Institut of Technical Assistance Systems (ITAS), Jade University of Applied Sciences, Ofener Str. 16/19, 26121 Oldenburg, Germany.
Division Hearing, Speech and Audio Technology HSA, Fraunhofer Institute for Digital Media Technology IDMT, Marie-Curie-Str. 2, 26129 Oldenburg, Germany.
Sensors (Basel). 2021 May 1;21(9):3145. doi: 10.3390/s21093145.
The reproduction and simulation of workplaces, and the analysis of body postures during work processes, are parts of ergonomic risk assessments. A commercial virtual reality (VR) system offers the possibility to model complex work scenarios as virtual mock-ups and to evaluate their ergonomic designs by analyzing motion behavior while performing work processes. In this study a VR tracking sensor system (HTC Vive tracker) combined with an inverse kinematic model (Final IK) was compared with a marker-based optical motion capture system (Qualisys). Marker-based optical motion capture systems are considered the gold standard for motion analysis. Therefore, Qualisys was used as the ground truth in this study. The research question to be answered was how accurately the HTC Vive System combined with Final IK can measure joint angles used for ergonomic evaluation. Twenty-six subjects were observed simultaneously with both tracking systems while performing 20 defined movements. Sixteen joint angles were analyzed. Joint angle deviations between ±6∘ and ±42∘ were identified. These high deviations must be considered in ergonomic risk assessments when using a VR system. The results show that commercial low-budget tracking systems have the potential to map joint angles. Nevertheless, substantial weaknesses and inaccuracies in some body regions must be taken into account. Recommendations are provided to improve tracking accuracy and avoid systematic errors.
工作场所的再现和模拟,以及工作过程中身体姿势的分析,都是人体工程学风险评估的一部分。商业虚拟现实 (VR) 系统提供了将复杂工作场景建模为虚拟模型的可能性,并通过分析执行工作过程中的运动行为来评估其人体工程学设计。在这项研究中,将 HTC Vive 跟踪传感器系统(HTC Vive 跟踪器)与基于标记的光学运动捕捉系统(Qualisys)相结合的逆运动学模型 (Final IK) 进行了比较。基于标记的光学运动捕捉系统被认为是运动分析的金标准。因此,在本研究中,Qualisys 被用作基准。要回答的研究问题是,HTC Vive 系统与 Final IK 相结合可以多准确地测量用于人体工程学评估的关节角度。26 名受试者在执行 20 个定义动作时同时使用这两个跟踪系统进行观察。分析了 16 个关节角度。确定了 ±6∘ 和 ±42∘ 之间的关节角度偏差。在使用 VR 系统进行人体工程学风险评估时,必须考虑这些高偏差。结果表明,商业低价跟踪系统有潜力映射关节角度。然而,在某些身体区域必须考虑到实质性的弱点和不准确性。提供了一些建议来提高跟踪精度并避免系统误差。