Abstract
Mobile devices find widespread use in the factories, warehouses, hospitals. Audio features simplify people’s life and improve their productivity. We demonstrate that inaudible audio produced and recorded by a mobile device has a potential for a facial feature recognition. An Android device was mounted on a moving stage near the head and torso simulator inside the listening room. The device produced an inaudible signal with frequency content above 10 kHz. A set of acoustic responses was recorded in several location relative to the head and torso. For each location the 2D images were recorded and were post processed into 3D reconstruction. Good correlation between the spectral representation of acoustic responses and 3D reconstruction was observed. The results demonstrate feasibility to compliment mobile phone security with acoustic biometric authentication.
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