Abstract
The keyboard, a staple tool for information entry and human-machine interaction, faces demands for enhanced information security due to evolving internet technologies. This study introduces a self-powered flexible intelligent keyboard (SFIK) that harnesses the giant magnetoelastic effect to convert the mechanical pressure from key presses into electrical signals. The sensor boasts a wide sensing range (35 to 600 kPa) and a rapid response time (~300 ms), allowing it to record and recognize individual keystroke dynamics. Integrated with machine learning, this keyboard enables identity authentication through both fixed- and dynamic-text inputs. It accurately authenticates fixed passwords of eight characters with a 95.3% success rate and dynamic text from 14 sets of double keys with 100% accuracy. Given its capabilities, the SFIK offers promising applications in artificial intelligence, network security, and access control for computers and networks.
| Original language | English |
|---|---|
| Article number | eads2297 |
| Journal | Science Advances |
| Volume | 11 |
| Issue number | 11 |
| Early online date | 14 Mar 2025 |
| DOIs | |
| Publication status | Published - 14 Mar 2025 |
Data Availability Statement
All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials.Funding
Y.Y. acknowledges the National Natural Science Foundation of China (grant no. 52072041), the Beijing Natural Science Foundation (grant no. JQ21007), and the University of Chinese Academy of Sciences (grant no. Y8540XX2D2). J.C. acknowledges the Henry Samueli School of Engineering & Applied Science and the Department of Bioengineering at the University of California, Los Angeles for their startup support. J.C. also acknowledges the Vernroy Makoto Watanabe Excellence in Research Award at the UCLA Samueli School of Engineering.
ASJC Scopus subject areas
- General
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