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    Multi Sensor-Based Implicit User Identification

    Muhammad Ahmad1,*, Rana Aamir Raza2, Manuel Mazzara3, Salvatore Distefano4, Ali Kashif Bashir5, Adil Khan3, Muhammad Shahzad Sarfraz1, Muhammad Umar Aftab1

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 1673-1692, 2021, DOI:10.32604/cmc.2021.016232

    Abstract Smartphones have ubiquitously integrated into our home and work environments, however, users normally rely on explicit but inefficient identification processes in a controlled environment. Therefore, when a device is stolen, a thief can have access to the owner’s personal information and services against the stored passwords. As a result of this potential scenario, this work proposes an automatic legitimate user identification system based on gait biometrics extracted from user walking patterns captured by smartphone sensors. A set of preprocessing schemes are applied to calibrate noisy and invalid samples and augment the gait-induced time and frequency domain features, then further optimized… More >

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