In a breakthrough in wearable electronics, researchers at University of Texas Austin created a system which translates eyeball movements to wirelessly control a quadcopter in real time. The electronic tattoo system transmits electrooculography (EOG) data to the OpenBCI Cyton 8-channel board.
The Cyton, clipped on the subject’s collar, processes and wirelessly sends raw data obtained from the e-tattooed facial sensors to a CPU that communicates with the on-board controller. For methodology and algorithmic classification, see the published report, “Imperceptible Electrooculography Graphene Sensor System For Human–Robot Interface.”
For more innovative OpenBCI-based research like this, see our growing searchable Citation List!
The field of BCI is rapidly developing, and it grows with every paper published and every EEG system designed. We are approaching the tipping point of widespread adoption and integration of BCI applications thanks to the amazing contributions by people like Shideh Kabiri Ameri and her colleagues.
The thing we love most about OpenBCI is our amazingly diverse and inspiring community of hackers, neuroscientists, makers, and more! To celebrate you, we feature our favorite recent community project or research report in each newsletter. If you are interested in being featured or know someone who has a cool OpenBCI project that they might want to share, please drop us a note at [email protected]. If you’ve published research (or know someone who has) and it’s not listed in the collection linked above, please let us know!
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