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Biometric Identification Using Gait Analysis by Deep Learning

The walking pattern of a human being is termed GAIT. These Gait can be used for biometric identification. The COVID-19 pandemic situation has prompted us to change the ways of doing certain things in a traditional approach one of which includes, traditional biometric authentication systems which are physical contact based. This technology can be used as a method of contactless biometric authentication system in which contact chain forming between the users is prevented. The project that may be supported by supervised learning will acknowledge someone from the Gait features.