Ergonomic risk assessment is now, due to an increased awareness, carried out more often than in the past. The conventional risk assessment evaluation, based on expert-assisted observation of the workplaces and manually filling in score tables, is still predominant. Data analysis is usually done with a focus on critical moments, although without the support of contextual information and changes over time. In this paper we introduce ErgoExplorer, a system for the interactive visual analysis of risk assessment data. In contrast to the current practice, we focus on data that span across multiple actions and multiple workers while keeping all contextual information. Data is automatically extracted from video streams. Based on carefully investigated analysis tasks, we introduce new views and their corresponding interactions. These views also incorporate domain-specific score tables to guarantee an easy adoption by domain experts. All views are integrated into ErgoExplorer, which relies on coordinated multiple views to facilitate analysis through interaction. ErgoExplorer makes it possible for the first time to examine complex relationships between risk assessments of individual body parts over long sessions that span multiple operations. The newly introduced approach supports analysis and exploration at several levels of detail, ranging from a general overview, down to inspecting individual frames in the video stream, if necessary. We illustrate the usefulness of the newly proposed approach applying it to several datasets.
翻译:常规风险评估评估基于对工作场所进行专家协助的观察,并人工填写得分表,其评价仍然占主导地位。数据分析通常以关键时刻为重点,尽管没有背景信息和时间变化的支持。在本文件中,我们介绍ErgoExprotorer,这是一个对风险评估数据进行互动式直观分析的系统。与目前的做法相反,我们侧重于跨多种行动和多工作人员的数据,同时保存所有背景信息。数据从视频流中自动提取。根据认真调查的分析任务,我们引入新的观点及其相应的互动。这些观点还包含具体领域的得分表,以保证域专家容易采用。所有观点都被纳入ErgoExplorer,它依赖协调的多种观点,以便利通过互动进行分析。ErgoExplorer首次能够审查跨多种业务的长期会议对个体部分进行风险评估之间的复杂关系。新采用的方法支持从一般概览到新版本的单个框架的分析和探索。如果在视频流中采用一些新的实用性数据,我们则说明如何使用。