Communications of the ACM
'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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