Eye-tracking technology paired with machine learning

Date:13 February 2020 Author: Kyro Mitchell Tags:, ,

There’s a common saying that reads ‘the eyes are the windows to the soul.’ As it turns out, eyes reveal way more than just then our souls. For years doctors have used eye-movement to quickly assess brain health and other conditions like concussions or retinal artery occlusion (eye stroke).

Now, researchers from C. Light Technologies, a neurotech and AI company, want to make the process of diagnosing neurological conditions through monitoring the eyes even quicker and easier by using eye-tracking technology paired with machine learning. The new technology, which is 120 times more sensitive than other eye-tracking systems will be used to monitor conditions like multiple sclerosis, Alzheimer’s disease, Parkinson’s disease, and Amyotrophic lateral sclerosis (ASL) just to name a few.

The C. Light system involves patients fixating their eyes on a particular target for more than 10 seconds, similar to other eye examinations. The machine then records a video and uses machine learning to target any neurological impairment. Where C. Light differs from other eye machines is the fact that it can both detect and observe eye movements up to 1/100th the size of a human hair, and best of all, because the process is so quick, patients won’t need to have their eyes dilated, or use eye drops.

According to Dr. Zachary Helft, C. Light Co-Founder, “the back of your eye is actually the front of your brain. We use AI paired with eye-tracking to create a digital fingerprint of your neurological health, with unprecedented speed and sensitivity.

“Other technologies use the pupil to track eye motion, but our technique images the retina for 120 times more sensitivity than the other tracking systems available today. In other words, C. Light measures eye motion that has been otherwise invisible through existing pupil tracking technologies.”

Researchers hope that C.Light will be used to both monitor symptoms of certain neurological conditions and asses how effectively the prescribed medicine is working in the future.

Image: Pixabay

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