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'Earable' Uses Sonar to Reconstruct Facial Expressions


The image produced by an earable. The device performs as well as camera-based face tracking technology, but uses less power and offers more privacy.

Credit: Ke Li

Cornell University researchers have developed EarIO, a wearable earphone device (earable) that can reconstruct the wearer's face using sonar.

EarIO sends facial movements to a smartphone.

A speaker on either side of the earphone transmits acoustic signals to the sides of the face, and a microphone detects the echoes, which change due to facial movements as wearers talk, smile, or raise their eyebrows.

A deep learning algorithm processes and translates that data back into facial expressions via artificial intelligence.

The earable can communicate with a smartphone via a wireless Bluetooth connection, maintaining the user’s privacy.

From Cornell University Chronicle
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Abstracts Copyright © 2022 SmithBucklin, Washington, DC, USA


 

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