Hand Shape Discrimination in Touch Interface toward Personal Authentication on a Tablet Computer

Recently, e-assessment has become popular, and it is now technically possible for people to take exams at home. However, because the testing environment is dramatically different from the traditional one, new technologies are required to prevent cheating. Many studies have addressed testing environments where a keyboard and mouse are used as input devices, but few have focused on an environment using tablet computers, which are widespread nowadays. The aim of our study is to develop a method of detecting impersonation using touch gestures on a tablet computer. We verified that tap gestures performed by different people on a tablet computer can be distinguished by extracting some features from finger tapping images. An experiment using 30 subjects was conducted for verification.