Crowd-driven music: Interactive and generative approaches using machine vision and Manhattan (2020)
Conference Proceeding
Nash, C. (2020). Crowd-driven music: Interactive and generative approaches using machine vision and Manhattan. In F. Schroeder, & R. Michon (Eds.), Proceedings of the International Conference on New Interfaces for Musical Expression (259-264)

This paper details technologies and artistic approaches to crowd-driven music, discussed in the context of a live public installation in which activity in a public space (e.g. a busy railway platform) is used to drive the automated composition and pe... Read More about Crowd-driven music: Interactive and generative approaches using machine vision and Manhattan.

Track by track: Generative music installation for BBC Music Day
Digital Artefact
Nash, C. (2018). Track by track: Generative music installation for BBC Music Day

A crowd-driven generative music installation at Bristol Temple Meads Station, for BBC Music Day 2018. A live camera feed of the platform is used with machine learning/vision analysis to identify positions and disposition of people, trains, bicycles,... Read More about Track by track: Generative music installation for BBC Music Day.