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Updated: Jan 28, 2026

Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults
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Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults

Published on: May 12, 2016

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评估一个无标记运动捕捉系统的有效性和可靠性,以对准平面行走范围的运动范围

Tsuyoshi Ohmura1,2, Satoshi Kojima2,3, Toshiki Azuma3

  • 1Department of Rehabilitation, Keiju Kanazawa Hospital, Kanazawa, JPN.

Cureus
|January 26, 2026
PubMed
概括

一个新的人工智能驱动的无标记运动捕捉系统 (SPLYZA Motion) 证明了步态分析的高准确性和可靠性. 这种基于智能手机的系统为临床和研究环境提供了一种实用且具有成本效益的替代传统方法.

关键词:
人工智能的人工智能是人工智能.生物力学 生物力学步态分析 步态分析惯性测量单位是一种惯性测量单位.下肢动力学 下肢动力学没有标记的移动捕捉.运动范围的范围的范围.可靠性的可靠性智能手机应用程序 智能手机应用程序的有效性有效性.

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