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

dc.contributor.authorKrákora, David
dc.contributor.authorKubr, Jan
dc.contributor.authorHořejší, Petr
dc.contributor.authorKačerová, Ilona
dc.contributor.authorBureš, Marek
dc.date.accessioned2025-06-20T08:29:09Z
dc.date.available2025-06-20T08:29:09Z
dc.date.issued2023
dc.date.updated2025-06-20T08:29:09Z
dc.description.abstractOccupational 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.en
dc.format10
dc.identifier.doi10.1007/978-3-031-19560-0_69
dc.identifier.isbn978-3-031-19559-4
dc.identifier.issn2213-8684
dc.identifier.obd43937710
dc.identifier.orcidKrákora, David 0000-0002-7575-6166
dc.identifier.orcidKubr, Jan 0009-0009-9544-1207
dc.identifier.orcidHořejší, Petr 0000-0002-5810-2494
dc.identifier.orcidKačerová, Ilona 0000-0001-5739-6120
dc.identifier.orcidBureš, Marek 0000-0001-9821-4442
dc.identifier.urihttp://hdl.handle.net/11025/59964
dc.language.isoen
dc.project.IDSGS-2021-028
dc.publisherSpringer
dc.relation.ispartofseriesResearch and Innovation Forum, Rii Forum 2022
dc.subjectergonomicsen
dc.subjectmotion captureen
dc.subjectvirtual realityen
dc.subjectworkplaceen
dc.subjectlearningen
dc.titleExploring Reliability of TEA CAPTIV Motion Capture Suit for a Virtual Reality Workplace Ergonomic Designen
dc.typeStať ve sborníku (D)
dc.typeSTAŤ VE SBORNÍKU
dc.type.statusPublished Version
local.files.count1*
local.files.size425844*
local.has.filesyes*
local.identifier.eid2-s2.0-85151144317

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