Personal Identification and Authentication Using Blink with Smart Glasses

In this study, we propose a personal identification and authentication system using skin deformation during blinking. The distance between the glasses-type device and the face surface is measured during the blink using an optical sensor. The proposed method achieves an identification accuracy of 97.1% for a sample size of seven people. The average Equal Error Rate was 6.4% when authenticating individuals. We investigate the validity of personal identification and personal authentication by prompting users to perform two different blink patterns.