Musculoskeletal disorders are a major category of nonfatal work-related diseases in the industry. Therefore, various risk factor assessment methods, such as Rapid Upper Limb Assessment (RULA), were proposed for preventing musculoskeletal disorders in industrial environments. Nevertheless, RULA measurements based on workers' self-report or external rater observation are subjective and suffer from low repeatability. Thus, the objective of this paper is to investigate the accuracy and reliability of (1) a wearable technology (using inertial measurement units) and (2) a marker-less optical technology (using Kinect V2) for RULA risk assessment tool against motion-capture cameras (reference) for different manual material handling tasks. The obtained RULA scores were compared against the reference system using the proportion agreement index (Po) and Cohen's Kappa coefficient (κ). The wearable technology showed a “substantial” agreement (κ > 0.6) with the motion-capture cameras. The marker-less technology showed inconsistency in the agreement with the motion-capture cameras ranging from “fair” (κ < 0.4) to “moderate” (κ > 0.4) agreements, caused by both self-occlusion and object occlusion. Therefore, wearable technology showed to be more suitable than marker-less optical technology for in-field ergonomic risk assessment.

肌肉骨骼疾病是该行业中与非致命性工作有关的疾病的主要类别。因此，提出了各种风险因素评估方法，例如快速上肢评估（RULA），以防止工业环境中的肌肉骨骼疾病。然而，根据工人的自我报告或外部评估者观察得出的RULA测量值是主观的，并且重复性较低。因此，本文的目的是研究（1）可穿戴技术（使用惯性测量单元）和（2）无标记光学技术（使用Kinect V2）的RULA风险评估工具针对运动的准确性和可靠性。捕获相机（参考）以完成不同的手动物料处理任务。使用比例一致性指数（Po）和科恩Kappa系数（κ）将获得的RULA得分与参考系统进行比较。可穿戴技术与运动捕捉相机显示出“实质性”一致（κ> 0.6）。无标记技术与运动捕捉相机的协议不一致，这是由于自遮挡和物体遮挡引起的，范围从“一般”（κ<0.4）到“中度”（κ> 0.4）。因此，可穿戴技术比无标记光学技术更适合现场人体工学风险评估。无标记技术与运动捕捉相机的协议不一致，这是由于自遮挡和物体遮挡引起的，范围从“一般”（κ<0.4）到“中度”（κ> 0.4）。因此，可穿戴技术比无标记光学技术更适合现场人体工学风险评估。无标记技术与运动捕捉相机的协议不一致，这是由于自遮挡和物体遮挡引起的，范围从“一般”（κ<0.4）到“中度”（κ> 0.4）。因此，可穿戴技术比无标记光学技术更适合现场人体工学风险评估。