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Flexible Multimodal Sensors for Electronic Skin: Principle, Materials, Device, Array Architecture, and Data Acquisition Method

机译:用于电子皮肤的柔性多峰传感器:原理,材料,设备,阵列架构和数据采集方法

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摘要

Electronic skin (e-skin) is designed to mimic the comprehensive nature of human skin. Various advances in e-skin continue to drive the development of the multimodal tactile sensor technology on flexible and stretchable platforms. e-skin incorporates pressure, temperature, texture, photographic imaging, and other sensors as well as data acquisition and signal processing units formed on a soft substrate for humanoid robots, wearable devices, and health monitoring electronics that are the most critical applications of soft electronics. This artificial skin has developed very rapidly toward becoming real technology. However, the complex nature of e-skin technology presents significant challenges in terms of materials, devices, sophisticated integration methods, and interference-free data acquisition. These challenges range from functional materials, device architecture, pixel design, array structure, and data acquisition method to multimodal sensing performance with negligible interference. In this article, we present recent research trends and approaches in the field of flexible and stretchable multimodal sensors for e-skin focusing on the following aspects: 1) flexible and stretchable platforms; 2) operating principles and materials suitable for pressure, temperature, strain, photograph, and hairy sensor devices; 3) device and integration architectures, including multimodal single cells, three-axis tactile sensors, vertical-stacked sensor arrays, active matrix sensor arrays, and integration electronics; 4) reliable acquisition methods for various texture sensing and machine-learning algorithms for processing tactile sensing data; and 5) future outlook.
机译:电子皮肤(电子皮肤)旨在模仿人类皮肤的综合性质。电子皮肤的各种进步继续推动着在柔性和可伸展平台上的多模式触觉传感器技术的发展。电子皮肤将压力,温度,纹理,照片成像和其他传感器以及数据采集和信号处理单元结合在形成于人形机器人,可穿戴设备和健康监测电子设备的软基板上,这些是软电子设备最关键的应用。这种人造皮肤已迅速发展成为真正的技术。然而,电子皮肤技术的复杂性在材料,设备,复杂的集成方法和无干扰的数据采集方面提出了巨大的挑战。这些挑战包括功能材料,设备架构,像素设计,阵列结构和数据采集方法,以及具有可忽略的干扰的多模态传感性能。在本文中,我们介绍了针对电子皮肤的柔性和可拉伸多模态传感器领域的最新研究趋势和方法,重点是以下方面:1)柔性和可拉伸平台; 2)适用于压力,温度,应变,照片和有毛传感器装置的工作原理和材料; 3)设备和集成架构,包括多模式单电池,三轴触觉传感器,垂直堆叠传感器阵列,有源矩阵传感器阵列和集成电子设备; 4)用于各种纹理感测的可靠获取方法以及用于处理触觉感测数据的机器学习算法; 5)未来前景。

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