软传感器脱策略的最新进展
Yangbo Yuan1, Wanqing Zhang1, Jia-Yu Yang2
1Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, Pennsylvania, USA.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|February 9, 2026
概括
本综述探讨了信号解策略,以克服软传感器中的干扰,使可穿戴电子产品和医疗保健应用中的准确和稳定的性能成为可能.
科学领域:
- 材料科学 材料科学 材料科学
- 传感器技术 传感器技术
- 机器人技术 机器人技术 机器人技术
背景情况:
- 软传感器对于可穿戴电子产品,软机器人,个性化医疗保健和人机交互至关重要.
- 软传感器的实际应用受到信号干扰和多种刺激的交叉敏感性所阻碍.
- 准确和稳定的传感对于这些先进领域的可靠性能至关重要.
研究的目的:
- 为软传感器提供最近信号解策略的概述.
- 解决与信号干扰和交叉敏感性相关的挑战.
- 引导开发高性能,可扩展和可集成的软传感系统.
主要方法:
- 讨论抑制单个物理参数 (拉伸,曲,温度,湿度,压力,光线) 干扰的方法.
- 对空间分辨率的数组级交叉语音消除技术进行审查.
- 总结先进的策略,如时空分离和机器学习来解复杂的信号.
主要成果:
- 确定了各种方法来抑制单个物理参数的干扰.
- 突出技术,以消除传感器阵列中的交叉通话.
- 介绍了使用时空分离和机器学习解复杂,合的输入信号的先进策略.
- 证明这些方法可以简化传感器设计,减少系统复杂性,提高信号保真度.
结论:
- 信号解策略对于推进软传感器技术至关重要.
- 需要进一步的研究,以应对开发高性能,可扩展和可集成的传感系统的剩余挑战.
- 审查的方法为克服当前软传感器应用中的局限性提供了有希望的解决方案.
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