A flexible pressure sensor array for self-powered identity authentication during typing

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.

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Publication Details

Journal
Science Advances
Published
2025-03-12
DOI
https://doi.org/10.1126/sciadv.ads2297
Citations
24
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
16.18
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article

A flexible pressure sensor array for self-powered identity authentication during typing

Maoyi Zhang, Zhijie Huang, Ya Feng Yang, Chris Bowen et al.
24 citations
Science Advances
Advanced Sensor and Energy Harvesting Materials
16.18
article

A flexible pressure sensor array for self-powered identity authentication during typing

Maoyi Zhang, Zhijie Huang, Ya Feng Yang, Chris Bowen, Farid Manshaii, Jun Chen, Yanan Bai, Weiqi Qian, Chaosheng Hu, Tong-Tong Zhang
article en
24 citations

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.

Science AdvancesVol. 11(11)
Guangxi University (CN), University of California, Los Angeles (US), Chinese Academy of Sciences (CN), Beijing Institute of Nanoenergy and Nanosystems (CN), University of Chinese Academy of Sciences (CN), University of Bath (GB)
Openalex Percentile: Top 1%
Advanced Sensor and Energy Harvesting Materials
16.18
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A flexible pressure sensor array for self-powered identity authentication during typing — Maoyi Zhang, Zhijie Huang, et al. · Science Advances (2025) | TGRS Research Map | TGRS