Analysis of Biometric Identification Methods Used in Auto-Proctoring

The chapter discusses various methods of biometric identification of the student’s identity used in remote control activities. The analysis of the priorities and vulnerabilities of biometric identification methods is carried out; the conclusion is presented about the appropriateness of their use during proctoring. The chapter also presents the possibility of identification by facial structure, keyboard hand-writing, ECG, as well as features of the iris and voice, which are the most promising for use in a wide educational practice. The chapter provides a comparative analysis of biometric identification methods used in auto-proctoring by a set of factors and is presented in the form of a table.