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EyeTech demos King-Devick test to detect concussion injuries, neurological disorders. Powered by Zynq Z-7020 SoC

Xilinx Employee
Xilinx Employee
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The video below shows Keith Jackson, Director of Sales and Marketing at EyeTech Digital Systems, demonstrating the King-Devick test running on Eyetech’s eye-tracking instrument at last week’s Embedded World show held in Nuremberg, Germany. Xcell Daily covered EyeTech’s eye- and gaze-tracking technology back in 2013 at ARM TechCon. (See “ARM TechCon: EyeTech eye-tracking demo shows the power, flexibility of localized video processing.”) The EyeTech hardware, which is based on a Xilinx Zynq Z-7020 SoC, uses a single camera and IR-LED illumination to image and detect both of a user’s eyes and to determine where the user is looking (gaze tracking). This year, King-Devick Test, Inc announced that it has licensed EyeTech’s eye-tracking technology and uses it to automate the King-Devick test, which was developed back in 1976 by Dr. Alan King and Dr. Steven Devick. For the last 30 years, this test has relied on a set of printed cards. Reading those cards causes specific eye movements. The new, automated King-Devick test uses a computer screen and the EyeTech eye tracker to medically evaluate a user’s eye movements.


Over thirty years, numerous studies, and 50 articles published in scientific journals, the King-Devick test has proved its ability to detect concussions and the neurological effects of multiple sclerosis, Parkinson’s disease, ALS, Alzheimer’s disease, hypoxia, extreme sleep deprivation, and even reading disabilities using eye fixations, saccades (the eye's ability to quickly and accurately shift from one target to another), blinks, and pupillary dynamics. Instead of printed cards, this test is now completely automated and scored, aided by the integrated Zynq-7000 SoC in the EyeTech tracker, which finely detects and tracks eye movements. Doctors use this test for medical diagnostics. Professional, collegiate, and even high-school sports teams use this test to detect concussions and to evaluate an athlete’s recovery from them.


Here’s the demo from Embedded World, 2016:




To see a heat map illustration of how the eye scanning works, click here.


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