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公开(公告)号：US20230409123A1
公开(公告)日：2023-12-21
申请号：US18335748
申请日：2023-06-15
申请人： Veridium IP Limited
摘要： 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 capturing motion sensor data using motion sensors of a mobile device and characterizing the motion sensor data into features for user recognition. The motion sensor data of a user is collected by the motion sensors of a mobile device in the form of a motion signal. One or more sets of features are extracted from the motion signal and a subset of discriminative features are then selected. The subset of features is analyzed, and a classification score is generated to classify the user as a genuine user or an imposter user.
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公开(公告)号：US20190286242A1
公开(公告)日：2019-09-19
申请号：US16356399
申请日：2019-03-18
申请人： Veridium IP Limited
摘要： 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 capturing motion sensor data using motion sensors of a mobile device and characterizing the motion sensor data into features for user recognition. The motion sensor data of a user is collected by the motion sensors of a mobile device in the form of a motion signal. One or more sets of features are extracted from the motion signal and a subset of discriminative features are then selected. The subset of features is analyzed, and a classification score is generated to classify the user as a genuine user or an imposter user.
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公开(公告)号：US11733780B2
公开(公告)日：2023-08-22
申请号：US16356399
申请日：2019-03-18
申请人： Veridium IP Limited
摘要： 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 capturing motion sensor data using motion sensors of a mobile device and characterizing the motion sensor data into features for user recognition. The motion sensor data of a user is collected by the motion sensors of a mobile device in the form of a motion signal. One or more sets of features are extracted from the motion signal and a subset of discriminative features are then selected. The subset of features is analyzed, and a classification score is generated to classify the user as a genuine user or an imposter user.
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公开(公告)号：US20240094828A1
公开(公告)日：2024-03-21
申请号：US18524878
申请日：2023-11-30
申请人： VERIDIUM IP LIMITED
摘要： 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.
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