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This inquiry stemmed from an interest in the posted article “Learning Human Identity from Motion Patterns”. A DSIAC subject matter expert from the Georgia Technical Research Institute (GTRI) performed open source searches for reports and…
Biometrics – technology that can recognise individuals based on physical and behavioural traits such as their faces, voices or fingerprints – are becoming increasingly important to combat financial fraud and security threats. This is because traditional approaches, such as those based on PIN numbers or passwords, are proving too easily compromised. However, this is not
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