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ErgoExplorer:基于视频集的交互式人体工程学风险评估

ErgoExplorer: Interactive Ergonomic Risk Assessment from Video Collections.

作者信息

Fernandez Manlio Massiris, Rados Sanjin, Matkovic Kresimir, Groller M Eduard, Delrieux Claudio

出版信息

IEEE Trans Vis Comput Graph. 2023 Jan;29(1):43-52. doi: 10.1109/TVCG.2022.3209432. Epub 2022 Dec 16.

DOI:10.1109/TVCG.2022.3209432
PMID:36197852
Abstract

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.

摘要

由于人们的意识提高,如今人体工程学风险评估的开展频率比过去更高。基于专家辅助的工作场所观察和手动填写评分表的传统风险评估评估方法仍然占主导地位。数据分析通常侧重于关键时刻,尽管没有上下文信息和随时间变化的支持。在本文中,我们介绍了ErgoExplorer,这是一个用于风险评估数据交互式可视化分析的系统。与当前的做法不同,我们关注跨越多个动作和多个工人的数据,同时保留所有上下文信息。数据从视频流中自动提取。基于经过仔细研究的分析任务,我们引入了新的视图及其相应的交互方式。这些视图还纳入了特定领域的评分表,以确保领域专家易于采用。所有视图都集成到ErgoExplorer中,该工具依赖于协调的多个视图,通过交互来促进分析。ErgoExplorer首次使人们能够在跨越多个操作的长时间会话中检查各个身体部位风险评估之间的复杂关系。新引入的方法支持在多个详细程度级别上进行分析和探索,从总体概述到必要时检查视频流中的单个帧。我们通过将新提出的方法应用于几个数据集来说明其有用性。

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