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Electronic signatures are widely used in communications, e-commerce, e-government, and information security because they can easily provide authentication and system records over the network, breaking the limitations of time and space. Among them, handwriting signatures are more easily used by users, and they are enthusiasm for the majority of users. They have an irreplaceable role in the unique fields of digitalization, information, and networking. However, traditional handwriting electronic signature systems are mostly based on electrical signals, and the response and transmission time are limited, and it is difficult to fully record dynamic personal writing characteristics such as power and speed in the writing process.
Recently, under the guidance of Prof. Wang Zhonglin, Prof. Pan Xiaofeng and Prof. Dong Lin of the Beijing Institute of Nano Energy and Systems, Chinese Academy of Sciences, researchers such as Wang Xiandi, Zhang Hanlu, and Dr. Yu Ruomeng developed dynamics using piezoelectric photonics. High resolution, fast-response functional devices for stress imaging.
The piezoelectric photonic effect regulates the energy band structure through the internal piezoelectric potential generated by the piezoelectric semiconductor under pressure, which is beneficial to excite the luminescent center introduced by doping, thereby realizing the light emission process under stress. Based on the piezoelectric photonics effect of ZnS:Mn, the researchers converted stress information to synchronously-acquired optical signals, which greatly increased the response time and transmission time of stress imaging. At the same time, large-size, high-resolution, high-stability, and flexible devices can be applied to the field of information security for hand-written digital signatures. The prototype device prepared can reach a spatial resolution of 100 μm, with a response time of the order of 10 ms or less.
Under the influence of human writing pressure, the luminous intensity is linearly correlated with the pressure and the sensitivity is adjustable. It can provide detailed records of the individual characteristics such as applied dynamic pressure and writing speed, enriching the handwritten signature of individuals. Identity features. These features make it more difficult for others to forge fake copies of signatures carrying multiple individual identification features, thereby improving the security of handwritten signatures. This will have very significant application value in the era of digitalization, information, and networking, and provide new thinking for information security in areas such as communications, e-commerce, e-government, and information security. Related research results were published online on February 25 in Advanced Materials (DOI: 10.1002/adma.201405826).
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