Comparative Analysis of Biomechanical Variables in Marker-based and Markerless Motion Capture Systems

D. I. Guseinov
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Abstract

Motion capture systems are a key tool for performing quantitative analysis and evaluation of complex in movements sports. The prospect of the development and practical application of markerless motion capture tecnology in applied biomechanics increases research interest regarding the features of using such systems, as well as evaluat ing their accuracy and reliability in comparison with marker-based motion capture systems, which are the gold standard nowadays. Markerless motion capture systems have incomparable advantages over marker-based ones.In particular, significantly reduced time costs for the registration and data processing procedures, since registration is represented by filming a video from different angles, and processing is accompanied by the use of software algorithms for tracking the silhouette of an athlete using a presetted computer avatar. However, there is still no clear answer regarding the accuracy and reliability of the data recorded using markerless motion capture systems in relation to specific sports movements. Thus, the purpose of the presented work is to assess the statistical relationship of the data based on the correlation analysis of biomechanical variables on the example of a golf swing recorded using the Qualisys motion capture system and Simi Reality Motion markerless motion capture system.
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基于标记和无标记运动捕捉系统生物力学变量的比较分析
运动捕捉系统是对复杂运动进行定量分析和评估的关键工具。无标记运动捕捉技术在应用生物力学中的发展和实际应用前景增加了人们对使用此类系统的特点的研究兴趣,并与当今的金标准——基于标记的运动捕捉系统相比,评估其准确性和可靠性。与基于标记的运动捕捉系统相比,无标记运动捕捉系统具有无与伦比的优势。特别地,显著降低了注册和数据处理过程的时间成本,因为注册是通过从不同角度拍摄视频来表示的,并且处理伴随着使用软件算法来使用预先设置的计算机化身来跟踪运动员的轮廓。然而,对于使用无标记运动捕捉系统记录的与特定运动相关的数据的准确性和可靠性,仍然没有明确的答案。因此,本工作的目的是基于使用Qualisys运动捕捉系统和Simi-Reality无标记运动捕捉系统记录的高尔夫挥杆示例的生物力学变量的相关性分析,评估数据的统计关系。
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审稿时长
8 weeks
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