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Research of autoencoder-based user biometric verification with motion patterns
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In the current research, we continue our previous study regarding motion-based user biometric verification, which consumes sensory data. Sensory-based verification systems empower the continuous authentication narrative – as physiological biometric methods mainly based on photo or video input meet a lot of difficulties in implementation. The research aims to analyze how various components of sensor data from an accelerometer affect and contribute to defining the process of unique person motiondoi:10.20535/srit.2308-8893.2022.2.10 fatcat:5izvc5ewcra2rfrufwdns3exmi