可穿戴计算机
灵敏度(控制系统)
压阻效应
材料科学
声学
计算机科学
压力传感器
传感器
触觉传感器
成像体模
动态范围
声压
可穿戴技术
纳米晶
石墨烯
作者
Qingqing Wang,Pengfei Li,Qi Yuan,Wanglinhan Zhang,Ming Ma,Guojie Luo,Yanfeng Lang,Limin Zhou,Zhongqing Su
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2025-10-23
卷期号:10 (11): 8521-8530
被引量:3
标识
DOI:10.1021/acssensors.5c02157
摘要
Wearable acoustic sensors offer a promising solution for effective communication for individuals with speech impairments by calibrating throat vibrations and converting them to synthesized speech. We developed a new type of piezoresistive acoustic sensor that is additively manufactured with polyurethane (PU) film-encapsulated graphene/cellulose nanocrystals (CNCs) via aerosol jet printing. Featuring a high degree of biocompatibility and flexibility, the sensor is capable of accurately measuring varying sound pressure levels (SPLs). Results have demonstrated that the acoustic sensitivity of the sensor can be regulated by changing the graphene concentration, and the sensor with the 20 wt. % of graphene concentration manifests the high sensitivity of 9.7 × 10-6 dB-1, a broad working range from 30 to 90 dB, and a minimum resolution for SPL change of 10 dB, along with a linear correlation between SPL and the resistance change measured by the sensor. When adhered to the throat of a study participant as a wearable device, the sensor faithfully captures subtle vocal characteristics including timbre and rhythm. Integrated with a support vector machine (SVM)-based machine learning algorithm, the device achieves a high accuracy of 95.9% when used to recognize digits (0-9), assisting people with speech difficulties to communicate in a digital manner.
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