DocumentCode :
155835
Title :
Person identification using Kinect sensor
Author :
Sadhu, Arup Kumar ; Saha, Simanto ; Konar, Amit ; Janarthanan, R.
Author_Institution :
Electron. & Telecommun. Eng. Dept., Jadavpur Univ., Kolkata, India
fYear :
2014
fDate :
Jan. 31 2014-Feb. 2 2014
Firstpage :
214
Lastpage :
218
Abstract :
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%.
Keywords :
gait analysis; image recognition; image sensors; Kinect sensor; mean parameter; person identification; person recognition; standard deviation parameter; testing purpose; training purpose; walking data sets; walking style; Accuracy; Elbow; Hip; Joints; Legged locomotion; Standards; Trajectory; Coordinate normalization; path trajectory; standard deviation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Instrumentation, Energy and Communication (CIEC), 2014 International Conference on
Conference_Location :
Calcutta
Type :
conf
DOI :
10.1109/CIEC.2014.6959081
Filename :
6959081
Link To Document :
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