Graphical gesture-based authentication for non-contact access control

Access control is regarded as absolutely crucial in any environment, especially in home and work environments where sensitive resources are accessed. In this paper, we propose a non-contact, gesture-based authentication alternative to password authentication. The solution focuses on capturing specific graphical information, in the form of patterns drawn in the air, as a means of authentication. The solution presents a model, validated by a prototype in order to assess the solution against various metrics. This solution has achieved promising performance results, related to the false acceptance rate (FAR), false rejection rate (FRR), failure to enroll rate (FTER) and failure to acquire rate (FTAR), showing the ability to potentially compete with existing biometric systems. Furthermore, the solution succeeds in investigating a solution that is more difficult to subvert through the integration of various parameters.

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