My recent assignment for Redial, called “Il Telefono di Pavarotti” (add or remove Os as you wish), transforms the screams of us mere mortals into the rich tenor bellow of one Luciano Pavarotti. Just turn up your volume, visit the website and call (360) 215-1975. Once your Pavatar appears, scream!
Here’s what the classroom sounded like when I presented it last week (thanks to Aaron for being documentation-minded):
This was built with the help of Chris’s Tinyphone library.
And some bonus content! A by-product of having extracted Pavarotti’s B4 from eight videos:
Update: I added the video I had looping at ITP’s Winter Show at the bottom of the post. Also, the project got picked up on Engadget – check it out here! You can see my setup at the show and hear me talk about it for a bit.
My final project for Phys Comp is Cat Car, a “Feline Fitness Frenzy!” It was intended as a cat exercise toy, however ultimately the cats I tested it on didn’t really care much for it. But that’s not the point! I learned quite a bit about accelerometers, gyroscopes and XBees along the way, which I’ll share here.
Cat Car lets humans “drive” their cats by turning a laser pointer from side-to-side. The laser pointer is attached to a harness worn by the cat and its angle is determined by a steering wheel. The cat, wanting to follow the laser, will go where it is. We hope.
Cat Car is a cat exercise device. Using a wireless steering wheel, you control a laser mounted on a servo (mounted on a cat). Steering wheel left, laser left, cat left.
I’m using a MPU-6050 “6 degrees of freedom” accelerometer/gyroscope. I will write a long post later detailing all the issues I’ve encountered (some solved, some I am still dealing with). But for now, here’s a little video.
See part 1. Quick update. Today I built an “enclosure” for my sound sensor. Behold:
The microphone is set back because of how closely I initially soldered it to the PCB. This was impacting the microphone’s ability to capture sound, so after taking the pictures I went back and resoldered it so that it’s flush with the wood. Next steps will be to modifying my Processing sketch to output a CSV file of all the sensor readings so I can run it for hours and analyze it later.
The other day, I was talking with Jay about tracking street noise. I thought it would be neat to record a video of the street for however many hours and giving it away to anyone who wanted to extract data from it. Taxi frequency, direction of pedestrians, or noise level, for example. I mentioned how the noise from the street was impacting my sleeping, Jay said something about tracking sound, and at that moment, voilà! An idea was born.
For the audio lab in PComp, I built the Drinking Buddy. He just wants to sing German drinking songs with you! And even though he probably thinks the more he drinks, the better he gets… that just isn’t true. As your breath alcohol increases, more error is introduced into the playback of the song. To wit: