基于alk-Ti3C2Tx调节接触面阻挡差的可穿戴自供电压力传感器用于非接触式运动目标识别。

IF 14.1 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Yanan Xiao, Qi Pu, Chenxing Wang, Xiaoteng Jia, Shixiang Sun, Quan Jin, Xiaolong Wang, Bin Wang, Peng Sun, Fangmeng Liu, Geyu Lu
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引用次数: 0

摘要

可穿戴式自供电压力传感器在物体识别方面具有巨大潜力。但是,接近速度和距离的波动可能会影响设备的输出,从而影响识别的准确性。本文研制了一种高灵敏度(1.48 V kPa-1)、高输出(130.5V)、高磁导率(259.98 mm s-1)的可穿戴式自供电压力传感器,该传感器通过调制表面群来动态调节摩擦电层表面的接触势垒差和摩擦电荷密度,从而降低介电损耗,提高输出。传感器利用目标物体和敏感材料之间的极性差异,通过静电感应机制产生不同速度和距离的电信号。在具有自注意机制的Transformer模型的辅助下,通过获取不同速度和距离的传感信号,平均识别准确率达到94.3%。模拟人类视觉的能力,使视障人士能够更容易和独立地适应周围环境,并在帮助盲人日常生活方面提供了重要的进步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Wearable Self-Powered Pressure Sensors Based on alk-Ti3C2Tx Regulating Contact Barrier Difference for Noncontact Motion Object Recognition

Wearable Self-Powered Pressure Sensors Based on alk-Ti3C2Tx Regulating Contact Barrier Difference for Noncontact Motion Object Recognition

Wearable Self-Powered Pressure Sensors Based on alk-Ti3C2Tx Regulating Contact Barrier Difference for Noncontact Motion Object Recognition

Wearable Self-Powered Pressure Sensors Based on alk-Ti3C2Tx Regulating Contact Barrier Difference for Noncontact Motion Object Recognition

Wearable Self-Powered Pressure Sensors Based on alk-Ti3C2Tx Regulating Contact Barrier Difference for Noncontact Motion Object Recognition

Wearable self-powered pressure sensors present tremendous potential for object recognition. However, the fluctuated approach speed and distance may compromise the device output, thus affecting the recognition accuracy. Herein, a wearable self-powered pressure sensor with high sensitivity (1.48 V kPa−1), high output (130.5V), and high permeability (259.98 mm s−1) are developed where the contact barrier difference and triboelectric charge density of the triboelectric layer surface are dynamically regulated by modulating the surface groups resulting in a lower dielectric loss and higher output. The sensor leverages the polarity difference between the target object and the sensitive material to generate electrical signals at different speeds and distances through an electrostatic induction mechanism. With the assistance of the Transformer model with a self-attention mechanism, an average recognition accuracy of 94.3% is achieved by acquiring sensing signals at different speeds and distances. Simulating the ability of human vision, enables visually impaired people to acclimate to their surroundings more easily and independently and provides a critical advancement in the assistance of the blind with daily life.

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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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