges, the work is expected to contribute to the development of next‐generation soft covert military wearables and perhaps a multispectral cloak that belongs to cephalopods or futuristic camouflage gadgets in the movies. 相似文献
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一种新的基于直接最小二乘椭圆拟合的肤色检测方法 总被引:1,自引:0,他引:1
肤色检测是计算机视觉中的一个重要问题,本文提出了一种新的基于直接最小二乘椭圆拟合的肤色检测方法,其基本思想是根据肤色样本分布区域的边界数据点采用曲线拟合的方法得到肤色分布区域的边界方程。在实现时,为了解决直接在笛卡儿坐标系中提取肤色样本分布区域边界数据的困难,算法采用了一种新的解决思路,即首先把训练肤色样本在色度空间的统计分布转化为图像的形式,然后再利用边缘检测方法得到肤色分布区域的边界数据。根据所得的边界数据点用直接最小二乘椭圆拟合方法便可得到肤色分布区域的椭圆边界,方法简单直观。实践表明,该算法能完成对各种不同环境条件下所拍摄图像的肤色分割,效果理想,其性能明显优于常用的域值界定法和单高斯模型法。 相似文献
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基于图像内容及底层特征的敏感图像检测方法 总被引:1,自引:0,他引:1
内容安全是信息安全领域中的一个新兴且重要的研究方向.敏感图像分析与监控是该方向的一个重要研究分支,近年来愈来愈受到关注.然而,由于其研究起步较晚且图像本身所具有的复杂多样性,相对来说,目前已有的研究成果还比较少且性能上也有待于进一步提升,为此,本文提出了一种新的敏感图像分析检测方法.该方法从基于图像内容分析和基于图像底层特征分析两个方面进行综合分析检测,在基于内容分析方面,通过分析图像是否含有大量的皮肤区域来初步检测敏感图像;在基于图像底层特征分析方面,通过颜色直方图矢量和颜色聚合矢量提取图像的颜色及空间信息,并在此基础上利用SVM进行分类,从而实现敏感图像的初步检测;最后,对上述两方面的初步检测结果进行综合判决,实现敏感图像的最终检测.仿真实验结果出示了该新方法的有效性. 相似文献
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Double‐Twisted Conductive Smart Threads Comprising a Homogeneously and a Gradient‐Coated Thread for Multidimensional Flexible Pressure‐Sensing Devices 下载免费PDF全文
Fiber‐based, flexible pressure‐sensing systems have attracted attention recently due to their promising application as electronic skins. Here, a new kind of flexible pressure‐sensing device based on a polydimethylsiloxane membrane instrumented with double‐twisted smart threads (DTSTs) is reported. DTSTs are made of two conductive threads obtained by coating cotton threads with carbon nanotubes. One thread is coated with a homogeneous thickness of single‐walled carbon nanotubes (SWCNTs) to detect the intensity of an applied load and the other is coated with a graded thickness of SWCNTs to identify the position of the load along the thread. The mechanism and capacity of DTSTs to accurately sense an applied load are systematically analyzed. Results demonstrate that the fabricated 1D, 2D, and 3D sensing devices can be used to predict both the intensity and the position of an applied load. The sensors feature high sensitivity (between ≈0.1% and 1.56% kPa) and tunable resolution, good cycling resilience (>104 cycles), and a short response time (minimum 2.5 Hz). The presented strategy is a viable alternative for the design of simple, low‐cost pressure sensors. 相似文献