eyeCandy

Collaborative Visual Generation using Processing, Node, and OSC

View the Project on GitHub humanwireio/eyeCandy

what is it

example1

imagineā€¦

You're in a room with thirty other people. Your phone is in your hand and your browser is open to a website, as is every other person's. The exact page (selected from a root directory page) determines what part of a complex visual on the wall you are controlling. If you leave that page the pattern you were controlling before disappears and will be replaced by a new pattern once you navigate to a new page.

You can try it out right now on your computer!

donate

If you like what you see here, help me fund this puppy

types of interaction

Because processing and node have libraries galore, it's easy to add almost any type of interaction.

By default we use jquery-kontrol for xypads, sliders, knobs but any library that can be dropped in will work (think webcams, accelerometers, etc.)

how it works

The website you are accessing is being run on a node.js server, which in turn is sending open sound control (OSC) messages to a processing sketch telling it when you visit pages and interact with elements of the site. In response the processing sketch produces sweet visuals based on this information like this!

Because the OSC server (processing) can receive messages from anyone, multiple devices can control different, or the same elements of the visuals being generated. You're only limited by how many devices you can connect to it.

dependencies

Install these guys first:

how to use

These directions assume both the node.js webserver server and processing are running on the same machine.

cd eyeCandy;
screen -d -m node webserver/server.js
processing-java viz/viz.pde

Done setting up now lets use it!

contributing and bugs

Feel free to make pull requests or drop a line to humanwire.io@gmail.com regarding this code. I plan to work on standardizing the osc addresses to work for any patch, cleaning up the folder structure, and creating a config file and parser. I'll also be updating some webcam code to create an example of a patch generated from a cam.

credits