Brainwave-based assistive technology in the home

eeg_smart_house

Amyotrophic lateral sclerosis (ALS) is a debilitating disease that eventually causes the afflicted individual to lose all control of their motor functions, while leaving their mental faculties intact. Those suffering from the illness typically live for only a handful of years before succumbing to the disease. On some occasions however, patients can live for long periods after their original diagnosis, and in those cases assistive technology becomes a key component in their lives.

[Alon Bukai and Ofir Benyamin], students at Ort Hermalin Collage in Israel, have been working hard on creating an EEG-controlled smart house for ALS patients under the guidance of their advisor [Amnon Demri]. The core of their project focuses around controlling everyday household items using brainwaves. They use an Emotiv EPOC EEG headset which monitors the user’s brainwaves when focusing on several large buttons displayed on a computer screen. These buttons are mapped to different functions, ranging from turning lights on and off to changing channels on a cable box. When the user focuses on a particular task, the computer analyzes the headset’s output and relays the command to the proper device.

As of right now, the EEG-controlled home is only a project for their degree program, but we hope that their efforts help spur on further advancements in this field of research.

Continue reading to see a pair of videos demonstrating their EEG-controlled smart house in action.

[Read more...]

Twitter brain interface

nia

Just in time for the influx of sedentary Oprah viewers, [Adam Wilson] built a brain interface that allows you to post Twitter messages. The electrode cap monitors the user’s brain functions to determine where they’re looking. The display slowly flashes each letter in the alphabet. The user focuses on the letter they want and when it flashes the cap can pick up the resulting impulse. It’s a long process and the average user can only do ten characters a minute i.e. 14 minutes to use all 140 characters in a Twitter post. It’s interesting research and shows how far we still need to go with neural interfaces. The researchers note that Twitter’s forced brevity levels the playing field between locked-in patients and normal users. A video of the device in use is available on the NITRO blog.

Related: KanEye tracking system

[via @johl]

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