Abstract: This study explores the application of machine learning (ML) to derive and analyze individual gait patterns (i.e., gait signatures) from ground reaction force data. This study leverages ...
Abstract: Investigating the endogenous vulnerabilities of gait-based identity recognition (GBIR) is extremely important for protecting the privacy information of users stored in smart devices. In this ...
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