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What is SM Do 250332 about?
This research article presents a novel biometric authentication framework utilizing force and displacement data from unnatural index finger movements, optimized through deep learning algorithms. The study achieved an impressive average accuracy rate of 99.4% and an F1 score of 75.5%, demonstrating the potential of these biometric traits for enhanced security systems. The findings highlight the robustness and practicality of using behavioral biometrics in user authentication processes.
- Author
- Moshayedi
- Language
- EN