Overview >
Motion Painting is a real-time interactive artwork that visualizes bodily movement as generative particle compositions. A webcam captures subtle motion, which is translated into dynamic particle systems that swirl, drift, and react across a projected frame. Every viewer becomes an active agent in the creation process—each gesture triggering colorful turbulence in an otherwise quiet field.
Inspiration >
The work draws conceptual and aesthetic inspiration from Refik Anadol’s Unsupervised (MoMA, 2023), where machine learning models created mesmerizing data-driven animations. Yet while Anadol’s work leans on opaque technologies and pre-rendered sequences, Motion Painting foregrounds accessibility and transparency. It invites curiosity not only in its visuals but also in how the system works—and how others might recreate or remix it.
future steps >
This project represents an early but critical step in my exploration of digital materiality and open-source methods for real-time generative art. Future iterations aim to incorporate depth sensors, custom-trained ML models, and alternative real-time environments such as TouchDesigner.