US Patent 12019720 Spatiotemporal deep learning for behavioral biometrics

A behavioral biometrics deep learning (BBDL) pipeline is provided, comprising a plurality of stages of machine learning computer models that operate to provide a behavioral biometric based authenticator operating based on spatiotemporal input data. The BBDL pipeline receives spatiotemporal input data over a plurality of time intervals, each time interval having a corresponding subset of the spatiotemporal input data. For each time interval, machine learning computer model(s) of a corresponding stage process a subset of the spatiotemporal input data corresponding to the time interval to generate an output vector having values indicative of an internal representation of spatiotemporal traits of the entity. Output vectors are accumulated across the plurality of stages of the BBDL pipeline to generate a final output vector indicative of the spatiotemporal traits of the entity represented in the spatiotemporal input data. The entity is authenticated based on the final output vector.