It’s certainly a radio upgrade, falling somewhere in between the passive listening of traditional broadcasts, and the complete control of music players that use playlists. This mix of modern and retro acts as a standalone Pandora client. Posted in Linux Hacks, Raspberry Pi Tagged airplay, debian, pandora, RPi, shairport, weezy How To Build Your Own Dedicated Pandora Radio The finishing touch was to add AirPlay support via the shairport package. Once figured out how to use mkfifo to set up the file, he was able to control it from a script by monitor button presses and echoing the associated command to the FIFO. You can control it using a First-In First-Out file. It uses a Linux distribution (Rasbian Weezy) and the Pianobar package. The software side of things is very similar to the BeagleBone Pandora player we looked at in September. Plug some speakers into the audio jack and the hardware end of the deal is finished. used Adafruit’s breakout board to solder connections for the six buttons and the character LCD screen. The GPIO header of the RPi makes this project a lot easier. Housed inside this case which used to house a spindle of bland CDs is a Raspberry Pi that plays Pandora radio and serves as an AirPlay receiver. Although he did have some troubles along the way, the final project turned out very well. If you don’t have an EEG headset, you can still control Pandora with a Pi, pianobar, and some nice clicky buttons.Ĭontinue reading “Thumbs-Down Songs On Pandora With Your Mind” → Posted in digital audio hacks, Raspberry Pi Tagged bayesian estimation, bluetooth module, brain waves, fft, mindwave mobile, music, pandora, raspberry pi Dedicated Pandora Player Plus AirPlay Built Around The Raspberry Pi Stick around for a demo of controlling Pandora with his mind. His script will also alert you if the headset isn’t getting good skin contact, a variable that the Mindwave reports on a scale of 0 to 200. streams Pandora through pianobar and has a modified version of the control-pianobar script in his GitHub repo. The resulting algorithm is about 70% accurate, so ’s Python script waits for four “bad music” estimations in a row before advancing the track. ![]() One represents good music, and the other represents bad music. Since isn’t well-versed in brainwavery, he used Bayesian estimation to generate two multivariate Gaussian models. The Mindwave gives data for many different brainwaves as well as approximating your attention and meditation levels. The idea is to recognize that you dislike a song based on your brainwaves. With the aid of a Raspberry Pi and a bluetooth module, he built a brainwave-controlled Pandora track advancing system. has had a Mindwave Mobile EEG headset lying around for a while and decided to put it to good use. Now, Pandora means well, but she gets it wrong sometimes. ![]() Like many of us, he uses Pandora to enjoy the familiar and to discover new music.
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