Scholarlink

<p>Multilayer structured piezo-triboelectric hybrid nanogenerators (m-PT-HNG) are emerging as promising candidates for next-generation wearable sensors owing to their ability to harvest energy with high sensitivity and enhanced output. In this work, we report a reliable and sensitive multilayered intrinsic piezo-tribo hybrid nanogenerator (m-PT-HNG) based on a multilayer piezoelectric composite nanogenerator (m-PCNG) architecture combined with triboelectric functionality. The m-PCNG fabricated via parallelly connected multilayers demonstrate significant enhancement of output performance compared to single-layer PCNG. The ferroelectric, piezoelectric performance of Cu<sub>2</sub>O-doped 0.3Ba<sub>0.7</sub>Ca<sub>0.3</sub>TiO<sub>3</sub>-0.7BaSn<sub>0.12</sub>Ti<sub>0.88</sub>O<sub>3</sub> (BCST-0.01Cu<sub>2</sub>O) ceramic fillers was systematically optimized by applying various piston loads (10 to 50 kN) and an electric field of 25&#xa0;kV/cm. The resulting intrinsically coupled m-PT-HNG produces an instantaneous power density of 85.36 mW/m<sup>2</sup> at 200 MΩ. To demonstrate practical utility, a sign language recognition smart glove (SLR-SG) was developed integrating the five m-PT-HNGs, enabling accurate sign language classification through a machine learning algorithm and real-time sign language to speech conversion via a mobile application.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Multilayered piezo-tribo hybrid nanogenerator integrated with machine learning for advanced sign language to speech system

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月15日

查看全文
  • Monunith Anithkumar,
  • Asokan Poorani Sathya Prasanna,
  • Nagamalleswara Rao Alluri,
  • Thanjan Shaji Bincy,
  • Kwi-Il Park,
  • Sang-Jae Kim

摘要

Multilayer structured piezo-triboelectric hybrid nanogenerators (m-PT-HNG) are emerging as promising candidates for next-generation wearable sensors owing to their ability to harvest energy with high sensitivity and enhanced output. In this work, we report a reliable and sensitive multilayered intrinsic piezo-tribo hybrid nanogenerator (m-PT-HNG) based on a multilayer piezoelectric composite nanogenerator (m-PCNG) architecture combined with triboelectric functionality. The m-PCNG fabricated via parallelly connected multilayers demonstrate significant enhancement of output performance compared to single-layer PCNG. The ferroelectric, piezoelectric performance of Cu2O-doped 0.3Ba0.7Ca0.3TiO3-0.7BaSn0.12Ti0.88O3 (BCST-0.01Cu2O) ceramic fillers was systematically optimized by applying various piston loads (10 to 50 kN) and an electric field of 25 kV/cm. The resulting intrinsically coupled m-PT-HNG produces an instantaneous power density of 85.36 mW/m2 at 200 MΩ. To demonstrate practical utility, a sign language recognition smart glove (SLR-SG) was developed integrating the five m-PT-HNGs, enabling accurate sign language classification through a machine learning algorithm and real-time sign language to speech conversion via a mobile application.