Tag Archives: Brain-Controlled Wheelchair

1:1 interview with Hackaday Prize finalist Eyedrivomatic


Did you know that 80% of the 2015 Hackaday Prize finalists are powered by Atmel? With only days left until we learn which project will walk away with this year’s crown, we recently sat down with each of the potential winners to get to know them better. 


Amyotrophic laterals sclerosis, more commonly known as ALS, is a progressive neurodegenerative disease that affects nerve cells in the brain and the spinal cord. Typically, motor neurons reach from the brain to the spinal cord and from the spinal cord to the muscles throughout the body. However, with ALS, the progressive degeneration of the motor neurons leads to their demise. When these motor neurons die, the brain’s ability to initiate and control muscle movement is lost. With voluntary muscle action progressively affected, people eventually become unable to speak, eat, move and breathe.

Cognizant of this, the Maker trio of Patrick Joyce, Steve Evans and David Hopkinson have developed an eye-controlled wheelchair system that will enable those who no longer have use of hands to regain their mobility, not only ALS sufferers. This innovation, dubbed Eyedrivomatic, is a yet another prime example that a Hackaday Prize entry can make a lasting impact on the lives of others. We recently had the pleasure of sitting down with team member Patrick Joyce to get this thoughts on the contest, learn about his inspiration for the project and what the future holds for the truly remarkable machine that will give those with quadriplegia a second lease on life.

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Atmel: What is Eyedrivomatic?

Patrick Joyce: Eyedrivomatic is an eye-controlled wheelchair system that allows quadriplegics to take control of their mobility, by providing a hardware ‘bridge’ between users’ Eyegaze equipment and their wheelchairs.

Atmel: How did you come to the idea for it? Moreover, what inspired you to enter the contest with your project?

PJ: I have ALS, a terminal disease which takes away use of your muscles, your ability to eat and breathe, and sooner or later, inevitably, takes your life as well. Two years ago, as I was steadily losing the use of my hands, I suddenly realized to my horror that when they did go completely, I would no longer be able to move my own wheelchair. Subsequently, I would have to rely on carers to move me. I figured I’d better do something about that.

When I heard about the Hackaday Prize, I thought ‘wow, a trip into space!’ What I didn’t realize was just how motivating entering would be, and how dramatically the deadlines would speed up the rate of progress on the project — it’s been a heck of a ride.

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Atmel: In line with the Hackaday Prize’s theme, how are you hoping your device changes the world? What’s the mission?

PJ: My original goal of helping my future self retain independent mobility soon changed, when I realized the scale of the problem. My mission quickly became helping everyone in this awful position, worldwide. At the moment, Eyedrivomatic is a first-world solution to a first-world problem. It relies on the user having Eyegaze equipment and an electric wheelchair. I can’t do much about quadriplegics without wheelchairs, but I’m actively working on a webcam-based system for those without Eyegaze equipment.

Atmel: What’s different about it? What’s your vision for the next five years? Where do you see the project going or what/who would you hope will pick up the project and use it?

Truth be told, ALS will likely take my life sometime over the next couple of years, so getting the Eyedrivomatic project to the point where others can continue its maintenance and development is paramount. I’m nearly there — just some work left to do on the software. From there, the priority will become getting the system out to the people who need it.

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Atmel: As we know, the Maker Movement has opened the door for everyone from hobbyists to tech enthusiasts to hardcare engineers to tinker around. What’s your personal background?

PJ: These processes are hindered by my inexperience in all the disciplines necessary for a project like this. Before getting ALS, I was an artist… a painter. My work never paid the rent, so I earned a living as a tree surgeon, or even more recently, a plumber. None of which was much use when it came to 3D design and programming. However, Arduino is a perfect platform for someone such as myself. Powerful and versatile, yet simple and easy to use. And, Arduino combined with 3D printing — now that’s marriage made in heaven. I certainly couldn’t have designed Eyedrivomatic without them.

Atmel: What are some of the core pieces of hardware embedded?

PJ: Eyedrivomatic employs an Arduino Uno (ATmega328), which has enough processing power to run the entire system with plenty to spare for add-on features. Aside from that, there’s a four-channel relay shield, a servo/sensor shield, an optional solar phone charger, some servos and a few other components that can be found on its Hackaday page here.]

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Atmel: What advice would you offer other Makers when getting into hardware and embarking on a new project?

PJ: My advice to those wanting to become Makers, but daunted by their lack of skills: Arduino, Arduino, Arduino! It’s perfect for beginners, and provides you with programming instruction as you go along – at your own pace. Then, get hold of a 3D printer and learn Sketchup or Autodesk 123D.

Atmel: Has this process inspired you to launch a startup and perhaps even take to Kickstarter/Indiegogo?

PJ: I’ve no plans to crowdfund an Eyedrivomatic manufacturing project at the present time, though I’m hoping someone else will.

Atmel: And… if you win, will you be heading to space or taking the cash?!

PJ: I would love to go into space! But Eyedrivomatic was a team effort, and sadly we can’t all squeeze in that one seat. So boringly, we would take the cash.

Don’t miss our other interviews with fellow HaD Prize finalists Chris LowOpenBionics and Eric William!

Maker creates a brain-controlled, multi-purpose wheelchair

As previously covered on Bits & Pieces, UK-based Maker Philip Case (referred to many as “Cap”) has set his sights on a project that will make the lives of many living with a disability easier. Cap, who is confined to a wheelchair due to an unfortunate accident, has been diligently working to further develop his incredibly innovative, all-purpose e-wheelchair.

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The e-wheelchair enables chair movement to be controlled solely by a user’s brainwaves. While some wheelchairs already exist with this technology, they are very expensive. In true Maker fashion, Cap is seeking to create an Atmel AVR based chair that is both affordable and easy to use for all who would require its services.

In order to bring this idea to fruition, Cap’s DIY system employed an Arduino Uno R3 (ATmega328), an Arduino Yún (ATmega32U4) as well as a series of breakout boards. The Arduino boards interpret the brainwaves into directional movements for the chair.

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For the control system, Cap has implemented the Neurosky Mindwave Mobile and a Mindflex EEG. So far, Cap has been able to control forward and reverse on his chair with these tools. Though, in a recent update, steering has been changed to blink detection rather than laser, using ultrasound for a safety stop in forward and reverse — one affixed to each footrest and another behind the chair.

Cap considers the design’s built-in safety and communication system an integral feature. The Maker decided to include an automatic stop functionality in order to prevent the chair from accidentally running into and hitting innocent bystanders. To accomplish this, the set of embedded sensors will stop the wheelchair at a preconfigured distance. In other words, if the chair comes in close proximity to any object or person, the chair will put the potentiometer to 0.

“Due to the over 200-pounds in weight travelling at any speed… The chair in motion can be very heavy and a dangerous machine, this system will work similar to the cars with cruise control that slow down when a car is nearing its sensors,” says Cap.

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Furthermore, the communication system is easily stacked onto the Arduino board. In the event any problem arises, this will allow the device to alert a third party through its Internet connection. It can also be used to transmit location with built-in GPS.

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The Maker is also implementing Cooking Hacks’ e-Health system to monitor vital body parameters, like ECG or blood glucose levels. With his aspirations to provide independence to users, he is exploring the idea of connecting a mobile device to the e-wheelchair using both Bluetooth and USB.

In addition, the e-wheelchair is utilizing Vuzix M100 smart glasses to enhance the user experience.

“The Vuzix M100 will enable the wearer to essentially have all the functionality of a smart phone and more, in the form of glasses. Controlled by voice and gesture, the Vuzix M100 are already being championed as game-changing when it comes to productivity in industry… The M100 is a standalone device as well as being compatible with Android and IOS and can be worn over your eye (optical head-mounted display) or incorporated into safety goggles and I understand, prescription glasses also,” Cap writes.

Lastly, the Maker has debuted an add-on kit, which increases the portability while reducing the cost of the project. This includes vital sign monitoring, GPS, virtual coaching applications, a kill switch along with some perimeter and proximity sensors. To stay up to date on Cap’s build, you can follow along on the Cooking Hacks blog here.

Arduino-powered wheelchair hopes to offer greater mobility

A Maker by the name Philip Case, also known as “Cap,” has set his sights on a project that will make his and a number of others’ lives easier. Philip, who is wheelchair dependent due to an unfortunate accident, is working to further develop his incredibly innovative e-Wheelchair.

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Similar to other mind-controlled projects we’ve recently covered on Bits & Piecesthe e-Wheelchair enables chair movement to be controlled solely by a user’s brainwaves. While some wheelchairs exist with this technology, they are very expensive. In true Maker fashion, Cap is seeking to create an Atmel based chair that is both affordable and easy to use for all who would require its services.

Cap’s system features an Arduino Uno R3 (ATmega328), an Arduino Yun (ATmega32u4) as well as a series of breakout boards. The Arduino boards interpret the brainwaves into directional movements for the chair.

For the control system, Cap has implemented the Neurosky Mindwave Mobile and a Mindflex EEG. According to the team at Cooking Hacks, Cap has been able to control forward and reverse on his chair with these tools. Though, in a recent update, steering has been changed to blink detection rather than laser, using Ultrasound for a safety stop in forward and reverse.

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Cap also wants to fully utilize the power of the Atmel powered Arduinos, so he is currently looking to install devices that can monitor glucose levels and ECG. This will likely be based around e-Health’s Sensor Platform. In addition, the future build may also incorporate a GSM/GPRS module along with an embedded body position sensor. With his aspirations to provide independence to users, he is exploring the idea of connecting a mobile device to the e-Wheelchair using both Bluetooth and USB.

To stay up to date on Cap’s build, you can follow along on his Cooking Hacks blog.