Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Cilostazol inhibits TGF-α-induced migration of hepatocellular carcinoma cells by activating PPARγ.

Biochemical and biophysical research communications·2026
Same author

Defining Significant Changes with Patient-Acceptable Symptom State Score and Minimal Clinically Important Difference in Japanese Patient-Reported Outcome Measures following Hip Arthroscopy.

Hip & pelvis·2026
Same author

SARS-CoV-2 Cumulative Infection Over the Pandemic and Its Associated Factors Among Healthcare Workers in Japan.

Journal of epidemiology·2025
Same author

Copper Deficiency Anemia in Older Adults.

Geriatrics & gerontology international·2025
Same author

TNFα stimulates osteoclastogenesis and expression of CX3CL1 in non-adherent bone marrow cells.

Biochemistry and biophysics reports·2025
Same author

Objective gait analysis using Kinect v2® for the prognosis of walking during the acute phase of rehabilitation after proximal femoral fracture surgery.

Frontiers in rehabilitation sciences·2025

相关实验视频

Updated: Sep 11, 2025

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
07:51

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

Published on: March 14, 2017

16.9K

使用基于人工智能的动作捕捉系统与单个智能手机摄像头进行步态分析.

Takuya Usami1, Masaya Kisohara2, Kazuki Nishida3

  • 1Department of Orthopedic Surgery, Nagoya City University Graduate School of Medical Sciences, Nagoya, JPN.

Cureus
|August 14, 2025
PubMed
概括

这项研究表明,使用智能手机的基于AI的运动捕捉系统可以准确地测量步行参数,如速度和步长. 虽然它对许多应用有效,但对于步行周期时间和最小的膝盖 flexion,它的准确性较低.

关键词:
人工智能的人工智能是人工智能.步态分析 步态分析在iPhone上,iPhone是iPhone.移动捕捉是用来捕捉运动的.智能手机的摄像头是智能手机的摄像头.运动运动3d运动3d

更多相关视频

Comprehensive Understanding of Inactivity-Induced Gait Alteration in Rodents
04:37

Comprehensive Understanding of Inactivity-Induced Gait Alteration in Rodents

Published on: July 6, 2022

2.5K
Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

9.0K

相关实验视频

Last Updated: Sep 11, 2025

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
07:51

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

Published on: March 14, 2017

16.9K
Comprehensive Understanding of Inactivity-Induced Gait Alteration in Rodents
04:37

Comprehensive Understanding of Inactivity-Induced Gait Alteration in Rodents

Published on: July 6, 2022

2.5K
Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

9.0K

科学领域:

  • 生物力学 生物力学
  • 人类运动分析分析
  • 医疗保健中的人工智能

背景情况:

  • 传统的红外运动捕捉系统用于步态分析是昂贵的,空间密集的.
  • 人工智能 (AI) 为可访问的步态分析提供了一个潜在的替代方案.

研究的目的:

  • 用单个智能手机摄像头来评估基于AI的动作捕捉系统的有效性.
  • 为了将其精度与传统的基于红外线的运动捕捉系统进行比较.

主要方法:

  • 通过智能手机 (iPhone X) 和红外系统,同时捕捉健康志愿者的22条直行.
  • 通过Sportip Motion 3D AI系统对智能手机数据进行步行视频的分析.
  • 步态参数的比较:速度,循环时间,步长,部/膝盖曲角度.

主要成果:

  • 对于步行速度 (r=0.94),步骤长度 (r=0.91-0.93) 和最大部/膝盖屈曲角度 (r=0.71-0.93) 发现了高精度和相关系数.
  • 在AI和红外系统之间观察到类似的部和膝盖曲角度图形形状.
  • 对于步行周期时间 (r=0.68) 和最小的膝盖屈曲角度 (r=0.30-0.47) 观察到较低的相关系数.

结论:

  • 一个基于人工智能的系统与智能手机摄像头为特定应用提供可靠的步态参数测量.
  • 这项技术为传统的运动捕捉系统提供了一个更容易获得的替代方案.