This is a U.S. news story, published by ScienceDaily, that relates primarily to UC Berkeley news.
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Ear EEG platformsScienceDaily
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78% Informative
UC Berkeley researchers have created earpieces that identify brain activity associated with relaxation and drowsiness.
Drowsy driving contributes to hundreds of fatal vehicle accidents in the U.S. each year .
The earpieces detect alpha waves, a pattern of brain activity that increases when you close your eyes or start to fall asleep.
In 2020 paper, the researchers showed that these earpieces can detect a number of physiological signals, including eye blinks, alpha brain waves.
The Ear EEG can also record signals beyond EEG , such as heart beats, eye movements and jaw clenches.
The earpieces retain their accuracy when categorizing drowsiness in brand-new users.
Muller is continuing to refine the design and explore other potential applications of the device.
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