Inertial Measurement Units (IMUs) are widely used in biomechanics, robotics, and wearable technologies for motion tracking but are limited by sensor drift, placement errors, and synchronization delays. In contrast, Motion Capture (MoCap) systems provide precise motion tracking but are constrained to controlled environments. This study presents a methodology to emulate IMU data using MoCap systems. The results showed that MoCap systems effectively emulate IMU behavior, particularly for primary rotational movements, while discrepancies in angular components during longitudinal movements were attributed to friction. In random movements, where no controlled rotations or translations were followed, certain discrepancies were observed despite achieving a low Normalized Mean Squared Error (NMSE). This approach highlights the potential of MoCap systems as a benchmark for validating IMU sensor outputs and developing motion analysis algorithms.