用于触觉检测和语音识别的机器学习组合柔性传感器,ACS Applied Materials & Interfaces

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用于触觉检测和语音识别的机器学习组合柔性传感器
ACS Applied Materials & Interfaces ( IF 8.3 ) Pub Date : 2023-02-21 , DOI: 10.1021/acsami.2c22287
Jiawang Xie ₁ , Yuzhi Zhao ₁ , Dezhi Zhu ₁ , Jianfeng Yan ₁ , Jiaqun Li ₁ , Ming Qiao ₁ , Guangzhi He ₁ , Shengfa Deng ₁

Affiliation

智能传感器在各种应用中引起了广泛关注，包括可穿戴电子产品、人工智能、医疗保健监控和人机交互。然而，在实际应用中开发用于复杂信号检测和分析的多功能传感系统仍然存在严峻挑战。在这里，我们开发了一种结合机器学习的柔性传感器，用于通过激光诱导石墨化进行实时触觉传感和语音识别。具有摩擦电层的智能传感器可以在没有外部偏压的情况下通过接触带电效应将局部压力转换为电信号，在受到各种机械刺激时具有特有的响应行为。通过特殊的图案设计，构建了由数字阵列式触摸屏组成的智能人机交互控制系统，用于控制电子设备。基于机器学习，实现对语音变化的实时监测和识别，准确度高。机器学习赋能的柔性传感器为柔性触觉传感、实时健康检测、人机交互和智能可穿戴设备的开发提供了一个有前途的平台。

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A Machine Learning-Combined Flexible Sensor for Tactile Detection and Voice Recognition

Intelligent sensors have attracted substantial attention for various applications, including wearable electronics, artificial intelligence, healthcare monitoring, and human–machine interactions. However, there still remains a critical challenge in developing a multifunctional sensing system for complex signal detection and analysis in practical applications. Here, we develop a machine learning-combined flexible sensor for real-time tactile sensing and voice recognition through laser-induced graphitization. The intelligent sensor with a triboelectric layer can convert local pressure to an electrical signal through a contact electrification effect without external bias, which has a characteristic response behavior when exposed to various mechanical stimuli. With the special patterning design, a smart human–machine interaction controlling system composed of a digital arrayed touch panel is constructed to control electronic devices. Based on machine learning, the real-time monitoring and recognition of the changes of voice are achieved with high accuracy. The machine learning-empowered flexible sensor provides a promising platform for the development of flexible tactile sensing, real-time health detection, human–machine interaction, and intelligent wearable devices.

更新日期：2023-02-21

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