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相关实验视频

Updated: May 24, 2025

Three-Dimensional Finger Motion Tracking during Needling: A Solution for the Kinematic Analysis of Acupuncture Manipulation

Three-Dimensional Finger Motion Tracking during Needling: A Solution for the Kinematic Analysis of Acupuncture Manipulation

Published on: October 28, 2021

多摄像头手动分析用于穿孔技术培训

Zhe Li, Aya Kanazuka, Atsushi Hojo

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|March 3, 2025

概括

这项研究引入了一种新的基于摄像头的系统,用于在注射训练期间非接触式跟踪手部运动. 它提供客观的反来改善医学学生.

科学领域:

医学教育医学教育
生物医学工程生物医学工程
计算机视觉计算机视觉

背景情况:

目前注射培训的反依赖于主观的医生评估,缺乏客观的精确度.
运动跟踪的可穿戴传感器是昂贵的,可能会阻碍学生的表现.
在医学培训中需要客观的,非侵入性的方法来评估注射技术.

研究的目的:

开发和验证一种新的非接触式系统,用于在模拟注射训练期间跟踪手指运动.
提供客观,准确和可靠的反,以提高医学学生的注射技能.
克服主观反和繁的可穿戴传感器的局限性.

主要方法:

使用了MediaPipe手动系统,配有四个摄像头,用于非接触式指纹运动跟踪.
在模拟注射过程中重建了一个3D手模型,解决了手指阻塞问题.
与高精度运动捕捉系统 (VICON) 相比,验证了系统的准确性和精度.

主要成果:

该系统在跟踪手指关节长度方面表现出了稳健性.
与VICON相比,该系统在评估手指关节位置方面取得了高精度.
从十名医学学生那里成功收集了关于手注射技术的客观数据.

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Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

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Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

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相关实验视频

Last Updated: May 24, 2025

Three-Dimensional Finger Motion Tracking during Needling: A Solution for the Kinematic Analysis of Acupuncture Manipulation

Three-Dimensional Finger Motion Tracking during Needling: A Solution for the Kinematic Analysis of Acupuncture Manipulation

Published on: October 28, 2021

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

结论:

拟议的MediaPipe手动系统为注入技能评估提供了一个客观而准确的方法.
这项技术可以显著提高临床注射培训的质量和标准化.
该系统为现有的反机制提供了具有成本效益和非侵入性的替代方案.