Introduction: Motion capture (MoCap) systems are indispensable tools in various fields such as animation, biomechanics, and virtual reality. A critical aspect of MoCap systems is the hardware design and control of multiple cameras to accurately capture and track motion in dynamic environments. This master's thesis project aims to develop a robust mechatronic design for a dynamic multi-camera system tailored for motion capture applications.
Objectives: The primary objectives of this thesis project are as follows:
- To design and fabricate a mechatronic system comprising multiple cameras capable of dynamic calibration and synchronization.
- To develop control algorithms for the coordinated movement and positioning of cameras in real-time to optimize motion capture quality.
- To evaluate the performance of the mechatronic system through experimentation, assessing factors such as accuracy, synchronization, and adaptability.
Research Questions: The research questions guiding this project include:
- What mechatronic components and design principles are essential for constructing a dynamic multi-camera system for motion capture?
- How can control algorithms be developed to coordinate the movement and synchronization of cameras in real-time?
- What factors influence the performance of the mechatronic system, and how do they affect motion capture accuracy and efficiency?
Methodology:
- Mechatronic Design:
- Selection and integration of cameras, motors, actuators, and sensors for the dynamic multi-camera system.
- Design and fabrication of mechanical structures and mounts to support and position the cameras.
- Implementation of communication interfaces and synchronization protocols for seamless integration of camera control.
- Control Algorithm Development:
- Design and implementation of control algorithms for camera movement, focusing on trajectory optimization/planning and synchronization.
- Incorporation of feedback mechanisms from sensors to ensure precise positioning and alignment of cameras.
- Optimization of control parameters for real-time performance and adaptability to changing environmental conditions.
- Experimental Evaluation:
- Conducting experiments to assess the performance of the mechatronic system in various motion capture scenarios.
- Quantitative analysis of motion capture data to evaluate accuracy, synchronization, and robustness of the system.
Expected Outcomes: Upon successful completion of this project, the expected outcomes include:
- A functional mechatronic system comprising multiple synchronized cameras for dynamic motion capture.
- Developed control algorithms enabling real-time coordination and movement of cameras for optimal motion capture performance.
- Experimental validation demonstrating the accuracy, synchronization, and adaptability of the mechatronic system for motion capture applications.
This project aims to contribute to the advancement of motion capture technology by focusing on the crucial aspects of hardware design and control in the development of dynamic multi-camera systems.