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| 1 | Self-Powered Intelligent Human-Machine Interaction for Handwriting Recognition显示文摘Handwritten signatures widely exist in our daily lives.The main challenge of signal recognition on handwriting is in the development of approaches to obtain information effectively.External mechanical signals can be easily detected by triboelectric nanogenerators which can provide immediate opportunities for building new types of active sensors capable of recording handwritten signals.In this work,we report an intelligent human-machine interaction interface based on a triboelectric nanogenerator.Using the horizontal-vertical symmetrical electrode array,the handwritten triboelectric signal can be recorded without external energy supply.Combined with supervised machine learning methods,it can successfully recognize handwritten English letters,Chinese characters,and Arabic numerals.The principal component analysis algorithm preprocesses the triboelectric signal data to reduce the complexity of the neural network in the machine learning process.Further,it can realize the anticounterfeiting recognition of writing habits by controlling the samples input to the neural network.The results show that the intelligent human-computer interaction interface has broad application prospects in signature security and humancomputer interaction. | Hang Guo Ji Wan Haobin Wang Hanxiang Wu Chen Xu Liming Miao Mengdi Han Haixia Zhang | 2021 | Research2021，，1： | 4 |
| 2 | 3D Porous MXene Aerogel through Gas Foaming for Multifunctional PressureSensor显示文摘The development of smart wearable electronic devices puts forward higher requirements for future flexible electronics. The design of highly sensitive and high-performance flexible pressure sensors plays an important role in promoting the development of flexible electronic devices. Recently, MXenes with excellent properties have shown great potential in the field of flexible electronics. However, the easy-stacking inclination of nanomaterials limits the development of their excellent properties and the performance improvement of related pressure sensors. Traditional methods for constructing 3D porous structures have the disadvantages of complexity, long period, and difficulty of scalability. Here, the gas foaming strategy is adopted to rapidly construct 3D porous MXene aerogels. Combining the excellent surface properties of MXenes with the porous structure of aerogel, the prepared MXene aerogels are successfully used in high-performance multifunctional flexible pressure sensors with high sensitivity (306 kPa^(-1)), wide detection range (2.3 Pa to 87.3 kPa), fast response time (35 ms), and ultrastability (>20,000 cycles), as well as self-healing, waterproof, cold-resistant, and heat-resistant capabilities. MXene aerogel pressure sensors show great potential in harsh environment detection, behavior monitoring, equipment recovery, pressure array identification, remote monitoring, and human-computer interaction applications. | Yongfa Cheng Li Li Zunyu Liu Shuwen Yan Feng Cheng Yang Yue Shuangfeng Jia Jianbo Wang Yihua Gao Luying Li | 2022 | Research2022，，4： | 1 |
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