This paper explores the integration of motion capturing (mocap) technologies within Learning Factory (LF) environments, focusing on their application in ergonomic assessment. This study employed both optical and inertial mocap systems to record and analyze the movements of workers in a simulated manufacturing scenario. The collected data was used to compute ergonomic scores, aiming to enhance worker well-being in performing manufacturing tasks. A comparison between optical marker-less and inertial mocap systems was conducted, assessing factors such as intrusiveness, setup complexity, technical effort, and ergonomic scores. To further extend the existing LF, a new and heavier product, a battery pack, was introduced to simulate more demanding manufacturing tasks. This study provides valuable insights into the role of mocap technologies in improving worker ergonomics and enhancing the realism of LF scenarios.