Ergonomics evaluation methods are typically used for assessing risks of work-related musculoskeletal disorders (WMSDs) and the physical well-being of workers. Traditionally, these methods rely on assessors observing workers performing tasks and assessing potential risks based on observational ergonomics evaluation methods like the Rapid Entire Body Assessment (REBA) and the Rapid Upper Limb Assessment (RULA). While observational methods provide a structured risk assessment framework, they often depend on subjective evaluations, leading to inconsistent assessments between different ergonomists. This study examines the application of motion capture technology to enhance the objectivity and efficiency of ergonomics evaluations and to enable the use of direct measurement ergonomics evaluation methods. The study was conducted at a medium-sized enterprise assembly station, where a worker's tasks were recorded using motion capture technology. The captured motions were input into the Digital Human Modelling (DHM) tool IPS IMMA, and ergonomic assessments were performed using RULA, REBA, and the Arm Force Field (AFF) method. The study followed a process comprising three main stages: data collection, data processing, and ergonomics evaluation. The recorded data were processed into XML format, imported into IPS IMMA, and exported to the Ergonomics in Production Platform (EPP) for RULA and REBA evaluations and to a script for AFF evaluations. The integration of these methods improved the precision and reliability of ergonomics assessments by replacing subjective estimates with direct measurements. The findings demonstrate the potential of combining motion capture with DHM tools to enhance ergonomics evaluation and support decision-making in workstation design and automation.