Abstract

The thesis titled "Enhancing Locational Stability in Motion Capture: Development and Comparative Analysis of Calibration Techniques" explores the development and evaluation of various calibration techniques aimed at enhancing the locational stability in motion capture systems, with a focus on the Rokoko Smartsuit Pro 2 motion capture suit. This work addresses the critical challenge of locational drift, which significantly affects the accuracy and reliability of data capture in inertial motion capture systems. A mixed-method approach, combining experimental, quantitative, and qualitative method- ologies, is employed to assess the effectiveness of different calibration strategies. The experimental setup includes multiple motion capture technologies such as the Rokoko Smartsuit Pro 2, Smartgloves, and the innovative Rokoko Coil Pro, which are used to collect comprehensive data across various tests, including Idle Drift Test, Hand Movement Test, and Full Set Test. This thesis systematically compares traditional time-based calibration methods with advanced error-based approaches to determine which technique most effectively identifies locational drift and enhances the fidelity of motion capture data. The findings significantly contribute to the motion capture technology field, with potential applications in animation, virtual reality, and biomechanics. This work not only advances the understanding of calibration in motion capture but also opens avenues for future technological enhancements in this dynamic field.

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