ErgoExplorer: Interactive Ergonomic Risk Assessment from Video Collections

Manlio Miguel Massiris Fernandez, Sanjin Rados, Eduard Gröller, Claudio Delrieux, Kresimir Matkovic

View presentation:2022-10-19T14:00:00ZGMT-0600Change your timezone on the schedule page
2022-10-19T14:00:00Z
Exemplar figure, described by caption below
Ergonomic risk assessment is now, due to an increased awareness, carried out more often than in the past. The conventional risk assessment evaluation is based on expert-assisted observation of the workplaces and manually filling in score tables. With ErgoExplorer it is possible to explore and analyze time dependent ergonomic scores from automatically recorded observations encompassing very long periods. A dashboard as used in one of the analysis sessions is shown here. Ergonomists can understand how to mitigate ergonomic risk by using coordinated multiple views: (a) ErgoView, (b) ErgoTimeline,(c) scatterplot matrix, and (d) parallel coordinates.

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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.