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通过可扩展软电极阵列实现AR-enabled持久的人机接口.

Hodam Kim1,2, Ho-Seung Cha1,2,3, Minseon Kim4

  • 1IEN Center for Human-Centric Interfaces and Engineering, Institute for Electronics and Nanotechnology, Georgia Institute of Technology, Atlanta, GA, 30332, USA.

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概括
此摘要是机器生成的。

这项研究介绍了一种用于增强现实 (AR) 控制的新型软可穿戴系统. 该系统使用电肌图和机器学习来准确识别手势,以实现直观的人机界面.

关键词:
增强现实 (AR) 是一种增强现实.电极阵列是一个电极阵列.人机界面 人机界面柔软的可穿戴设备可以穿戴.

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科学领域:

  • 人与计算机的交互
  • 可穿戴电子设备的电子产品
  • 增强现实是一种增强现实.

背景情况:

  • 增强现实 (AR) 接口通常依赖于外部控制器,如操纵杆或智能手机,这可能是繁的或不可靠的.
  • 现有的可穿戴系统可能缺乏必要的准确性,舒适性或一致性,以实现无AR交互.
  • 需要直观和直接的控制方法来克服当前AR输入系统的局限性.

研究的目的:

  • 开发和评估一个柔软的,全合一的可穿戴电子系统,与增强现实 (AR) 集成.
  • 通过实时手势识别实现对外部系统的直观,准确和直接控制.
  • 展示这个平台在先进的人机界面方面的潜力.

主要方法:

  • 设计了一个柔软的,全合一的可穿戴设备,包含一个可扩展的电极阵列和无线系统.
  • 电肌图 (EMG) 用于实时测量,连续识别手势.
  • 嵌入式机器学习算法被用于手势分类.

主要成果:

  • 该系统在分类十个不同的手势类别中达到96.08%的准确性.
  • 与刚性可穿戴设备相比,软可穿戴系统表现出更好的信号噪声比和一致性.
  • 成功展示了AR集成无人机控制的成功演示,展示了该系统在远程交互方面的潜力.

结论:

  • 开发的AR集成软可穿戴系统为控制外部硬件和软件提供了更直观,更准确的方法.
  • 软可穿戴设备的皮肤一致性提高了信号质量和长期可用性.
  • 这种平台技术为各种应用中先进的人机界面开辟了众多机会.