用于控制阿凡达面部微表情的高灵敏度自组装纳米粒子电子皮肤传感器

IF 6.4 3区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Advanced Materials Technologies Pub Date : 2024-05-30 DOI:10.1002/admt.202302211
Jianfei Wang, Jiao Suo, Hongyu Zhang, Mingyan Gao, Ri Liu, Liang Cao, Keer Wang, Roy Vellaisamy, Kremena Makasheva, Xinge Yu, Shan Cecilia Cao, Wen Jung Li, Zuobin Wang
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引用次数: 0

摘要

金纳米粒子(AuNPs)具有独特的电学、机械和表面特性,为传感器技术开辟了新的可能性。特别是由配体稳定的 AuNPs 构建的导电薄膜,由于具有高表面积、优异的导电性和生物相容性,被认为是一种理想的传感平台。然而,制作灵敏度极佳的导电 AuNPs 薄膜传感器的大多数方法都需要昂贵的设备。在这项工作中,利用低成本的逐层自组装(LBL-SA)方法,在柔性聚酯基底上开发了一种由 AuNPs 和聚(烯丙基胺盐酸盐)(PAH)组成的创新型电阻应变传感器,该传感器基于正负电荷的相互吸附。AuNPs/PAH 在低温下的电导变化与电荷传输的阿伦尼乌斯式激活相吻合。此外,实验表明,当传感器薄膜上施加 1%应变时,传感器的最大量规因子为 ≈656。这项研究表明,传感器可以检测身体运动、眼球运动和面部微表情。在检测眼球运动和面部微表情时,宏观再现率可达 91.5% 和 98.8%。同时,该传感器还能控制虚拟化身在 VR 中的眼球运动和人的面部微表情。因此,基于纳米粒子的传感器未来可广泛应用于医疗保健和人机交互领域。
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A Highly Sensitive Self-Assembled-Nanoparticles e-Skin Sensor for Controlling Avatar Facial Micro-Expressions

With their unique electrical, mechanical, and surface properties, gold nanoparticles (AuNPs) open up new possibilities for sensor technology. In particular, conductive thin films constructed from ligand-stabilized AuNPs are considered an ideal sensing platform due to their high surface area, excellent conductivity, and biocompatibility. However, most methods for making conductive AuNPs thin-film sensors with excellent sensitivity require expensive equipment. In this work, an innovative resistive strain sensor consisting of AuNPs and poly (allylamine hydrochloride) (PAH) based on the mutual adsorption of positive and negative charges using a low-cost layer-by-layer self-assembly (LBL-SA) approach on a flexible polyester substrate is developed. The conductance changes at low temperatures of the AuNPs/PAH agree with the Arrhenius-type activation of charge transport. Additionally, the maximum gauge factor of the sensor is shown experimentally to be ≈656 when 1% strain is applied to the sensor film. This work demonstrates that the sensor detects body motions, eyeball movements, and facial micro-expressions. For detecting eyeball movements and facial micro-expressions, the macro-recall can reach 91.5% and 98.8%. Simultaneously, the sensor can control the virtual avatar's eye movements and human facial micro-expressions in VR. Therefore, nanoparticle-based sensors can be extensively used in future applications related to healthcare and human-computer interaction.

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来源期刊
Advanced Materials Technologies
Advanced Materials Technologies Materials Science-General Materials Science
CiteScore
10.20
自引率
4.40%
发文量
566
期刊介绍: Advanced Materials Technologies Advanced Materials Technologies is the new home for all technology-related materials applications research, with particular focus on advanced device design, fabrication and integration, as well as new technologies based on novel materials. It bridges the gap between fundamental laboratory research and industry.
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