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Publication Date

12-2021

Date of Final Oral Examination (Defense)

7-2-2021

Type of Culminating Activity

Thesis - Boise State University Access Only

Degree Title

Master of Science in Electrical and Computer Engineering

Department

Electrical and Computer Engineering

Supervisory Committee Chair

Sin Ming Loo, Ph.D.

Supervisory Committee Member

Liljana Babinkostova, Ph.D.

Supervisory Committee Member

Charmaine C. Sample, Ph.D.

Abstract

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.

DOI

https://doi.org/10.18122/td/1885/boisestate

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