Throughout this course, students will gain comprehensive knowledge on the various types of motion capture systems, their strengths and limitations, and how to implement them in a production environment. Additionally, students will explore various software packages for motion capture, and discover how to leverage them to produce highly realistic and nuanced animations. This course will also delve into advanced techniques for creating dynamic and captivating motion capture performances, giving students the ability to produce truly immersive and impactful visuals.

In the second week of this course, students will be taught the art of directing a successful and efficient motion capture shoot. We will delve into the crucial aspects of communication and collaboration amongst the director, actors, and crew, which are essential for the successful execution of a motion capture project. Additionally, we will explore post-production techniques and guide you on how to effectively utilize motion capture data to create a polished final product.

This week, students will gain expertise in the critical process of retargeting motion capture data to custom rigs. They will learn to recognize and circumvent common errors made in this stage of production, enhancing their ability to deliver high-quality animations.

Students will be instructed in production-ready workflows that enhance the quality and effectiveness of their motion capture results. This includes techniques and best practices for refining motion capture data, optimizing post-processing workflows, and maximizing the overall impact of motion capture in a production setting.

In this lesson, students will learn advanced techniques for refining their motion capture data and creating seamless looping animations. They will explore methods for smoothing out transitions and eliminating glitches, as well as best practices for creating looped animations that seamlessly repeat without any visible breaks or hiccups. By the end of the lesson, students will have a thorough understanding of how to take their motion capture animations to the next level and create polished, professional-looking content

In this week, students will explore AI-powered motion capture solutions and how they are changing the animation industry. Instead of using traditional marker-based mocap systems, students will experiment with cloud-based AI mocap tools (Move.ai, Plask, RADiCAL, DeepMotion) and mobile-based AI mocap solutions (Rokoko Vision).

Students will record motion using AI-based tools, analyze the strengths and weaknesses of AI mocap, and learn cleanup techniques to refine AI-generated motion for animation pipelines.

By the end of this week, students will submit a short AI mocap animation, demonstrating their ability to capture, clean, and refine AI-generated motion. Personalized feedback will be provided, and students who complete the final project will receive a certificate of completion, showcasing their ability to apply AI-driven motion capture techniques in real-world scenarios.

In this session, students will have the opportunity to ask questions, get feedback on their AI mocap animations, and discuss industry applications of AI-driven motion capture.

The instructor will review submissions, provide individual feedback on motion quality and cleanup, and discuss best practices for integrating AI mocap into professional workflows.

This session will also cover how AI mocap is evolving, how it fits into the future of animation, game development, and virtual production, and how students can stay ahead of industry trends.