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一个智能基于织品的触觉传感系统,用于多通道的手语识别
Keran Chen1, Longnan Li2,3, Qinyao Peng3
1School of Electrical Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Sensors (Basel, Switzerland)
|August 14, 2025
概括
这项研究介绍了一种用于手语识别的新型智能织触觉传感器系统. 可穿戴系统准确地捕捉了手势,克服了基于视觉的方法的局限性.
科学领域:
- 生物医学工程 生物医学工程
- 可穿戴技术可穿戴技术
- 人与计算机的交互
背景情况:
- 目前的手语识别方法,通常是以视觉为基础的,与环境变化 (如照明和遮蔽) 进行斗争.
- 对于聋人来说,有效的沟通工具是必不可少的,但现有的技术存在局限性.
研究的目的:
- 开发一个强大的,可穿戴的触觉传感系统,用于静态手语识别.
- 克服基于视觉的手语识别系统的环境敏感性.
主要方法:
- 一个多通道触觉感应系统,使用集成到智能织品 (手套和袖子) 中的 triboelectric 线.
- 该系统通过生物力学相互作用和皮肤变形来捕捉微妙的手腕和手指运动.
- 传感器平台的设计是独立于照明条件和阻塞.
主要成果:
- 拟议的系统在信号过后实现了美国手语字母手势的高分类准确率94.66%.
- 证明了复杂手势的有效识别,表明了强大的表现.
- 触觉传感器阵列在各种条件下提供了高信号清晰度和可靠的性能.
结论:
- 基于织品的智能触觉传感系统为基于视觉的手语识别提供了一个有希望的替代方案.
- 这项技术具有显著的潜力,可以改善聋人和更广泛的人与计算机交互应用的通信可访问性.
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