题目： | Clothing-Integrated Multifunctional Ultrasensitive Triboelectric Acoustic Textile for Real-Time Heart Sound Monitoring, Remote Communication, and Voice Assistant |
作者： | Beibei Shao1,3#, Zhi-Xian Yan4#, Tai-Chen Wu4#, Tien-Yu Ko4#, Wei-Chen Peng4, Wei-Chun Yang4, Kai-Yuan Hsiao5, Jiun-Wei Fong4, Ming-Han Lu4, Cheng-Hung Tsai4, Yi-Lin Huang4, Ruiyuan Liu2, Baoquan Sun1, Ming-Yen Lu5*, Ying-Chih Lai4,6,7* |
单位： | 1State Key Laboratory of Bioinspired Interfacial Materials Science, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou 215006, P. R. China. 2Soochow Institute of Energy and Material Innovations, Key Laboratory for Advanced Carbon Materials and Wearable Energy Technologies of Jiangsu Province, Soochow University Suzhou 215006, P. R. China 3Department of Materials Science and Engineering National University of Singapore 117574, Singapore 4Department of Materials Science and EngineeringNational Chung Hsing University Taichung City 402202, Taiwan 5Department of Materials Science and Engineering National Tsing Hua University Hsinchu 300, Taiwan 6Innovation and Development Center of Sustainable Agriculture, i-Center for Advanced Science and Technology National Chung Hsing University Taichung City 402202, Taiwan 7Department of Physics National Chung Hsing University Taichung City 402202, Taiwan |
摘要： | Real-time acoustic detection is critical for auscultation, communication, and human-artificial intelligence (AI) interactions. However, conventional acoustic sensors are bulky, rigid, and power-hungry, limiting their applicability in wearables. Developing sound perception into textiles presents a promising yet challenging pathway for intuitive and imperceptible interfaces. Here, a multifunctional, scalable, ultrasensitive, and self-powered triboelectric acoustic textile (MTA-Textile) that enables real-time sound sensing while possessing fabric properties including light weight, flexibility, and washability is reported. It supports diverse functionalities, including real-time cardiac auscultation, remote communication, voice recognition, and voice assistants, seamlessly integrated into everyday clothing. The multilayered MTA-Textile comprises a MoS2 nanocomposite coating for charge trapping and transport and a graphite-like textile for charge storage. This synergistic architecture maximizes charge generation and retention, delivering high output (18.3 V), exceptional sensitivity (3 V Pa−1) at low-intensity, low-frequency regions (<80 dB, <250 Hz), high signal-to-noise ratio (SNR) (57.5 dB), fine resolution (1 Hz), and long-term stability (36600 s retention, >10 000 cycles). The first garments serving as textile-based stethoscopes and voice intercom systems are demonstrated. With deep learning (DL)-enabled vocal command recognition, users can engage computing systems by speaking directly to the textile. This work advances next-generation acoustic wearables for healthcare, smart clothing, and human-AI interfaces. |
影响因子： | 18.5 |
分区情况： | 一区 |
链接： |
责任编辑：郭佳