材料科学
标度系数
导电体
光电子学
可穿戴计算机
图层(电子)
信号(编程语言)
噪音(视频)
压阻效应
聚二甲基硅氧烷
基质(水族馆)
声学
干扰(通信)
纳米技术
频道(广播)
计算机科学
复合材料
制作
电信
嵌入式系统
医学
海洋学
替代医学
图像(数学)
物理
病理
人工智能
地质学
程序设计语言
作者
Hyung Jin Choi,Jungkyu Ahn,Byung Ku Jung,Young Don Choi,Taesung Park,Junsung Bang,Junhyeok Park,Yoonji Yang,Gayeon Son,Soong Ju Oh
标识
DOI:10.1021/acsami.3c08050
摘要
Human voice recognition via skin-attachable devices has significant potential for gathering important physiological information from acoustic data without background noise interference. In this study, a highly sensitive and conductive wearable crack-based strain sensor was developed for voice-recognition systems. The sensor was fabricated using a double-layer structure of Ag nanoparticles (NPs) and Ag metal on a biocompatible polydimethylsiloxane substrate. The top metal layer acts as a conducting active layer, whereas the bottom Ag NP layer induces channel cracks in the upper layer, effectively hindering current flow. Subsequently, the double-layer film exhibits a low electrical resistance value (<5 × 10–5 Ω cm), ultrahigh sensitivity (gauge factor = 1870), and a fast response/recovery time (252/168 μs). A sound wave was detected at a high frequency of 15 kHz with a signal-to-noise ratio (SNR) over 40 dB. The sensor exhibited excellent anti-interference characteristics and effectively differentiated between different voice qualities (modal, pressed, and breathy), with a systematic analysis revealing successful detection of the laryngeal state and glottal source. This ultrasensitive wearable sensor has potential applications in various physiological signal measurement methods, personalized healthcare systems, and ubiquitous computing.
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