This paper focuses on the effectiveness of the gait-based authentication of users by using a camera. The authentication is possible as walking movement is considered a behavioural biometric technology, so it is inherent and individual to each human being. People can be successfully identified by walking 4m in a corridor in the most natural way. Different machine learning models were trained and tested achieving good accuracy rates, particularly good results were achieved with Linear Discriminant Analysis (LDA) with a 97.33% of accuracy. This biometric system allows authentication without contact and using masks which make it safe to users in the current COVID-19 pandemic situation.
Gait-Based Authentication Using a RGB Camera