NeuraLoop:一个高带宽的闭环人机接口
Luis Pelaez Murciego1, Elias Thomassen Dam1, Hans Henrik Dalgaard1
1Department of Health Science and Technology, The Faculty of Medicine, Aalborg University, Aalborg, Denmark.
Journal of neuroengineering and rehabilitation
|December 13, 2025
概括
NeuraLoop提供了一个可穿戴,双向的接口,用于人机交互,准确地识别微型手势,并提供触觉反以进行直观的控制. 这种基于织品的系统增强了假肢和虚拟现实应用.
科学领域:
- 生物医学工程 生物医学工程
- 人与计算机的交互
- 可穿戴技术可穿戴技术
背景情况:
- 现有的用于人机交互 (HMI) 的肌电接口存在空间分辨率低和单向通信问题.
- 为了克服这些局限性,开发了一种新的可穿戴,高带宽,双向接口NeuraLoop.
- 在织平台上,NeuraLoop集成了肌电 (EMG) 信号采集和电刺激反.
研究的目的:
- 为了证明一个可穿戴的,基于织的双向接口的可行性,用于HMI.
- 为了评估系统在分类微妙的微型手势的能力.
- 通过触觉反来评估虚拟光标的闭环控制.
主要方法:
- 开发了NeuraLoop,这是一个由32个EMG记录和32个电动动刺激组成的灵活矩阵.
- 实施了时间分割复杂化 (TDM) 策略,用于同时记录和刺激.
- 在两个任务中对十名健康受试者进行了系统评估:微型手势分类和虚拟光标控制.
主要成果:
- 试验对象在分类四个指的微型手势方面取得了超过94%的准确性.
- 在闭环控制中,参与者通过使用电性反实现了70%的准确度,准确地击中了目标.
- 当在控制任务中包括相邻的单元匹配时,可以达到95%的准确性.
结论:
- NeuraLoop通过可穿戴的织接口证明了高带宽,双向HMI的可行性.
- 该系统可实现精确的微手势识别和有效的,空间编码的触觉反传递.
- 这项技术有可能用于先进的假肢,康复和虚拟/增强现实系统.
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