Abstract：
Conductive hydrogels are widely used in flexible sensors owing to their adjustable structure, good conductivity, and flexibility. The performance of excellent mechanical properties, high sensitivity, and elastic modulus compatible with human tissues is of great interest in the field of flexible sensors. In this paper, the functional groups of trisodium citrate dihydrate (SC) and MXene form multiple hydrogen bonds in the polymer network to prepare a hydrogel with mechanical properties (Young\'s modulus (23.5-92 kPa) of similar human tissue (0-100 kPa)), sensitivity (stretched GF is 4.41 and compressed S1 is 5.15 MPa-1), and durability (1000 cycles). The hydrogel is able to sensitively detect deformations caused by strain and stress and can be used in flexible sensors to detect human movement in real time such as fingers, wrists, and walking. In addition, the combination of matrix sensing and machine learning was successfully used for handwriting recognition with an accuracy of 0.9744. The combination of machine learning and flexible sensors shows great potential in areas such as healthcare, information security, and smart homes.
摘要：
导电水凝胶因其结构可调而广泛应用于柔性传感器中,良好的导电性，和灵活性。优异的机械性能，高灵敏度,与人体组织相容的弹性模量在柔性传感器领域引起了极大的兴趣。在本文中,柠檬酸三钠二水合物（SC）和MXene的官能团在聚合物网络中形成多个氢键，以制备具有机械性能（类似人体组织的杨氏模量（23.5-92kPa）（0-100kPa））的水凝胶，灵敏度(拉伸GF为4.41，压缩S1为5.15MPa-1)，和耐久性（1000次循环）。水凝胶能够灵敏地检测由应变和应力引起的变形，并且可以用于柔性传感器中以实时检测人体运动，例如手指，手腕,和走路。此外,矩阵感知和机器学习的结合被成功地用于手写识别，准确率为0.9744。机器学习和灵活传感器的结合在医疗保健等领域显示出巨大的潜力，信息安全,和智能家居。
