Thesis Defense
Monday, June 3
Title: Sketch Recognition Based Classification for Eye Movement Biometrics in Virtual Reality
Abstract:
Biometrics is an active area of research in the HCI, pattern recognition, and machine learning communities. In addition to various physiological features such as fingerprint, DNA, and facial recognition, there has been an interest in using behavioral biometric modalities such as gait, eye movement patterns, keystroke dynamics signature, etc. In this work, we explore the effectiveness of using eye movement as a biometric modality by treating it as a sketch and develop features using sketch recognition techniques. For testing our methods, we built a system for authentication in virtual reality (VR) that combines eye movement biometric with passcode based authentication for an additional layer of security against spoofing attacks.
Bio:Siddharth is currently a Masters student in Computer Science at Texas A&M University, working in the Sketch Recognition Lab. His research interests are in computer human interaction, especially the application of statistics and machine learning to understand human perception and cognitive behavior.
Advisor: Dr. Tracy Hammond
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