Vulnerability to individual authentication is a major concern in a number of real time contexts, for example: airport, hospital, workplace, vehicle registrations, metro stations, etc. This problem has had a huge effect on the need for surveillance monitoring systems. Behavioural biometric trait gait has established as a prominent means of surveillance monitoring method because of its inconspicuous and unperceivable nature. This is also helpful because can recognize anyone by their walking style. In this article we have formulated ten research papers which provide the brief information on the recent gait databases available, pre-processing methods, feature extraction and classification methods. We had formulated the factors influencing the recognition with research gap which helps for the new comers in the gait recognition system. In last the proposed framework is formulated in brief.
CITATION STYLE
Amogha, B., & Deshpande, R. (2023). A Review on Behavioural Biometric GAIT Recognition. In Lecture Notes in Networks and Systems (Vol. 540, pp. 89–97). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-6088-8_9
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