Mobile Sensing

Proposed a novel acoustically extracted hand-grip biometric, which is associated with every user’s hand geometry, body-fat ratio, and gripping strength; It is implicit and available whenever the user grips a handheld device.

Showed that media sounds, such as the melodies of notification tones (e.g., iPhone message and Samsung whistle) can be directly used to sense and verify the user’s gripping hand. Developed a cross-domain method to validate hard-to-forge physical relationships among the mic, speaker, and accelerometer to prevent external sounds from cheating the system.