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Personalized Keystroke Dynamics for Self-Powered Human-Machine Interfacing

delete2015-01-02
delete255
PRE
AI
陈军 封面图
陈军 (Jun Chen)
G
Guang Zhu
J
Jin Yang
Q
Qingshen Jing
白鹏 封面图
白鹏 (Peng Bai)
W
Weiqing Yang
X
Xuewei Qi
苏
苏元捷 (Yuanjie Su)
王
王振林 (Zhong Lin Wang) *
DOI:10.1021/nn506832wdelete
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摘要

摘要

En 中文
The computer keyboard is one of the most common, reliable, accessible, and effective tools used for human-machine interfacing and information exchange. Although keyboards have been used for hundreds of years for advancing human civilization, studying human behavior by keystroke dynamics using smart keyboards remains a great challenge. Here we report a self-powered, non-mechanical-punching keyboard enabled by contact electrification between human fingers and keys, which converts mechanical stimuli applied to the keyboard into local electronic signals without applying an external power. The intelligent keyboard (IKB) can not only sensitively trigger a wireless alarm system once gentle finger tapping occurs but also trace and record typed content by detecting both the dynamic time intervals between and during the inputting of letters and the force used for each typing action. Such features hold promise for its use as a smart security system that can realize detection, alert, recording, and identification. Moreover, the IKB is able to identify personal characteristics from different individuals, assisted by the behavioral biometric of keystroke dynamics. Furthermore, the IKB can effectively harness typing motions for electricity to charge commercial electronics at arbitrary typing speeds greater than 100 characters per min. Given the above features, the IKB can be potentially applied not only to self-powered electronics but also to artificial intelligence, cyber security, and computer or network access control.
Keyword:
triboelectrification
IKB
self-powering
human-machine interfacing
keystroke dynamics
biometrics
AI总结

AI总结

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期刊

ACS Nano 封面图
ACS Nano
IF:
16
论文数:
2.7W
被引数:
25.6W

机构

B
beijing institute of nanoenergy & nanosystems, cas
学者数:
994
论文数: 763
被引数: 3
U
university system of georgia
学者数:
7.3W
论文数: 6.6W
被引数: 101
引用论文

引用论文

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Harvesting Energy from the Natural Vibration of Human Walking从人类行走的自然振动中获取能量
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PREAI
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Finger typing driven triboelectric nanogenerator and its use for instantaneously lighting up LEDs手指打字驱动的摩擦电纳米发电机及其用于瞬时点亮led的用途
err2013-07-01
err271
PREAI
errZhong, Junwen; Zhong, Qize; Fan, Fengru; Zhang, Yan; Wang, Sihong; Hu, Bin; Wang, Zhong Lin; Zhou, Jun
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3D Stack Integrated Triboelectric Nanogenerator for Harvesting Vibration Energy
err2014-03-24
err260
PREAI
errYang, Weiqing; Chen, Jun; Jing, Qingshen; Yang, Jin; Wen, Xiaonan; Su, Yuanjie; Zhu, Guang; Bai, Peng; Wang, Zhong Lin
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