Scientists Mimic a Camera with Ear-Based Sonar to Image a Human Face

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Scientists Mimic a Camera with Ear-Based Sonar to Image a Human Face
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Scientists have developed a wearable earphone device that tracks facial movements in real-time using sound instead of camera-based tech.

, transmits facial movements to a smartphone in real-time and is compatible with commercially available headsets for hands-free video conferencing. The EarIO works like a ship sending out pulses of sonar. A speaker on each side of the earphone sends acoustic signals to each side of the face, using a microphone to pick up echoes. As wearers talk, smile or raise their eyebrows, the skin moves and stretches, changing the echo profiles.

By using sound instead of data-intensive images, the “earable” can communicate through Bluetooth with smartphones, keeping a user’s information private. With images, the device would need to connect to a Wi-Fi network and send data back and forth to the cloud, potentially making it vulnerable to hackers.

Using acoustic signals also takes less energy than recording images, and the EarIO uses 1/25 of the energy of other camera-based systems. Currently, the earable lasts around three hours on a wireless earphone battery, but future research will focus on extending the use time. One limitation of the technology is that before the first use, the EarIO must collect 32 minutes of facial data to train the algorithm but Zhang says they hope to “make this device plug and play” in the future.

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