Hacklet 105 – More Mind And Brain Hacks

A mind is a terrible thing to waste – but an awesome thing to hack. We last visited brain hacks back in July of 2015. Things happen fast on Hackaday.io. Miss a couple of days, and you’ll miss a bunch of great new projects, including some awesome new biotech hacks. This week, we’re checking out some of the best new mind and brain hacks on Hackaday.io

We start with [Daniel Felipe Valencia V] and Brainmotic. Brainmotic is [Daniel’s] entry in the 2016 Hackaday Prize. Smart homes and the Internet of Things are huge buzzwords these days. [Daniel’s] project aims to meld this technology with electroencephalogram (EEG). Your mind will be able to control your home. This would be great for anyone, but it’s especially important for the handicapped. Brainmotic’s interface is using the open hardware OpenBCI as the brain interface. [Daniel’s] software and hardware will create a bridge between this interface and the user’s home.

 

biofeed1Next we have [Angeliki Beyko] with Serial / Wireless Brainwave Biofeedback. EEG used to be very expensive to implement. Things have gotten cheap enough that we now have brain controlled toys on the market. [Angeliki] is hacking these toys into useful biofeedback tools. These tools can be used to visualize, and even control the user’s state of mind. [Angeliki’s] weapon of choice is the MindFlex series of toys. With the help of a PunchThrouch LightBlue Bean she was able to get the EEG headsets talking on Bluetooth. A bit of fancy software on the PC side allows the brainwave signals relieved by the MindFlex to be interpreted as simple graphs. [Angeliki] even went on to create a Mind-Controlled Robotic Xylophone based on this project.

brainhelmetNext is [Stuart Longland] who hopes to protect brains with Improved Helmets. Traumatic Brain Injury (TBI) is in the spotlight of medical technology these days. As bad as it may be, TBI is just one of several types of head and neck injuries one may sustain when in a bicycle or motorcycle accident. Technology exists to reduce injury, and is included with some new helmets. Many of these technologies, such as MIPS, are patented. [Stuart] is working to create a more accurate model of the head within the helmet, and the brain within the skull. From this data he intends to create a license free protection system which can be used with new helmets as well as retrofitted to existing hardware.

mindwaveFinally we have [Tom Meehan], whose entry in the 2016 Hackaday Prize is Train Your Brain with Neurofeedback. [Tom] is hoping to improve quality of life for people suffering from Epilepsy, Autism, ADHD, and other conditions with the use of neurofeedback. Like [Angeliki ] up above, [Tom] is hacking hardware from NeuroSky. In this case it’s the MindWave headset. [Tom’s] current goal is to pull data from the TAGM1 board inside the MindWave. Once he obtains EEG data, a Java application running on the PC side will allow him to display users EEG information. This is a brand new project with updates coming quickly – so it’s definitely one to watch!

If you want more mind hacking goodness, check out our freshly updated brain hacking project list! Did I miss your project? Don’t be shy, just drop me a message on Hackaday.io. That’s it for this week’s Hacklet, As always, see you next week. Same hack time, same hack channel, bringing you the best of Hackaday.io!

Megaprocessor Is A Macro Microprocessor

If we have to make a list of Projects that are insane and awesome at the same time, this would probably be among the top three right up there. For the past few years, [James Newman] has been busy building Megaprocessor – a huge micro-processor made out of transistors and LED’s, thousands of ’em. “I started by wanting to learn about transistors. Things got out of hand.” And quite appropriately, he’s based out of Cambridge – the “City of perspiring dreams“. The Why part is pretty simple – because he can. We posted about his build as recently as 10 months back, but he’s made a ton of progress since then and an update seemed in order.

megaprocessor_04How big is it ? For starters, the 8-bit adder module is about 300mm (a foot) long – and he’s using five of them. When fully complete, it will stretch 14m wide and stand 2m tall, filling a 30 sq.m room, consisting of seven individual frames that form the parts of the Megaprocessor.

The original plan was for nine frames but he’s managed to squeeze all parts in to seven, building three last year and adding the other four since then. Assembling the individual boards (gates), putting them together to form modules, then fitting it all on to the frames and putting in almost 10kms of cabling is a slow, painstaking job, but he’s been on fire last few months. He has managed to test and integrate the racks shown here and even run some code.

The Megaprocessor has a 16-bit architecture, seven registers, 256bytes of RAM and a questionable amount of PROM (depending on his soldering endurance, he says). It sips 500W, most of it going to light up all the LED’s. He guesses it weighs about half a ton. The processor uses up 15,300 transistors and 8,500 LED’s, while the RAM has 27,000 transistors and 2,048 LED’s. That puts it somewhere between the 8086 and the 68000 microprocessors in terms of number of transistors. He recently got around to calculating the money he’s spent on this to date, and it is notching up over 40,000 Quid (almost $60,000 USD)!  You can read a lot of other interesting statistics on the Cost and Materials page.

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Windows 95 On An Apple Watch

What happens if the slick user interface and tight iOS integration of your Apple Watch leave you wanting more? A real operating system, from the days when men were men and computers were big grey boxes!

[Nick Lee] solved this unexpected problem with his Watch by getting a working copy of Windows 95 to run on it. On paper it shouldn’t be at all difficult, with a 520 MHz ARM, 512 MB of RAM, and 8GB of storage you might think that it would eclipse the quick 486s and low-end Pentiums we ran ’95 on back in the day with ease. But of course, the ability to run aged Redmond operating systems on a Watch was probably not at the top of the Apple dev team’s feature list, so [Nick] had to jump through quite a few hoops to achieve it.

As you might expect, the ’95 installation isn’t running directly on the Watch. In the absence of an x86 processor his complex dev process involved getting the Bochs x86 emulator to compile for the Watch, and then giving that a ’95 image to boot. The result is comically slow, with a 1-hour boot time and a little motor attached to the Watch to vibrate it and stop it going to sleep. It’s not in any way a useful exercise, after all who’d really want to use ’95 on a Watch? Internet Explorer 3 and The Microsoft Network, how handy! But it’s one of those “because you can” exercises, and we applaud [Nick] for making it happen. If you want to give it a try, his Bochs-forWatchOS code is on Github.

The video below the break shows the process of booting the ’95 Watch, opening the Start Menu, and running one of the card games. One can almost feel the lengthening shadows outside as it goes.

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Don’t Tempt The Demo Gods

Including a live technical demonstration as part of a presentation is a lot like walking a tightrope without a net. Which isn’t to say that we don’t do it — we just keep our fingers crossed and bring our lucky horseshoe. The demo gods have smote [Quinn] a mighty blow, in front of a class at Stanford, no less.

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[Quinn]’s scratch-built computer, Veronica, failed to boot in front of a hall of eager students. When the pressure was off, in the comfort of her own lab, [Quinn] got to debugging. You should read her blog post if you’re at all interested in retrocomputing or troubleshooting of low-level hardware bugs. But if you just can’t spare the five minutes for a pleasant read, here’s a spoiler: watch out for flaky card-edge connectors. All’s well that ends well, with a game of pong.

We’ve been following Veronica from her very first clock cycles, so we’re happy to see her back on her feet again. Good job, [Quinn]!

Line Following Robot Trains Runners

Can your line following robot move faster than [Usain Bolt] who has been described as “The World’s Fastest Timed Human”? Puma, the athletic footwear, apparel and accessories company, created such a robot to help train their company sponsored athletes.

The shoebox-sized robot exceeds [Bolt]’s top speed of 44-km/hour. At that speed, following a line gets tricky. It took the development team 8 prototypes to attain that capability. Inside the BeatBot an Arduino reads 9 infrared sensors for line detection at 100 samples a second. A digital servo controls the Ackerman steering mechanism to follow the line on the track or floor. Wheel encoders provide the data for speed and distance measurement.

The user can set the distance of the run and the time to beat. Run pacing can also be adjusted. LEDs on the robot provide the starting ‘gun’ and help the runner see the BeatBot using peripheral vision. Two GoPro cameras, front and rear, provide a visual record of the run.

Puma believes that actually running against a competitor, even a robot, improves performance more than just running against the clock. They’re betting a grown-up line follower will help Olympic class athletes improve their performance. Continue reading “Line Following Robot Trains Runners”

1btn – An Open Source Dash

The availability of cheap radios, omni-present WiFi and powerful web services means the IoT wave is here to stay. Amazon got into the act with its “do only one thing” Dash button. But a more interesting solution would be an IoT “do it all” button.

[Anand] has been working on his 1btn Open Source WiFi connected IoT button for a while. It connects to the Internet over WiFi to trigger whatever action you have assigned to it using a simple, online interface. It’s reconfigurable and open source. Which means it can be used in pretty imaginative ways, and if needed, can be re-flashed with your own custom firmware should you decide to really get under its hood.

The 1btn’s ESP8266 module is usually in sleep mode, waking up when the button is pressed, making the connection, performing the task and then going back to sleep once confirmation is received. A Red/Green LED indicates if the action was successful or not. You can set it up to send e-mails, messages, tweets or perform actions via a custom script, API or the IFTTT – maker channel. To make it hacker friendly, all of the ESP8266 GPIO pins are accessible via headers. This makes it convenient to add external sensors, for example. There’s also a (unpopulated) QFN footprint to allow adding an ATmega device (168P/328P) whose GPIO pins are also accessible via headers. This opens up a large number of additional applications for the device such as home automation.

On the software side, the 1btn connects to a web console, where you can set up an account, configure the device, register its MAC ID, assign it an alias and set up its actions. All of the source files for the 1btn – firmware, enclosure, schematic, BOM, PCB layout and example use cases – are posted on his Github repository.

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Soda Fridge Hack To Fix A Lazy People Problem

[Paul] participated in a hackathon at work and created a hack to help solve what was ultimately a people problem. A soda fridge at work wasn’t getting refilled when empty. Instead of trying to make people less lazy, [Paul] went with making the fridge more needy.

The first thing [Paul] did was make a soda fridge refill sensor from a scale. As the fridge got emptier, it got lighter. The scale senses that and can decide it’s time for a refill. The only part missing was how to read the output from the scale. To do that, he took an unusual approach.
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