Humidity-Resistant Piezoelectric Nanogenerator in a Self-Powered Smart Glove for Real-Time Motion Detection and Morse Code Transmission for Remote Workers

IF 8.2 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Ragu Sasikumar*,  and , Byungki Kim*, 
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引用次数: 0

Abstract

Wearable flexible sensors have gained significant attention for their applications in bioelectronics, human–machine interaction, motion monitoring, and self-powered energy harvesting─especially in scenarios requiring real-time feedback and autonomy. In hazardous or noisy environments, such as in industrial, military, or medical contexts, communication can be severely restricted. To address this, we developed a smart glove embedded with a flexible piezoelectric nanogenerator (FPENG) for real-time, self-powered Morse code transmission via finger movements. The FPENG utilizes a zinc tungstate (ZnWO4) and barium titanate (BaTiO3) nanoparticle composite within a PDMS matrix, enhancing the piezoelectric output. The device achieved a peak voltage of 1.79 V under 30 N at 3 Hz─outperforming comparable sensors─with reliable operation across a wide force range (0.01–784 N). This performance is attributed to the core–shell composite structure, interfacial polarization, charge separation, and mechanical durability. The FPENG showed stable output over a month, indicating long-term reliability. Its rapid response and sensitivity enable it to detect various human motions (including finger/wrist/elbow/knee bending, foot tapping, walking, and running). This cost-effective, compact smart glove demonstrates strong potential for use in assistive communication for individuals with disabilities, remote workers, and AI-integrated wearable systems, especially in environments where conventional communication is limited.

Abstract Image

Abstract Image

用于远程工作人员实时运动检测和莫尔斯电码传输的自供电智能手套中的耐湿压电纳米发电机
可穿戴柔性传感器因其在生物电子学、人机交互、运动监测和自供电能量收集方面的应用而受到广泛关注,特别是在需要实时反馈和自主性的场景中。在危险或嘈杂的环境中,例如在工业、军事或医疗环境中,通信可能受到严重限制。为了解决这个问题,我们开发了一种嵌入柔性压电纳米发电机(FPENG)的智能手套,用于通过手指运动实时、自供电的摩尔斯电码传输。FPENG在PDMS基体中使用钨酸锌(ZnWO4)和钛酸钡(BaTiO3)纳米颗粒复合材料,增强了压电输出。该器件在30n, 3hz下的峰值电压为1.79 V,优于同类传感器,并在宽力范围(0.01-784 N)内可靠地工作。这种性能归功于核壳复合结构、界面极化、电荷分离和机械耐久性。FPENG在一个多月的时间里显示出稳定的输出,表明长期可靠。它的快速反应和灵敏度使它能够检测各种人体运动(包括手指/手腕/肘部/膝盖弯曲,脚轻拍,走路和跑步)。这种具有成本效益的紧凑型智能手套在残疾人、远程工作人员和人工智能集成可穿戴系统的辅助通信中具有巨大的潜力,特别是在传统通信有限的环境中。
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来源期刊
ACS Applied Materials & Interfaces
ACS Applied Materials & Interfaces 工程技术-材料科学:综合
CiteScore
16.00
自引率
6.30%
发文量
4978
审稿时长
1.8 months
期刊介绍: ACS Applied Materials & Interfaces is a leading interdisciplinary journal that brings together chemists, engineers, physicists, and biologists to explore the development and utilization of newly-discovered materials and interfacial processes for specific applications. Our journal has experienced remarkable growth since its establishment in 2009, both in terms of the number of articles published and the impact of the research showcased. We are proud to foster a truly global community, with the majority of published articles originating from outside the United States, reflecting the rapid growth of applied research worldwide.
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