Modern methods of human identification using gait characteristics

Abstract

Automatic systems for personal identification based on gait occupy an important place among biometric identification systems. The development of information technologies has enabled a very intensive development and application of these systems in criminal and security sciences. This paper presents the systems of biometric personal identification using gait characteristics based on input data collected using different techniques, algorithms for extracting and selecting characteristics, different classifiers in the classification process, including databases used to evaluate and compare the efficiency of the system.