Mind-Controlled Beer Pong Gets Easier As You Drink

December 9, 2020 by Kristina Panos 1 Comment

Wouldn’t it be nice if beer pong could somehow get easier the more you drink? You know, so you can drink more? [Ty Palowski] has made it so with automated, mind-controlled beer pong.

[Ty] started by making a beer pong table that moves the cups back and forth at both ends. An Arduino Nano controls a stepper that controls a slider, and the cups move with the slider through the magic of magnets. The mind control part came cheaper than you might think. Back in 2009, Mattel released a game called Mind Flex that involves an EEG headset and using brain waves to guide a foam ball on a stream of air through a little obstacle course. These headsets are available for about $12 on ebay, or at least they were before this post went up.

[Ty] cracked open the headset added an HC-06 Bluetooth module to talk to the Arduino. It’s using a program called Brainwave OSC to get the raw data from the headset and break it into levels of concentration and relaxation. The Arduino program monitors the attention levels, and when a certain threshold of focus is reached, it moves the cups back and forth at a predetermined speed ranging from 1 to an impossible-looking 10. Check out the two videos after the break. The first one covers the making of the the automatic beer pong part, and the second is where [Ty] adds mind control.

We’ve seen a different headset — the hacker-friendly NeuroSky Mindwave — pop up a few times. Here’s one that’s been hacked to induce lucid dreaming.

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Macro Foot Stool Helps Me Get A Leg Up On Work

December 20, 2019 by Kristina Panos 12 Comments

Macros are meant to make our lives easier, but they live up to this promise with mixed results. Generally speaking, a macro is a special combination of keys on the keyboard that execute a custom task — their goal is to speed up your productivity by getting away from mousing through menus. But once a macro requires more than two keys, they can get a bit cumbersome to input. I have personally found that repeated use of macros that require ctrl+shift can potentially cause problems. I don’t know about you (and your repetitive stress mileage may vary), but personal injury is the polar opposite of what I want from something that’s supposed to be convenient.

The more I thought about how nice it would be to have a field of dedicated one-punch macro keys, the more incomplete my life seemed without it. Every uncomfortable three-key shortcut I chorded was more motivational than the last.

I love keyboard shortcuts, and not just because I prefer keyboard navigation in general. A lot of little things about writing for the web can be streamlined with shortcuts, like writing html tags and doing image manipulation. And I’m always looking for a better workflow to pin down my fleeting mental fragments, at least until that dark day that I can turn on Dropbox Thoughts™ and burn my brainwaves directly to disk.

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Project Perceives Pondering, Prints Poetry

July 20, 2019 by Daniel Bogdanoff 5 Comments

If poetry is your thing, this hack might convince you that your brain is more advanced than the rest of us poor sots. [Roni Brandini] designed a system that prints lines of poetry when you concentrate. The Mind Poetry project uses an EEG headset from Mattel’s Mindflex toy and pipes your brain’s signals to an Arduino Mega 2560. The system then looks for patterns of brain waves that indicate concentration. As you maintain your concentration, the system continues to print lines of poetry to a small display.

[Roni] follows the standard Mindflex hack process by tapping into the data transmission pin on the Mindflex board. Optoisolation is provided by a PC817 to make sure wall power can’t accidentally bleed over into your own wetware. You could get away with just using batteries, but isolation is still a best practice.

The Arduino Brain Library is used to decipher the signal. The Mindflex picks up brain waves from roughly 1 Hz to 50 Hz, which is enough bandwidth to approximately determine mental state. For example, Theta waves are in the 4 Hz to 7 Hz range and can indicate a relaxed, meditative state. Low Beta waves range from 13 Hz to 17 Hz and indicate an alert, focused mental state. The Mindflex system is also generous in that it provides derived meditation and attention scores, ranging from 0 to 100.

It’s difficult to get a high level of precision with this sensor and sampling system, so the code uses [Roni]’s custom recipe of meditation score, attention score, and Low Beta value. He finds it most effective to trigger actions based on a relationship of these scores instead of focusing on the readings themselves. For example, an uptick in both Low Beta waves and the attention score indicate concentration.

If the wearer is concentrating, the system prints lines of poetry to the display and charts the three values. As an added gamification, it’ll tell you how many times you broke concentration before you completed the poem. One can imagine a game that tries to break concentration by printing other phrases or even activating an array of mechanical distractions.

If poetry isn’t your thing, you’re in luck. The “Mind Poetry” project also makes some headway (pun intended) with processing the EEG headset’s signals and triggering actions This means you don’t have to be into the poetry scene to reap the benefits. You now have the bones of a hack that lets you control things with your brain muscles and without your muscle muscles.

For inspiration, check out some other Mindflex hacks that let you order drinks with your mind (recommended), shock the heck out of people (not recommended), or even move around your skirt (uh… you do you?).

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Scientists Create Speech From Brain Signals

April 25, 2019 by Al Williams 14 Comments

One of the things that makes us human is our ability to communicate. However, a stroke or other medical impairment can take that ability away without warning. Although Stephen Hawking managed to do great things with a computer-aided voice, it took a lot of patience and technology to get there. Composing an e-mail or an utterance for a speech synthesizer using a tongue stick or by blinking can be quite frustrating since most people can only manage about ten words a minute. Conventional speech averages about 150 words per minute. However, scientists recently reported in the journal Nature that they have successfully decoded brain signals into speech directly, which could open up an entirely new world for people who need assistance communicating.

The tech is still only lab-ready, but they claim to be able to produce mostly intelligible sentences using the technique. Previous efforts have only managed to produce single syllables, not entire sentences.

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Brain Hacking With Entrainment

April 8, 2019 by Al Williams 16 Comments

Can you electronically enhance your brain? I’m not talking about surgically turning into a Borg. But are there electronic methods that can improve various functions of your brain? Fans of brainwave entrainment say yes.

There was an old recruiting ad for electrical engineers that started with the headline: The best electronic brains are still human. While it is true that even a toddler can do things our best computers struggle with, it is easy to feel a little inadequate compared to some of our modern electronic brains. Then again, your brain is an electronic device of sorts. While we don’t understand everything about how it works, there are definitely electric signals going between neurons. And where there are electric signals there are ways to measure them.

The tool for measuring electric signals in the brain is an EEG (electroencephalograph). While you can’t use an EEG to read your mind, exactly, it can tell you some pretty interesting information, such as when you are relaxed or concentrating. At its most basic we’ve seen toys and simple hobby projects that purport to be “mind controlled” but only at an incredibly rudimentary level.

Brainwave entrainment is a hypothesis that sending low frequency waves to your brain can give your mind a nudge and sync up brain activity with the equipment measuring it. The ability to synchronize with the brain could yield much better measurements for a meaningful interface between modern electronics and electric storm of thought happening in your head.

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Alma The Talking Dog Might Win Some Bar Bets

March 16, 2019 by Al Williams 17 Comments

Students at the University of Illinois at Urbana-Champaign have a brain-computer interface that can measure brainwaves. What did they do with it? They gave it to Alma, a golden labrador, as you can see in the video below. The code and enough info to duplicate the electronics are on GitHub.

Of course, the dog doesn’t directly generate speech. Instead, the circuit watches her brainwaves via an Arduino and feeds the raw data to a Raspberry Pi. A machine learning algorithm determines Alma’s brainwave state and plays prerecorded audio expressing Alma’s thoughts.

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Jittery Back Off To Speed Up

November 21, 2018 by Kerry Scharfglass 6 Comments

In systems where there are multiple participants who need to interact with a shared resource some sort of concurrency protection is usually appropriate. The obvious technique is to use locking (and fun words like “mutex”) but this adds a constant performance hit as every participant needs to spend time interacting with the lock regardless of the number of other participants. It turns out this is actually a Big Problem that garners original research, but there are techniques that can yield great effect without a PhD. Years ago [Marc] posted a great walkthrough of one such method, exponential backoff with jitter, to Amazon’s AWS blog which is a great introduction to one such solution.

The blog post was written specifically to deal systems using a specific technique called optimistic concurrency control (OCC) but that doesn’t mean the advice isn’t generally applicable. OCC refers to a method where each writer checks for a write collision only after performing the write (but before committing it), which works well in scenarios where writes are relatively uncommon. [Marc] observed that even in systems where this is a safe assumption things bog down significantly when there are too many writers clamoring for attention all at once.

The traditional solution to such a problem is for each writer to pause for an exponentially increasing amount of time before trying again, but as writers come back in big groups the same problem can recur. He provides a discussion of simple modifications to that strategy which result in significantly reduced wait times for writers.

Problems like this are not especially relevant for single Arduino sensor networks, but even small groups of systems can have concurrency trouble and it’s nice to see such an accessible write up with solutions which are viable even for simple systems. Bonus points to [Marc] for posting source to his test tool online. It doesn’t require anything outside of your computer to run (no AWS required) so if you have any brainwaves about speeding up multi-writer environments it might make a nice test environment! Maybe don’t mention the blog post in your PhD applications though.