Just started practicing my Vis Comm sketching again.
I found a great site ID Sketching with some great tutorials to help me get back up to speed. Thanks!

One Button Drum Machine from Michael Shaub on Vimeo.

I posted a video demo of the drumMachine and the single button UI, highlighting the ability to choose, record, and clear individual tracks as well as adjusting the BPM. The beat turned out to be pretty nice, and more variation between the 5 tracks than I expecte

one button drumMachine – Exploded, originally uploaded by mdshaub
An exploded view from SketchUp of my one button solenoid drum machine project idea. Each layer’s shape was exported, printed, and made into a template for shaping the actual layers of plywood and acrylic.

one button drumMachine – Perspective, originally uploaded by mdshaub.

A perspective rendering from SketchUp of my one button solenoid drum machine project idea. All the components were modeled in SketchUp, arranged around my rough shape sketches, and plywood layers were routed out to hold the elements in place.

The project was for the KOKOROMI’S ONE-BUTTON GAME OBJECTS contest, the concept being a one button controlled 5 track arduino drum machine that taps out the beats with 5 solenoids.

We sent out an email with several arrows to choose from, each of which leads to a slightly different version of the game. The game is meant to encourage us all to try new things, explore, and see the wonderful and beautiful results that can come from just a few steps into a world of creativity and new possibilities.

As you navigate this space with your arrow avatar of choice, you reveal hidden colors and create new shapes based on how you touch the different forms. Some simple decisions, like how far you will move your arrow or if your first move was to the left or to the right, determine major shifts of color.Then, when you decide you are finished exploring, you can see the entire landscape you have explored and the results of your interactions. Each visitor is encouraged to sign their drawing and add it to a gallery of similar but unique works. I hope that it is just as interesting to see what was made as who made it.
The programming for this game was quite a learning experience, building on a class I took at Machine Project in LA and a number of simple Arduino projects I have completed in my free time. The largest hurdles were the trigonometry needed to complete the spinning and collision detection and the image uploading for saving images to our gallery. Thanks to the other Processing users who helped me in tackling the image uploading, you are also recognized in the source code!
I hope to build on this experience to create more projects for the web, mobile devices, and architectural spaces. I hope you play the game and I look forward to seeing even more additions to the image gallery.

I compiled all the frames of the video of my cat wearing an LED marker into a simulated long-exposure photo. The original video frames were processed to only include the LED marker on a black background.

AfterEffects was then used with the Time Echo filter to overlay all the frames of video onto each other.

The LED light is colored blue at the beginning of the video and shifts to cyan by the end. I’d hoped that this would make it easy to trace the motion over time but with the over-exposed areas looking cyan as well it is not perceivable.

This is my cat Mouse.
He’ll do just about anything for a treat, including put up with a new collar fitted with an LED, watch battery, and ping-pong ball diffuser.

He knows how to act like the star of the show. The only negative part of the experience is a newfound fear of full sheets of foamcore (the backdrop) and concern about the digital camera being tied to some other “project” idea of mine.

Realtime video of my cat wearing an LED marker. The original video frames were processed to only include the LED marker on a black background.

AfterEffects was used with the Time Echo filter to overlay the last 200 frames of video throughout.

The next test will be to compile all the frames of the video as a simulated long-exposure photo.

Click here or on the image to test the app.

Without any work in code yet, I’ve mocked up what this might look like. It’s only black and white so far, but color could be added (either RGB or CMYK or something else).

Pixel Field: Evenly spaced pixels waiting for a source image

Source Image: Pixels repelled and attracted by the dark and light areas of the photo

A related Processing sketch here