运动科学中运动分析的无标记测量技术

Yao Meng, I. Bíró, J. Sárosi
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引用次数: 2

摘要

介绍了无标记运动捕捉系统和x线透视作为两种无标记测量系统在运动生物力学领域的应用方法。概述了技术流程、数据准确性、建议的动作和建议的身体部位。无标记动作捕捉系统由相机、人体模型、图像特征和算法四部分组成。尽管无标记运动捕捉系统看起来很有前途,但目前尚不清楚这些系统是否可以达到所需的精度,以及它们是否可以适当地用于运动生物力学和临床研究。双翼透视技术通过采集、图像校正和处理对运动数据进行分析,可以有效地确定关节的微小运动变化和计算关节角度。由于实验条件的限制,该方法主要用于行走和跳跃运动的测量,主要检测下肢关节的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Markerless measurement techniques for motion analysis in sports science
Markerless motion capture system and X-ray fluoroscopy as two markerless measurement systems were introduced to the application method in sports biomechanical areas. An overview of the technological process, data accuracy, suggested movements, and recommended body parts were explained. The markerless motion capture system consists of four parts: camera, body model, image feature, and algorithms. Even though the markerless motion capture system seems promising, it is not yet known whether these systems can be used to achieve the required accuracy and whether they can be appropriately used in sports biomechanics and clinical research. The biplane fluoroscopy technique analyzes motion data by collecting, image calibrating, and processing, which is effective for determining small joint kinematic changes and calculating joint angles. The method was used to measure walking and jumping movements primarily because of the experimental conditions and mainly to detect the data of lower limb joints.
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