Development of the Real-time Lifting Assessment tool based on Computer Vision

NIOSH升降方程（RNLE）是最广泛使用的观察工具，用于评估与工作场所升降任务相关的腰痛风险。尽管RNLE具有成本效益，但处理和分析结果数据非常耗时。此外，由于今天的手工材料搬运工作已经从单一任务发展到多个和不同的任务，因此不可能通过RNLE的单一应用来检测腰痛的风险因素。因此，拟议的国际合作的目的是开发一个强大的、非侵入性的、直接的、基于计算机视觉的RNLE评估工具，以便构建一个提升评估，在长时间内进行分析。我们期待这个项目的成果将在改善加拿大和韩国的生活和工作条件方面发挥越来越重要的作用。

NIOSH lifting equation (RNLE) is the most widely used observational tool to assess the risk of low back pain associated with lifting and lowering tasks in the workplace. Although the RNLE is cost effective, it is time consuming to process and analyze the resulting data. Moreover, it is impossible to detect the risk factors of low back pain via a single application of the RNLE due to the fact that today's manual material handling jobs have evolved from single tasks to multiple and varying tasks. Thus, the purpose of the proposed international collaboration is to develop a robust, non-intrusive, straightforward, computer vision based RNLE assessment tool in order to construct a lifting assessment that performs analyses over prolonged periods. We expect that the result of this project will play an increasingly important role in the improvement of living and working conditions in Canada and Korea.