Person identification using Kinect sensor

A simple and easy-to-use system is designed for recognition of persons using their walking style. Here Kinect sensor is employed to generate the twenty body joint co-ordinates of the persons. In this proposed algorithm, we have processed five walking data sets from each twenty five persons. Total nine body joint co-ordinates are considered for each frame using Kinect sensor. Once the co-ordinates are obtained, then normalization is carried out based on the coordinate of the hip center for the first frame. All the coordinates are in the 3D space. The total dataset is divided into two parts for training and testing purposes. For the training procedure, 960 walking data sets are processed and the average walking data set is examined for each person. Remaining 320 walking data sets for each person are considered for testing purpose. The recognition procedure comprised with mean and standard deviation parameters with accuracy rate of 92.4786%.