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Towards gestured-based technologies for human-centred smart factories

  • Despite the increasing degree of automation in industry, manual or semi-automated are commonly and inevitable for complex assembly tasks. The transformation to smart processes in manufacturing leads to a higher deployment of data-driven approaches to support the worker. Upcoming technologies in this context are oftentimes based on the gesture-recognition, − monitoring or – control. This contribution systematically reviews gesture or motion capturing technologies and the utilization of gesture data in the ergonomic assessment, gesture-based robot control strategies as well as the identification of COVID-19 symptoms. Subsequently, two applications are presented in detail. First, a holistic human-centric optimization method for line-balancing using a novel indicator – ErgoTakt – derived by motion capturing. ErgoTakt improves the legacy takt-time and helps to find an optimum between the ergonomic evaluation of an assembly station and the takt-time balancing. An optimization algorithm is developed to find the best-fitting solution by minimizing a function of the ergonomic RULA-score and the cycle time of each assembly workstation with respect to the workers’ ability. The second application is gesture-based robot-control. A cloud-based approach utilizing a generally accessible hand-tracking model embedded in a low-code IoT programming environment is shown.

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Metadaten
Author:Jan Schmitt, Bastian Engelmann, Vito Modesto Manghisi, Markus Wilhelm, Antonello Uva, Michele Fiorentino
Persistent identifier:https://doi.org/10.1080/0951192X.2022.2121424
ISSN:1362-3052
Parent Title (English):International Journal of Computer Integrated Manufacturing
Document Type:Article
Language:English
Date of first Publication:2023/02/22
Publishing Institution:Hochschule für Angewandte Wissenschaften Würzburg-Schweinfurt
Release Date:2023/02/22
Tag:gesture-based control; gesture-based monitoring; manufacturing
Volume:36
Issue:1
Pages/Size:18
First Page:110
Last Page:127
Institutes and faculty:Fakultäten / Fakultät Wirtschaftsingenieurwesen
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 67 Industrielle Fertigung / 670 Industrielle Fertigung
Regensburger Klassifikation:Technik
Open access colour:Gold
Licence (German):License LogoCreative Commons - CC BY-ND - Namensnennung - Keine Bearbeitungen 4.0 International
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