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

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 mW·m<sup>–2</sup>. Furthermore, the SF-TENG has excellent sensitivity of 1.767 mV·Pa<sup>–1</sup> 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.

Authors

Institutions

Publication Details

Journal
Nano Research
Published
2024-12-16
DOI
https://doi.org/10.26599/nr.2025.94907167
Citations
12
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
2.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Xujiang Chao, Haidong Yu, Yang Jiang, Shenxing Tan et al.
12 citations
Nano Research
Advanced Sensor and Energy Harvesting Materials
2.21
article

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

Xujiang Chao, Haidong Yu, Yang Jiang, Shenxing Tan, R. Li, Zhong Lin Wang, Tao Jiang, Fei Liang
article en
12 citations

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 mW·m<sup>–2</sup>. Furthermore, the SF-TENG has excellent sensitivity of 1.767 mV·Pa<sup>–1</sup> 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 ResearchVol. 18(2)
Beijing University of Posts and Telecommunications (CN), Northwestern Polytechnical University (CN), Beijing Institute of Nanoenergy and Nanosystems (CN)
China Postdoctoral Science Foundation, National Postdoctoral Program for Innovative Talents, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 12%
Advanced Sensor and Energy Harvesting Materials
2.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.