Learning Human Identity from Motion Patterns
Google researchers present a large-scale study exploring the capability of temporal deep neural networks to interpret natural human kinematics and introduce the first method for active biometric authentication with mobile inertial sensors. They have created a first-of-its-kind data set of human movements, passively collected by 1500 volunteers using their smartphones daily over several months. We