Motion pose Machine Learning

The project collaborates with Purdue’s VIP research team to develop an interactive system that performs motion tracking and allows users to customize their own art through a dedicated interface. Using a Raspberry Pi 5 connected to the Raspberry Pi AI Camera and the AI Hat Top 26+, the system processes captured video and identifies objects for motion tracking. It detects human skeletons and joint positions on a 2D grid, then sends the joint-coordinate data to another device running Isadora—an art application that enables artists to generate and customize visual animations using the transmitted motion data.