An Approach of Human Identification based on Gait

Abstract

Gait is a behavioral biometrics which has gains more attention for research. Advantages of human gait are that it can be captured from a distance without knowledge of the subject. Gait is defined as manner of person's walking. A wide range of research have been done in this filed so far. In our research work, an approach has been proposed for identification of human being based on their gait. We have evaluated result analysis on CASIA Dataset. We have considered right side view of 17 subjects and three features for result evaluation. In this paper two type of analysis have been done and find out which analysis have given better recognition rate.

Personal Re-identification Using Incremental Dynamic Time Warping Algorithm and Body Measuremen

“…The movement of the human body presents unique patterns that can identify individuals by the way they walk, as illustrated in Figure 2. There is a sequence of alternative footprints specified in an individual's movement wherein the movement of both feet creates a unique cyclic for each person [10,11] whether walking, jogging, running, jumping, climbing stairs, The gait state can be analyzed as a biometric measurement without contact with the person being scrutinized. This makes it a very versatile method for many purposes.…”