织物触觉传感器的结构依赖共振频率工程 迈向快速而精确的盲人识别,超越人类感觉
Xianhong Zheng1,2,3, Runrun Zhang4, Yu Shi4
1School of Textile and Garment, Anhui Polytechnic University, Wuhu, China.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|January 13, 2026
概括
一种基于织品的新型生物触觉传感器 (TBTS) 能够使视力障碍者比人类更快地阅读盲文. 这种先进的电子系统立即将盲文翻译为音频反,以改善学习和导航.
科学领域:
- 材料科学 材料科学 材料科学
- 生物医学工程 生物医学工程
- 机器人技术 机器人技术 机器人技术
背景情况:
- 视力障碍者需要先进的触觉感应来进行辅助学习.
- 现有的单模式传感器在同时检测静态压力和高频振动方面存在局限性.
- 模仿人类机械受体 (缓慢适应和快速适应) 是人工触觉感知的关键.
研究的目的:
- 开发一种基于织品的生物触觉传感器 (TBTS),具有高灵敏度和广泛的频率响应.
- 为优化共振频率设计一个3D编织结构.
- 为视力受损者创建一个即时的布莱尔到音频转换系统.
主要方法:
- 基于织品的仿生触觉传感器的制造,采用了压力阻抗机制.
- 有限元分析 (FEA) 了解传感器的结构力学和共振频率.
- TBTS与商业手套,信号处理器和智能手机集成,用于盲人识别.
- 机器学习算法的应用用于信号处理和音频转换.
主要成果:
- TBTS在超宽频率范围 (5-600 Hz) 中表现出高灵敏度和快速响应,超过了人类的振动能力范围.
- FEA证实,3D编织结构的共振频率工程负责传感器的卓越性能.
- 盲文转换成音频系统在字符方面达到100.0%的准确率,在多个字符的句子方面达到97.5%的准确率.
- 该系统的频率明显高于熟练的人类盲文阅读速度,提供实时音频反.
结论:
- 开发的TBTS为人工触觉感知提供了一个新的解决方案,克服了现有传感器的局限性.
- 这项技术为视障人士的辅助技术建立了新的范例.
- 该系统为下一代智能可穿戴设备铺平了道路,用于盲人教育和导航.
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