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相关实验视频

Updated: Jun 28, 2025

An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles
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便携式头部安装系统用于移动前臂跟踪.

Matteo Polsinelli1, Alessandro Di Matteo2, Daniele Lozzi2

  • 1DISA-MIS, University of Salerno, 84084 Fisciano, Italy.

Sensors (Basel, Switzerland)
|April 13, 2024
PubMed
概括
此摘要是机器生成的。

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本研究介绍了一种便携式计算机视觉手跟踪系统,使用跳动控制器2和单板计算机. 移动解决方案为各种应用程序提供自然交互,无需外部电源.

科学领域:

  • 计算机科学 计算机科学
  • 人与计算机的交互
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 计算机视觉 (CV) 手跟踪提供无触摸交互,但传统系统缺乏便携性.
  • 固定摄像头和高计算需求限制了移动应用中的CV系统.

研究的目的:

  • 为移动应用开发一个便携式,自动供电的手跟踪系统.
  • 在各种条件下评估系统的性能和稳定性.

主要方法:

  • 一个便携式系统的设计是使用安装在头部上的跳动运动控制器2 (LMC).
  • 由一个紧的电源库供电的单板计算机 (SBC) 控制了系统.
  • 实验测试评估了对可变照明,功耗,CPU使用量,温度和率的稳定性.

主要成果:

  • 该系统在可变的照明条件下显示出强度.
  • 观察到低功耗和CPU使用率.
  • 该系统保持了适合移动应用的率.

结论:

  • 开发的便携式手部追踪系统轻量级且自给自足.
  • 该解决方案适用于需要自然,无触摸交互的移动应用程序.
关键词:
拉斯伯派 (Raspberry Pi) 是一款非常有价值的小米电脑.手跟踪手的跟踪方式跳跃运动控制器跳跃运动控制器便携式设备是一种便携式设备.穿戴式设备是一种可穿戴的设备.

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  • 该系统克服了基于CV的传统手跟踪的局限性.