Dynamic biomechanical analysis for construction tasks using motion data from vision-based motion capture approaches

Joonoh Seo, Richmond Starbuck, Sanguk Han, Sang Hyun Lee, Thomas J. Armstrong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

In the labor-intensive construction industry, workers are frequently exposed to manual handling tasks involving forceful exertions and awkward postures. As a result, construction workers are at about a 16 percent higher risk of work-related musculoskeletal disorders (WMSDs) than workers in other industries. A biomechanical model-based musculoskeletal stress analysis is one of the widely used methods to identify the risk of WMSDs during occupational tasks. However, the use of biomechanical analysis has been limited to only laboratory experiments due to the difficulty of collecting motion data required for biomechanical models under real conditions. To reflect postural variations when performing construction tasks, an effective and easily accessible mean that enables us to conduct biomechanical analysis under real conditions is required. To address this issue, we propose a motion-data-driven biomechanical analysis by enabling automatic processes to convert motion data from vision-based motion capture into available data for representing motions in biomechanical analysis tools. We conduct a case study on masonry work to determine the feasibility of the proposed method. The results show that the proposed approach has the potential to assess an individual's motions and to provide personalized feedback for the purpose of reducing biomechanical loads and WMSD risk in real workplaces.
Original languageEnglish
Title of host publicationComputing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering
PublisherAmerican Society of Civil Engineers (ASCE)
Pages1005-1012
Number of pages8
ISBN (Electronic)9780784413616
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event2014 International Conference on Computing in Civil and Building Engineering - Orlando, United States
Duration: 23 Jun 201425 Jun 2014

Conference

Conference2014 International Conference on Computing in Civil and Building Engineering
CountryUnited States
CityOrlando
Period23/06/1425/06/14

ASJC Scopus subject areas

  • Computer Science Applications
  • Civil and Structural Engineering
  • Building and Construction

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