SLIC based Hand Gesture Recognition with Artificial Neural Network

Author(s):

Harpreet Kaur , Giani Zail Singh Campus College of Engineering & Technology; Er. Jyoti Rani, Giani Zail Singh Campus College of Engineering & Technology

Keywords:

Artificial Neural Network, Hand Gesture Recognition, Simple Linear Iterative Clustering, Superpixel, Human Computer Interaction

Abstract:

In the past years, the recognition of gesture feature has been glamour attention as a natural human. The communication system can build the human relationships. The mode of communication will be verbal and non-verbal. The non-verbal communication is helpful for deaf people and also helpful in surgeries, remote control etc. There is no need of peripheral device to interact with the computer. This paper mainly focuses on recognition of hand gesture on the basis of simple linear iterative clustering and the implementation is done with the artificial Neural Network. Initially, trained the data by creating a cluster of hand region using SLIC and extract the hand region of interest. After training phase the system is tested on 10 gesture classes and shows the 99.0% average accuracy and 0.219 seconds Recognition time and finally drawn the confusion matrix.

Other Details:

Manuscript Id	:	IJSTEV3I3030
Published in	:	Volume : 3, Issue : 3
Publication Date	:	01/10/2016
Page(s)	:	103-107

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