Enhancing workplace safety and ergonomics with motion capture systems: Present state and a case study

A motion capture system (MoCap) records and tracks the real-time movements of objects or people, generating data that can also be used for ergonomic analysis. Using specialised cameras and sensors, these systems translate movements into digital data that can animate figures or objects in a digital environment. While they are widely used in industries such as film, video games, sports, virtual reality and biomechanics, MoCap systems can also be used in the ergonomic design of workplaces. These systems allow researchers to analyse human movements, identify risks such as repetitive movements, awkward postures or excessive forces and develop solutions to improve safety, comfort and performance. The collected data helps to optimise workplace design, products and processes, reduce musculoskeletal disorders and improve well-being. Recent advancements have made motion capture systems highly sophisticated and capable of recognising subtle movements and expressions with exceptional precision. This paper consists of two parts: a concise literature review and a case study. The literature review explores the application of advanced human motion capture technologies in manufacturing and highlights their potential for ergonomic improvements. The case study illustrates these applications and provides practical insights into how motion capture can transform the design and functionality of workplaces.

Authors

Publication Details

Journal
Advances in Production Engineering & Management
Published
2024-10-31
DOI
https://doi.org/10.14743/apem2024.3.510
Citations
2
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
1.29

Funders

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article

Enhancing workplace safety and ergonomics with motion capture systems: Present state and a case study

Borut Buchmeister, Nataša Vujica Herzog, O. Kaya, P. Jaehyun
2 citations
Advances in Production Engineering & Management
Human-Automation Interaction and Safety
1.29
article

Enhancing workplace safety and ergonomics with motion capture systems: Present state and a case study

Borut Buchmeister, Nataša Vujica Herzog, O. Kaya, P. Jaehyun
article en
2 citations

Abstract

A motion capture system (MoCap) records and tracks the real-time movements of objects or people, generating data that can also be used for ergonomic analysis. Using specialised cameras and sensors, these systems translate movements into digital data that can animate figures or objects in a digital environment. While they are widely used in industries such as film, video games, sports, virtual reality and biomechanics, MoCap systems can also be used in the ergonomic design of workplaces. These systems allow researchers to analyse human movements, identify risks such as repetitive movements, awkward postures or excessive forces and develop solutions to improve safety, comfort and performance. The collected data helps to optimise workplace design, products and processes, reduce musculoskeletal disorders and improve well-being. Recent advancements have made motion capture systems highly sophisticated and capable of recognising subtle movements and expressions with exceptional precision. This paper consists of two parts: a concise literature review and a case study. The literature review explores the application of advanced human motion capture technologies in manufacturing and highlights their potential for ergonomic improvements. The case study illustrates these applications and provides practical insights into how motion capture can transform the design and functionality of workplaces.

Advances in Production Engineering & ManagementVol. 19(3)
European Commission, Javna Agencija za Raziskovalno Dejavnost RS, European Regional Development Fund
Openalex Percentile: Top 17%
Human-Automation Interaction and Safety
1.29
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Enhancing workplace safety and ergonomics with motion capture systems: Present state and a case study — Borut Buchmeister, Nataša Vujica Herzog, et al. · Advances in Production Engineering & Management (2024) | TGRS Research Map | TGRS