Biometric Identification using Gait Analysis by Deep Learning

Abstract

Generally, biometric authentication has been implemented on human features like voice,fingerprint,iris scan, and facial recognition [1]. Humans can recognize other people based on their walking pattern based on their previous learning experience [1]. This walking pattern of the person is termed GAIT [1]. This GAIT can be used for biometric authentication of a person [1]. The system is meant in such some way that it focuses on simple usage, utility, and measurability [1]. The project can be used in facilities which require accurate identification of a person for security purpose.