Automatic for the people: Crowd-driven generative scores using Manhattan and machine vision
(2021)
Presentation / Conference Contribution
This paper details a workshop and optional public installation based on the development of situational scores that combine music notation, AI, and code to create dynamic interactive art driven by the realtime movements of objects and people in a live... Read More about Automatic for the people: Crowd-driven generative scores using Manhattan and machine vision.