Exploring Reliability of TEA CAPTIV Motion Capture Suit for a Virtual Reality Workplace Ergonomic Design

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F23%3A43966710" target="_blank" >RIV/49777513:23210/23:43966710 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-031-19560-0_69" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-19560-0_69</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-19560-0_69" target="_blank" >10.1007/978-3-031-19560-0_69</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Exploring Reliability of TEA CAPTIV Motion Capture Suit for a Virtual Reality Workplace Ergonomic Design

Popis výsledku v původním jazyce

Occupational diseases and specifically musculoskeletal disorders are great issues even in modern factories. Consequences (i.e. occupational diseases or generally lower worker performance) cost a lot of financial and mental funds of employees and employers. The correct way is the prevention using ergonomic analyses of workplaces. We have developed a unique methodological base using modern technologies for an effective and efficient way for quick and precise validation of a particular workplace. The procedure can also be used for employee training. We involve virtual reality (next VR) headset, motion capture, and self-developed VR software (next SW). The validation can be also performed for a virtual (artificial) workplace, thus the proposed technological framework can be used also for learning purposed. We have also proposed a method of validation. We have limited the original research on a representative assembly station and the use of the Perception Neuron suit. This paper extends the original paper. In this research, we are using a different motion capture suit TEA CAPTIV in the scope of the same experimental methods, conditions, and limitations as in the original study. The result is extrapolated to the scope of the full working shift and then compared with the original results.Using of a different Motion Capture suit is reliable, but there are aspects that still needs deeper research. The process of measuring and software processing differs. Those issues are discussed in the paper.

Název v anglickém jazyce

Exploring Reliability of TEA CAPTIV Motion Capture Suit for a Virtual Reality Workplace Ergonomic Design

Popis výsledku anglicky

Occupational diseases and specifically musculoskeletal disorders are great issues even in modern factories. Consequences (i.e. occupational diseases or generally lower worker performance) cost a lot of financial and mental funds of employees and employers. The correct way is the prevention using ergonomic analyses of workplaces. We have developed a unique methodological base using modern technologies for an effective and efficient way for quick and precise validation of a particular workplace. The procedure can also be used for employee training. We involve virtual reality (next VR) headset, motion capture, and self-developed VR software (next SW). The validation can be also performed for a virtual (artificial) workplace, thus the proposed technological framework can be used also for learning purposed. We have also proposed a method of validation. We have limited the original research on a representative assembly station and the use of the Perception Neuron suit. This paper extends the original paper. In this research, we are using a different motion capture suit TEA CAPTIV in the scope of the same experimental methods, conditions, and limitations as in the original study. The result is extrapolated to the scope of the full working shift and then compared with the original results.Using of a different Motion Capture suit is reliable, but there are aspects that still needs deeper research. The process of measuring and software processing differs. Those issues are discussed in the paper.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20301 - Mechanical engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Research and Innovation Forum 2022. Springer Proceedings in Complexity

ISBN

978-3-031-19559-4

ISSN

2213-8684

e-ISSN

2213-8692

Počet stran výsledku

10

Strana od-do

809-818

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Athens

Datum konání akce

20. 4. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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