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Highly durable machine-learned waterproof electronic glove based on low-cost thermal transfer printing for amphibious wearable applications
Nano Research 2023, 16(4): 5480-5489
Published: 13 December 2022
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Gesture recording, modeling, and understanding based on a robust electronic glove (E-glove) are of great significance for efficient human-machine cooperation in harsh environments. However, such robust edge-intelligence interfaces remain challenging as existing E-gloves are limited in terms of integration, waterproofness, scalability, and interface stability between different components. Here, we report on the design, manufacturing, and application scenarios for a waterproof E-glove, which is of low cost, lightweight, and scalable for mass production, as well as environmental robustness, waterproofness, and washability. An improved neural network architecture is proposed to implement environment-adaptive learning and inference for hand gestures, which achieves an amphibious recognition accuracy of 100% in 26 categories by analyzing 2,600 hand gesture patterns. We demonstrate that the E-glove can be used for amphibious remote vehicle navigation via hand gestures, potentially opening the way for efficient human-human and human-machine cooperation in harsh environments.

Research Article Issue
High-resolution and large-size stretchable electrodes based on patterned silver nanowires composites
Nano Research 2022, 15(5): 4590-4598
Published: 22 January 2022
Abstract PDF (17.6 MB) Collect
Downloads:96

Electrodes based on composites of silver nanowires (AgNWs) and elastic polymers have been widely studied and applied in various stretchable electronic devices. However, due to the high aspect ratio of nanowires, the patterning of AgNW-based composite electrodes remains a huge challenge, especially for high-resolution complex circuit wiring on large-size elastic substrates. In this paper, we propose a method for preparing large-size stretchable circuit boards with high-resolution electrodes by the combination of screen printing and vacuum filtration of AgNWs/polydimethylsiloxane (PDMS) composite. The as-prepared stretchable electrodes have smooth edges with patterning resolution up to ~50 μm. The conductivity of the composite electrode can be precisely controlled by varying deposition densities of AgNWs and have reached to 1.07 × 104 S/cm when the deposition density was 2.0 mg/cm2. In addition, the uniformity of conductivity and the resistance-strain characteristics of composite electrodes were systematically evaluated with different AgNWs deposition densities. The composite electrodes have been successfully employed to construct a large-size programmable display system and an 18-channel surface electromyography (EMG) recording, showing great potentials for some strain-insensitive stretchable circuits in wearable and health-related electronic applications.

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