Gait Recognition and Analysis for Person Identification

Gait is defined as the manner or style of walking. Gait recognition is the study of recognizing people by using their locomotion and other bodily actions. It is another form of behavioral biometric system in which unique attributes of an individual's gait are used to determine their identity. Gait Identification technology concentrates on features like locomotive movement of the whole body, pattern of movement of specific body parts and other such physical features in order to determine the identity of an individual even if their facial features are obscured.In today's world new authentication systems are being developed. So, in this paper we would like to highlight the usage of gait as a medium for authentication. This feature becomes useful when the other biometric features are not available. Also gait identification is contactless unlike fingerprinting. So, we propose a model to uniquely identify people based on their walking style. Also, we are building it without using any sensors to capture the movement