We’ve seen a few cool hacks for mainstream commercial EEG headsets, but these are all a tad spendy for leisurely play or experimentation. The illumino project by [io] however, has a relatively short and affordable list of materials for creating your own EEG sensor. It’s even built into a beanie that maps your mental status to a colorful LED pompom! Now that winter is around the corner, this project is perfect for those of us who want to try on the mad scientist’s hat and look awesome while we’re wearing it.
How does all the neuro-magic happen? At the heart of [io’s] EEG project is a retired Thinkgear ASIC PC board by Neurosky. It comes loaded with fancy algorithms which amplify and process the different types of noise coming from the surface of our brain. A few small electrodes made from sheets of copper and placed in contact with the forehead are responsible for picking up this noise. The bridge between the electrodes and the Thinkgear is an arduino running the illumino project code. For [io’s] tutorial, a Tinylilly Arduino is used to mesh with the wearable medium, since all of these parts are concealed in the folded brim of the beanie.
In addition, a neat processing sketch is included which illustrates the alpha, beta, gamma, and other wave types associated with brain activity as a morphing ball of changing size and color. This offers a nice visual sense of what the Neurosky is actually reading.
If all of your hats lack pompoms and you can’t find one out in the ether that comes equipped, fear not… there is even a side tutorial on how to make a proper puff-ball from yarn. Sporting glowing headwear might be a little ostentatious for some of us, but the circuit in this project by itself is a neat point of departure for those who want to poke around at the EEG technology. Details and code can be found on the illumino Instructable.
Thanks Zack, for showing us this neat tutorial!
Continue reading “Your New Winter Hat Should Express Your Brain Waves Like a Neon Sign… Just Saying”
[Steven] likes music. Like many of us, he uses Pandora to enjoy the familiar and to discover new music. Now, Pandora means well, but she gets it wrong sometimes. [Steven] has had a Mindwave Mobile EEG headset lying around for a while and decided to put it to good use. With the aid of a Raspberry Pi and a bluetooth module, he built a brainwave-controlled Pandora track advancing system.
The idea is to recognize that you dislike a song based on your brainwaves. The Mindwave gives data for many different brainwaves as well as approximating your attention and meditation levels. Since [Steven] isn’t well-versed in brainwavery, he used Bayesian estimation to generate two multivariate Gaussian models. One represents good music, and the other represents bad music. The resulting algorithm is about 70% accurate, so [Steven]’s Python script waits for four “bad music” estimations in a row before advancing the track.
[Steven] streams Pandora through pianobar and has a modified version of the control-pianobar script in his GitHub repo. 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.
Stick around for a demo of [Steven] controlling Pandora with his mind. If you don’t have an EEG headset, you can still control Pandora with a Pi, pianobar, and some nice clicky buttons.
Continue reading “Thumbs-Down Songs on Pandora with Your Mind”
Challenge your friends to a little mental Tug of War thanks to the Omaha Maker Group’s Red Bull Creation contest entry. The power struggle is all in your mind, and can only be won if you’re able to concentrate deeply and quickly. The headsets worn by each competitor monitor brain waves over a ten second window. If you concentrate more deeply than your opponent they’ll get a squirt of water in the face. If no one is concentrating well the contest is a draw the measurements start again. The screenshot above was taken from the test footage found after the break.
Hardware details are scant on this one. Obviously the Bullduino is the centerpiece of the build, taking readings from the headsets. A motor moves the water nozzle along a slit cut in the top of the sphere. Progress during the 10-second window is displayed by that nozzle, which starts in the center yellow ‘safe’ zone and moves to one side or another to enter the green ‘kill’ zone.
Continue reading “Tug of War… with your mind, man!”
[Zibri] found a very simple method for using brain waves as a controller via a DB9 serial port. He’s using Uncle Milton’s Force Trainer which we saw yesterday in the brain controlled Arduino. In that project the Arduino tapped into the LEDs and interfaced those signals with a computer via USB. This time the connection was made using an RS-232 transceiver to pass data from the programming header inside of the toy’s base unit to a computer over the serial port. Tapping into the programming header has a lot more potential and should be more reliable than sniffing logic out of LED connections. [Zibri] has written an application to display the received data but it doesn’t look like he’s made the code available for download.
Apparently he tipped us off about a week ago. We recall seeing this submission but as you can tell it’s a little bit light on the detail. So if you want your tips to be at the front of the line, make sure you do what you can to fill us in on all the details of your project. At our request [Zibri] provided a picture of the PCB from the Force Trainer’s base unit. See it after the break. Continue reading “Mind control via serial port”
Yesterday we linked to an OCZ Neural Acutator Interface teardown. Several in the comments wanted to know more about the sensor electrodes. Check out the OpenEEG project and OpenEEG mailing list for information on sensing, amplifying, and recording brain activity (EEG). The OpenEEG project maintains an open source Simple ModularEEG design. Two other open source variants of the ModularEEG are the MonolithEEG and [Joshua Wojnas’] Programmable Chip EEG BCI. All three projects use Atmel microcontrollers, with designs in Cadsoft Eagle.
Brain activity is measured using passive or active electrodes. Passive electrodes require a conductive paste to make proper contact with the skin (examples: 1, 2). Active EEG sensors don’t need conductive goop because they have an amplifier directly on the electrode (examples: 1, 2, 3).
[via anonymous reader, comments]