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基于MXene的皮肤类水凝传感器和机器学习辅助的手写识别.

Fengying Wang1, Dengke Song1, Can Zhou1

  • 1School of Chemistry and Materials Science, Ludong University, Yantai 264025, China.

ACS applied materials & interfaces
|July 24, 2024
PubMed
概括

这项研究开发了一种使用三酸二和MXene用于灵活传感器的新型导电水凝. 该材料具有出色的机械性能,高灵敏度和耐用性,可实时检测人类运动和识别手写.

关键词:
这就是MXene MXene.有导电性的水凝.通过手写识别技术识别手写.机器学习是机器学习.机械属性 机械属性 机械属性传感器 传感器 传感器

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科学领域:

  • 材料科学 材料科学 材料科学
  • 聚合物化学 聚合物化学
  • 传感器技术 传感器技术

背景情况:

  • 导电性水凝对于灵活的传感器至关重要,因为它们的调节性结构,导电性和灵活性.
  • 对于具有机械性能,高灵敏度和与人体组织相匹配的弹性模块的灵活传感器有很大的需求.

研究的目的:

  • 准备一种具有增强机械性能,灵敏度和耐久性的新型导电水凝.
  • 评估水凝在检测人类运动中的性能及其在手写识别应用中的潜力.

主要方法:

  • 在聚合物网络中,通过在三酸二 (SC) 和MXene之间形成多个键来制造水凝.
  • 描述水凝的机械性能 (模),灵敏度 (尺度因子和压缩灵敏度) 和耐用性.
  • 灵活传感器与机器学习集成,用于识别手写.

主要成果:

  • 准备好的水凝具有与人体组织 (0100 kPa) 相当的机械性能 (Young 的模量为 23.592 kPa).
  • 水凝具有很高的灵敏度 (拉伸的GF为4.41,压缩的S1为5.15MPa-1) 和超过1000个循环的耐用性.
  • 灵活的传感器成功地检测到人类的运动 (手指,手腕,行走),并在手写识别中达到0.9744准确度.

结论:

  • SC-MXene水凝具有出色的机械性能,灵敏度和耐用性,使其适用于灵活的传感器.
  • 开发的水凝可以有效地实时监控人体运动.
  • 灵活的传感器和机器学习的结合显示出在医疗保健,信息安全和智能家居等领域的应用具有重大前景.