SYSTEM AND METHOD FOR USER RECOGNITION USING MOTION SENSOR DATA

Technologies are presented herein in support of system and methods for user recognition using motion sensor data. Embodiments of the present invention concern a system and method for partitioning a captured motion signal of a user into segments. One or more sets of features are extracted from the segmented motion signal by applying a plurality of feature extraction algorithms to the segments, where the feature extraction algorithms include Convolutional Vision Transformers (CVT) and convolutional gated recurrent units (convGRU) model algorithms. A subset of discriminative features are selected from the sets of extracted features. The subset of features is then analyzed, and a classification score is generated to classify the user as a genuine user or an imposter user.