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Research Article | Open Access | Just Accepted

Self-powered tactile sensor for real-time recognition of Morse code based on machine learning

Shenxing Tan1,2,3,§Yang Jiang3,4,§Xujiang Chao5,§Fei Liang2Ripeng Li6Tao Jiang1,3,4,§( )Hai-Dong Yu2( )Zhong Lin Wang1,3( )

1 Guangzhou Institute of Blue Energy, Knowledge City, Huangpu District, Guangzhou 510555, China

2 Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE), and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an 710072, China

3 Beijing Key Laboratory of Micro-Nano Energy and Sensor, Center for High-Entropy Energy and Systems, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China

4 School of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

5 School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China

6 School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing 100876, China

§ Shenxing Tan, Yang Jiang, and Xujiang Chao contributed equally to this work.

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Abstract

Developing lightweight, green, and flexible wearable electronics with high sensitivity and multifunctional sensing capabilities is of important significance in the field of outdoor sports, such as mountaineering, animal tracking and protection. This work proposes a silk fibroin fibers-based triboelectric nanogenerator (SF-TENG) to harvest tiny energy from human fingertip tapping and act as a self-powered tactile sensor. The SF-TENG adopts a green, efficient, and low-cost fabrication strategy, in which a breathable and electropositive silk fibroin fiber membrane and a silver conductive layer are prepared by electrostatic spinning and magnetron sputtering, and combined with a conductive cloth and a breathable tape to form a flexible sensor that can be attached to a human skin. The thin and soft portable TENG device, having a thickness of only 0.3 mm and a mass of 354 mg at the dimension of 4.5 cm × 4.5 cm, can generate a maximum power density of 1.0 W m-2. Furthermore, the SF-TENG has excellent sensitivity of 1.767 mV Pa-1 with good cyclic stability. The superior sensing characteristics provide new avenues for Morse code applications toward outdoor wearable autonomous communication. The proposed SF-TENG offers promising solutions in multi-scenario outdoor sport, human-machine interface interaction, and security systems.

Nano Research
Cite this article:
Tan S, Jiang Y, Chao X, et al. Self-powered tactile sensor for real-time recognition of Morse code based on machine learning. Nano Research, 2024, https://doi.org/10.26599/NR.2025.94907167

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Received: 02 October 2024
Revised: 14 November 2024
Accepted: 02 December 2024
Available online: 02 December 2024

© The author(s) 2025

This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the original author(s) and the source, provide a link to the license, and indicate if changes were made.

See https://creativecommons.org/licenses/by/4.0/

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