@inproceedings{PB-VRVis-2022-033,
author = {Fern{\'a}ndez, Manlio Massiris and Radoš, Sanjin and Matkovi{\'c}, Kresimir and Gr{\"o}ller, Eduard and Delrieux, Claudio},
title = {ErgoExplorer: Interactive Ergonomic Risk Assessment from Video Collections},
year = {2022},
booktitle = {IEEE VIS 2022 and TVCG},
editor = {n.n.},
doi = {10.1109/TVCG.2022.3209432},
url = {https://www.vrvis.at/publications/PB-VRVis-2022-033},
publisher = {IEEE},
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.},
keywords = {ergonomic assessment, workplace safety, visual analysis},
}