ErgoExplorer: Interactive Ergonomic Risk Assessment from Video Collections

Information

• Publication Type: Journal Paper (without talk)
• Workgroup(s)/Project(s): not specified
• Date: October 2022
• DOI: 10.1109/TVCG.2022.3209432
• ISSN: 1941-0506
• Journal: IEEE Transactions on Visualization and Computer Graphics
• Number: 1
• Open Access: yes
• Pages: 10
• Volume: 29
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Pages: 43 – 52
• Keywords: Ergonomic assessment, visual analysis, workplace safety

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.

Additional Files and Images

Weblinks

• Entry in reposiTUm (TU Wien Publication Database)
• DOI: 10.1109/TVCG.2022.3209432

BibTeX

@article{fernandez-2022-ergoexplorer,
  title =      "ErgoExplorer: Interactive Ergonomic Risk Assessment from
               Video Collections",
  author =     "Manlio Massiris Fernandez and Sanjin Rados and Kresimir
               Matkovic and Eduard Gr\"{o}ller and Claudio Delrieux",
  year =       "2022",
  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.",
  month =      oct,
  doi =        "10.1109/TVCG.2022.3209432",
  issn =       "1941-0506",
  journal =    "IEEE Transactions on Visualization and Computer Graphics",
  number =     "1",
  pages =      "10",
  volume =     "29",
  publisher =  "Institute of Electrical and Electronics Engineers (IEEE)",
  pages =      "43--52",
  keywords =   "Ergonomic assessment, visual analysis, workplace safety",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2022/fernandez-2022-ergoexplorer/",
}