软件可移植性
灵活性(工程)
可穿戴计算机
计算机科学
弯曲
理论(学习稳定性)
持续监测
运动捕捉
材料科学
模拟
嵌入式系统
运动(物理)
人工智能
工程类
机器学习
程序设计语言
复合材料
运营管理
统计
数学
作者
Zhiling Chen,Kun Lv,Renqiang Zhao,Yaxian Lu,Ping Chen
出处
期刊:Nanomaterials
[MDPI AG]
日期:2024-12-20
卷期号:14 (24): 2044-2044
被引量:5
摘要
Wearable devices have potential applications in health monitoring and personalized healthcare due to their portability, conformability, and excellent mechanical flexibility. However, their performance is often limited by instability in acidic or basic environments. In this study, a flexible sensor with excellent stability based on a GaN nanoplate was developed through a simple and controllable fabrication process, where the linearity and stability remained at almost 99% of the original performance for 40 days in an air atmosphere. Moreover, perfect stability was also demonstrated in acid–base environments, with pH values ranging from 1 to 13. Based on its excellent stability and piezotronic performance, a flexible device for motion monitoring was developed, capable of detecting motions such as finger, knee, and wrist bending, as well as swallowing. Furthermore, gesture recognition and intelligent fall monitoring were explored based on the bending properties. In addition, an intelligent fall warning system was proposed for the personalized healthcare application of elders by applying machine learning to analyze data collected from typical activities. Our research provides a path for stable and flexible electronics and personalized healthcare applications.
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