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2014 (Vol. 7, Issue: 4)
Article Information:

Hand Posture Recognition Human Computer Interface

Abida Sharif, Saira Latif, Muhammad Irfan Sharif and Mudassar Raza
Corresponding Author:  Abida Sharif 

Key words:  Adaboost, database, hand posture recognition, skin detection, SVM , ,
Vol. 7 , (4): 735-739
Submitted Accepted Published
March 05, 2013 May 31, 2013 January 27, 2014
Abstract:

The basic motivation behind this research work is to assist enormous number of disable people to enhance their capabilities regardless of their disability. In particular, we have focused and addressed the deafness and dumbness disability in human beings on technological basis. The aim was to design a system to help such people. Sign language has been used as our database in whole recognition process. The gestures have been read by comparison with available signs in the database. The work is comprised of three major parts. 1) Acquiring images in real time environment through any imaging device. 2) Recognition of those images on the basis of probability by comparing with the database. 3) Finally translating recognized images into possible output. We have used various algorithms to validate the approach and to check the efficiency. In particular, mainly adaboost and Support Vector Machine (SVM) algorithms have been tested. Both of these algorithms worked well but SVM was found to be optimum with respect to time efficiency as compared with adaboost.
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  Cite this Reference:
Abida Sharif, Saira Latif, Muhammad Irfan Sharif and Mudassar Raza, 2014. Hand Posture Recognition Human Computer Interface.  Research Journal of Applied Sciences, Engineering and Technology, 7(4): 735-739.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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