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Date of Final Oral Examination (Defense)
Type of Culminating Activity
Thesis - Boise State University Access Only
Master of Science in Electrical and Computer Engineering
Electrical and Computer Engineering
Sin Ming Loo, Ph.D.
Liljana Babinkostova, Ph.D.
Charmaine C. Sample, Ph.D.
As technology evolves, we need better tools to secure our sensitive data on our smartphones. The common method is two factor authentication. This thesis offers a unique biometric authentication method. This authentication method was utilized by solving a simple maze. It is based on the idea that abnormal hand gestures could be flagged as a security threat. The maze is just a simple tool designed to limit the user's hand movements and compare it against the same user's machine learning model. The maze captures the uniqueness of writing - graphology. This thesis shows two different maze configurations. Maze A is wider and each participant solves the maze three time periods throughout the day (i.e., morning, afternoon, night). Maze B is narrower and each participant solved the maze within one sitting. The data collected by this thesis shows 93:66% model prediction accuracy for maze A, and 94% model prediction accuracy on maze B.
Kesem, Liron, "AI Hand Pattern Authentication Method" (2021). Boise State University Theses and Dissertations. 1885.