Assessing limited visibility feedback for overhead manufacturing assembly tasks.

Borescope Musculoskeletal disorders Omnidirectional camera Telescopic mirror Visibility modalities

Journal

Applied ergonomics
ISSN: 1872-9126
Titre abrégé: Appl Ergon
Pays: England
ID NLM: 0261412

Informations de publication

Date de publication:
Nov 2021
Historique:
received: 07 04 2021
revised: 06 07 2021
accepted: 08 07 2021
pubmed: 18 7 2021
medline: 25 8 2021
entrez: 17 7 2021
Statut: ppublish

Résumé

Worker posture, task time and performance are often affected when one-handed manual dexterous tasks are performed in small overhead spaces under an obscured view. A common method used for supplementing visual feedback in these cases is a hand-held telescopic mirror, but that involves working with both arms extended overhead, and is often accompanied by awkward neck and shoulder postures. A video camera was considered as an alternative to using a mirror for visual feedback and reducing overhead reach. A mirror, a borescope and an omnidirectional camera were evaluated while laboratory participants performed three one-handed simulated manufacturing tasks in a small overhead enclosure. Videos were recorded for quantifying the time that postures were assumed while performing the tasks. The average time that both arms were above mid-shoulder height for the omnidirectional camera was more than 2.5 times less than for the mirror and borescope. The average proportion of neck strain time was 0.01% (or less) for both the omnidirectional camera and the borescope, compared to 83.68% for the mirror. No significant differences were observed in task completion times between the three modalities. Hence, an omnidirectional camera can provide visibility while reducing straining postures for manufacturing operations involving overhead work.

Identifiants

pubmed: 34273816
pii: S0003-6870(21)00178-2
doi: 10.1016/j.apergo.2021.103531
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103531

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Prajna Bhat (P)

Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI, USA.

Emmanuel Senft (E)

Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI, USA.

Michael Zinn (M)

Department of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, USA; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.

Michael Gleicher (M)

Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI, USA.

Bilge Mutlu (B)

Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI, USA.

Rebecca Cook (R)

Boeing Research and Technology, The Boeing Company, North Charleston, SC, USA.

Robert G Radwin (RG)

Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA. Electronic address: rradwin@wisc.edu.

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