Biometric-Tuned E-Skin Sensor with Real Fingerprints Provides Insights on Tactile Perception: Rosa Parks Had Better Surface Vibrational Sensation than Richard Nixon.

IF 14.3 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY Advanced Science Pub Date : 2024-07-10 DOI:10.1002/advs.202400234
Senlin Hou, Qingyun Huang, Hongyu Zhang, Qingjiu Chen, Cong Wu, Mengge Wu, Chen Meng, Kuanming Yao, Xinge Yu, Vellaisamy A L Roy, Walid Daoud, Jianping Wang, Wen Jung Li
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Abstract

The dense mechanoreceptors in human fingertips enable texture discrimination. Recent advances in flexible electronics have created tactile sensors that effectively replicate slowly adapting (SA) and rapidly adapting (RA) mechanoreceptors. However, the influence of dermatoglyphic structures on tactile signal transmission, such as the effect of fingerprint ridge filtering on friction-induced vibration frequencies, remains unexplored. A novel multi-layer flexible sensor with an artificially synthesized skin surface capable of replicating arbitrary fingerprints is developed. This sensor simultaneously detects pressure (SA response) and vibration (RA response), enabling texture recognition. Fingerprint ridge patterns from notable historical figures - Rosa Parks, Richard Nixon, Martin Luther King Jr., and Ronald Reagan - are fabricated on the sensor surface. Vibration frequency responses to assorted fabric textures are measured and compared between fingerprint replicas. Results demonstrate that fingerprint topography substantially impacts skin-surface vibrational transmission. Specifically, Parks' fingerprint structure conveyed higher frequencies more clearly than those of Nixon, King, or Reagan. This work suggests individual fingerprint ridge morphological variation influences tactile perception and can confer adaptive advantages for fine texture discrimination. The flexible bioinspired sensor provides new insights into human vibrotactile processing by modeling fingerprint-filtered mechanical signals at the finger-object interface.

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采用真实指纹的生物识别调谐电子皮肤传感器提供触觉感知方面的见解:罗莎-帕克斯的表面振动感觉比理查德-尼克松更好。
人类指尖上密集的机械感受器能够辨别纹理。柔性电子技术的最新进展创造出了触觉传感器,可有效复制慢速适应(SA)和快速适应(RA)机械感受器。然而,皮纹结构对触觉信号传输的影响,如指纹脊过滤对摩擦引起的振动频率的影响,仍有待探索。我们开发了一种新型多层柔性传感器,其人工合成的皮肤表面能够复制任意指纹。这种传感器可同时检测压力(SA 响应)和振动(RA 响应),从而实现纹理识别。在传感器表面制作了著名历史人物--罗莎-帕克斯、理查德-尼克松、小马丁-路德-金和罗纳德-里根--的指纹脊图案。对各种织物纹理的振动频率响应进行测量,并在指纹复制品之间进行比较。结果表明,指纹形貌对皮肤表面的振动传输有很大影响。具体来说,与尼克松、金或里根的指纹相比,帕克斯的指纹结构能更清晰地传递更高的频率。这项研究表明,个体指纹脊形态的变化会影响触觉感知,并能赋予精细纹理识别的适应性优势。灵活的生物启发式传感器通过对手指-物体界面上的指纹过滤机械信号进行建模,为人类振动触觉处理提供了新的见解。
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来源期刊
Advanced Science
Advanced Science CHEMISTRY, MULTIDISCIPLINARYNANOSCIENCE &-NANOSCIENCE & NANOTECHNOLOGY
CiteScore
18.90
自引率
2.60%
发文量
1602
审稿时长
1.9 months
期刊介绍: Advanced Science is a prestigious open access journal that focuses on interdisciplinary research in materials science, physics, chemistry, medical and life sciences, and engineering. The journal aims to promote cutting-edge research by employing a rigorous and impartial review process. It is committed to presenting research articles with the highest quality production standards, ensuring maximum accessibility of top scientific findings. With its vibrant and innovative publication platform, Advanced Science seeks to revolutionize the dissemination and organization of scientific knowledge.
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