Researchers at Cornell University's Smart Computer Interfaces for Future Interactions Lab have developed a prototype wearable system controlled by teeth-tapping gestures.
The prototype features an inertial measurement unit (IMU) located behind the bottom of the ear where the jawline begins, and contact microphones that sit against the temporal bone behind the ear.
In tests, the TeethTap system was capable of identifying and distinguishing 13 different teeth-tapping gestures in a controlled environment with a real-time classification accuracy rate of more than 90%.
The researchers found TeethTap worked while study participants were talking, writing, walking, running, eating, or drinking.
From IEEE Spectrum
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