20.500.12556/DKUM-94321 Evaluation of the EAWS ergonomic analysis on the assembly line: xsens vs. manual expert method—a case study This study investigates the effectiveness of the Xsens motion capture system in performing ergonomic analysis compared to traditional manual assessments by experts in the specific environment of assembly lines. A comprehensive literature review emphasizes the need to investigate the reliability of new, promising high-tech systems. The main objective was therefore to compare the Ergonomic Assessment Worksheet (EAWS) assessment approach performed with Xsens motion capture technology and Process Simulate V16 software with the manual method using EAWS digital prepared by experts in the controlled workflow. The greatest value of the research conducted lies in the novel integration of the state-of-theart Xsens motion capture technology with the Process Simulate V16 software environment and the use of the licensed EAWS ergonomic method and Methods-Time Measurement Universal Analyzing System (MTM-UAS). The results are presented in the form of a case study. The results show a large similarity between the whole-body results and a large difference in the upper limb results, confirming the initial benefits of the Xsens equipment but also pointing to the need to verify its reliability on larger samples. The study highlights the potential of integrating Xsens motion capture data into ergonomic assessments and tuning of the assembly line to increase productivity and worker safety. Xsens motion capture EWAS ergonomic analysis reliability zajem gibanja ergonomska analiza zanesljivost true false true MDPI Angleški jezik Slovenski jezik https://www.mdpi.com/1424-8220/25/15/4564 Članek v reviji 2025-08-13 13:56:54 2025-08-13 13:56:56 2025-08-14 03:30:09 0000-00-00 00:00:00 2025 0 0 18 str. iss. 15, [article no.] 4564 Vol. 25 July 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2025-04-23 2025-07-21 2025-07-23 658.5.331.1 245035523 10.3390/s25154564 1424-8220 sensors-25-04564-v2_(1).pdf sensors-25-04564-v2_(1).pdf 1 07D10A6AA777B152CF160AB8475B32D3 41f71dced36d1e2d4ecfe0409691b819729d59a2d78f239efcdb1252ef325099 f2e3bb65-783c-11f0-a457-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=195234 https://www.mdpi.com/1424-8220/25/15/4564 0 fb305e11-783c-11f0-a457-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=195235 Fakulteta za strojništvo 0 0 0