Learning Human Identity From Motion Patterns
We present a large-scale study exploring the capability of temporal deep neural networks to interpret natural human kinematics and introduce the first method 5x4 tattoo for active biometric authentication with mobile inertial sensors.At Google, we have created a first-of-its-kind data set of human movements, passively collected by 1500 volunteers u