Markerless motion capture: What clinician-scientists need to know right now

JSAMS plus Pub Date : 2022-10-01 DOI:10.1016/j.jsampl.2022.100001

Naoaki Ito , Haraldur B. Sigurðsson , Kayla D. Seymore , Elanna K. Arhos , Thomas S. Buchanan , Lynn Snyder-Mackler , Karin Grävare Silbernagel

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引用次数: 3

Abstract

Markerless motion capture (mocap) could be the future of motion analysis. The purpose of this report was to describe our team of clinicians and scientists’ exploration of markerless mocap (Theia 3D) and share data for others to explore (link: https://osf.io/6vh7z/?view_only=c0e00984e94a48f28c8d987a2127339d). Simultaneous mocap was performed using markerless and marker-based systems for walking, squatting, and forward hopping. Segment lengths were more variable between trials using markerless mocap compared to marker-based mocap. Sagittal plane angles were most comparable between systems at the knee joint followed by the ankle and hip. Frontal and transverse plane angles were not comparable between systems. The data collection experience using markerless mocap was simpler, faster, and user friendly. The ease of collection was in part offset by the added data transfer and processing times, and the lack of troubleshooting flexibility. If used selectively with proper understanding of limitations, markerless mocap can be exciting technology to advance the field of motion analysis.

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无标记动作捕捉:临床科学家现在需要知道的

无标记动作捕捉(mocap)可能是运动分析的未来。本报告的目的是描述我们的临床医生和科学家团队对无标记动作捕捉(Theia 3D)的探索，并分享数据供其他人探索(链接:https://osf.io/6vh7z/?view_only=c0e00984e94a48f28c8d987a2127339d)。同时使用无标记和基于标记的系统对行走、下蹲和向前跳跃进行动作捕捉。与基于标记的动作捕捉相比，使用无标记动作捕捉的片段长度在试验之间变化更大。矢状面角度在膝关节系统之间最具可比性，其次是踝关节和髋关节。系统之间的正面和横向角度不具有可比性。使用无标记动作捕捉的数据收集体验更简单、更快、用户友好。收集的便利性部分被增加的数据传输和处理时间以及缺乏故障排除灵活性所抵消。如果有选择地使用并正确理解局限性，无标记动作捕捉可以成为推动运动分析领域的令人兴奋的技术。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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