Literature DB >> 31422255

Ergonomics assessment methods used by ergonomics professionals.

Brian D Lowe1, Patrick G Dempsey2, Evan M Jones2.   

Abstract

A web-based survey was conducted of ergonomics practitioners holding certifications in the U.S., Canada, Great Britain, Australia, and New Zealand. The survey follows 12 years after an earlier initial survey reported by Dempsey et al. (2005). Approximately 1221 eligible participants were invited by e-mail to participate, and 405 surveys were included in the final analysis. The survey queried use of basic instruments relevant to ergonomic practice as well as more specific analytical tools such as observational techniques for assessing postural demands of work and instrumentation for direct measurement of such demands. Some ergonomic assessment methods appear to have increased in their overall use by U.S. ergonomists compared to 2005 data. This was observed for: RULA, REBA, Psychophysical Upper Extremity Data, Strain Index, and ACGIH TLV for Hand Activity Level. There is minimal evidence of increased overall use of direct measurement approaches in the U.S. There appear to be geographic differences between countries/continents in terms of use of various methods. The use of mobile device/smart phone "apps" by ergonomists was queried and these technologies presently appear to be in early adoption phase with 24-28% of practitioners reporting use of an app in their ergonomics practice. Published by Elsevier Ltd.

Entities:  

Keywords:  Certification; Ergonomics; Musculoskeletal disorders

Mesh:

Year:  2019        PMID: 31422255     DOI: 10.1016/j.apergo.2019.102882

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  7 in total

Review 1.  Systematic Comparison of OWAS, RULA, and REBA Based on a Literature Review.

Authors:  Dohyung Kee
Journal:  Int J Environ Res Public Health       Date:  2022-01-05       Impact factor: 3.390

2.  Comparison of LEBA and RULA Based on Postural Load Criteria and Epidemiological Data on Musculoskeletal Disorders.

Authors:  Dohyung Kee
Journal:  Int J Environ Res Public Health       Date:  2022-03-26       Impact factor: 3.390

3.  A Work-Related Musculoskeletal Disorders (WMSDs) Risk-Assessment System Using a Single-View Pose Estimation Model.

Authors:  Young-Jin Kwon; Do-Hyun Kim; Byung-Chang Son; Kyoung-Ho Choi; Sungbok Kwak; Taehong Kim
Journal:  Int J Environ Res Public Health       Date:  2022-08-09       Impact factor: 4.614

4.  Automatic Ergonomic Risk Assessment Using a Variational Deep Network Architecture.

Authors:  Theocharis Chatzis; Dimitrios Konstantinidis; Kosmas Dimitropoulos
Journal:  Sensors (Basel)       Date:  2022-08-12       Impact factor: 3.847

5.  An Evaluation of Motion Trackers with Virtual Reality Sensor Technology in Comparison to a Marker-Based Motion Capture System Based on Joint Angles for Ergonomic Risk Assessment.

Authors:  Jan P Vox; Anika Weber; Karen Insa Wolf; Krzysztof Izdebski; Thomas Schüler; Peter König; Frank Wallhoff; Daniel Friemert
Journal:  Sensors (Basel)       Date:  2021-05-01       Impact factor: 3.576

6.  A Wearable Sensor System for Physical Ergonomics Interventions Using Haptic Feedback.

Authors:  Carl Mikael Lind; Jose Antonio Diaz-Olivares; Kaj Lindecrantz; Jörgen Eklund
Journal:  Sensors (Basel)       Date:  2020-10-23       Impact factor: 3.576

7.  Accuracy Assessment of Joint Angles Estimated from 2D and 3D Camera Measurements.

Authors:  Izaak Van Crombrugge; Seppe Sels; Bart Ribbens; Gunther Steenackers; Rudi Penne; Steve Vanlanduit
Journal:  Sensors (Basel)       Date:  2022-02-23       Impact factor: 3.576

  7 in total

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