Shen Shen, Yi Jia, Sun Zhongda, Guo Zihao, He Tianyiyi, Ma Liyun, Li Huimin, Fu Jiajia, Lee Chengkuo, Wang Zhong Lin
Jiangsu Engineering Technology Research Center for Functional Textiles, Jiangnan University, No.1800 Lihu Avenue, Wuxi, P. R. China.
Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117576, Singapore.
Nanomicro Lett. 2022 Nov 15;14(1):225. doi: 10.1007/s40820-022-00965-8.
Letter handwriting, especially stroke correction, is of great importance for recording languages and expressing and exchanging ideas for individual behavior and the public. In this study, a biodegradable and conductive carboxymethyl chitosan-silk fibroin (CSF) film is prepared to design wearable triboelectric nanogenerator (denoted as CSF-TENG), which outputs of V ≈ 165 V, I ≈ 1.4 μA, and Q ≈ 72 mW cm. Further, in vitro biodegradation of CSF film is performed through trypsin and lysozyme. The results show that trypsin and lysozyme have stable and favorable biodegradation properties, removing 63.1% of CSF film after degrading for 11 days. Further, the CSF-TENG-based human-machine interface (HMI) is designed to promptly track writing steps and access the accuracy of letters, resulting in a straightforward communication media of human and machine. The CSF-TENG-based HMI can automatically recognize and correct three representative letters (F, H, and K), which is benefited by HMI system for data processing and analysis. The CSF-TENG-based HMI can make decisions for the next stroke, highlighting the stroke in advance by replacing it with red, which can be a candidate for calligraphy practice and correction. Finally, various demonstrations are done in real-time to achieve virtual and real-world controls including writing, vehicle movements, and healthcare.
手写字母,尤其是笔画修正,对于记录语言以及个人行为和公众表达与交流思想非常重要。在本研究中,制备了一种可生物降解且导电的羧甲基壳聚糖-丝素蛋白(CSF)薄膜,以设计可穿戴摩擦纳米发电机(记为CSF-TENG),其输出电压V≈165 V、电流I≈1.4 μA以及电荷量Q≈72 mW cm。此外,通过胰蛋白酶和溶菌酶对CSF薄膜进行体外生物降解。结果表明,胰蛋白酶和溶菌酶具有稳定且良好的生物降解性能,降解11天后可去除63.1%的CSF薄膜。进一步地,设计了基于CSF-TENG的人机界面(HMI),以快速跟踪书写步骤并获取字母的准确性,从而形成一种直接的人机通信媒介。基于CSF-TENG的HMI能够自动识别并纠正三个代表性字母(F、H和K),这得益于HMI系统进行的数据处理和分析。基于CSF-TENG的HMI能够对下一笔画做出决策,通过将笔画提前用红色突出显示,这可作为书法练习和修正的一个选择。最后,实时进行了各种演示,以实现包括书写、车辆移动和医疗保健在内的虚拟与现实世界控制。