Volume : IV, Issue : IV, April - 2015
Gait Recognition Using SVM and BPNN
Shaveta Chauhan, Astt. Prof. Atul Gautam
Abstract :
In this paper present an intelligent human identification system to handle gait analysis on modeling dynamic
human behaviors. Here propose to find out recognize illegitimate human through their gait behaviors. Since human
behavior belong to a dynamic biometrical feature which is very complicated and difficult to imitate compared with static features such as
passwords and fingerprints; we find that this novel idea of utilizing human dynamic features for enhanced security application is more effective. This paper: first describe our experimental platform for collecting and modeling human behaviors. Then compare Back propagation
neural network for data preprocessing. To Use machine learning method of support vector machine (SVM), derive the individual behavior
model and we then demonstrate the procedure for recognizing different human by analyzing the corresponding models. Therefore experimental results of learning algorithms and evaluation are described.
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DOI : 10.36106/ijsr
Cite This Article:
Shaveta Chauhan, Astt. Prof. Atul Gautam Gait Recognition Using SVM and BPNN International Journal of Scientific Research, Vol : 4, Issue : 4 April 2015
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Shaveta Chauhan, Astt. Prof. Atul Gautam Gait Recognition Using SVM and BPNN International Journal of Scientific Research, Vol : 4, Issue : 4 April 2015
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