Motion capture is a technique that records the movement of humans or objects and translates it into digital data. It is widely used in the entertainment industry for creating realistic animations for movies, games, and virtual reality. However, traditional motion capture systems require expensive hardware and specialized environments, which limit their accessibility and creativity. What if you could use artificial intelligence to generate motion capture animation without any hardware or motion data? In this course, you will learn how to do just that using MediaPipe and Tensorflow.js, two powerful frameworks for building machine learning pipelines for processing video and images

You will learn how to create real-time video effects using face, hand, and pose detection. Although this course will be taught using web technologies, you are welcome to explore other languages since the frameworks we will be covering are cross-platform. By the end of this course, you will learn how to use motion capture to design your own interactive experiences.

Prerequisites: