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Real Time Hand Gesture Recognition System

Author(s):

Mr. Bhosale Sachin Sampat , .Dr.V.V.P.Instt.of Technology &Engg.(Polytechnic),Loni; Mr. Sabale. R. P., .Dr.V.V.P.Instt.of Technology &Engg.(Polytechnic),Loni; Mr. Gadekar P. P., .Dr.V.V.P.Instt.of Technology &Engg.(Polytechnic),Loni; Mr. Kumawat R. P., .Dr.V.V.P.Instt.of Technology &Engg.(Polytechnic),Loni; Mr. Shaikh A. A., .Dr.V.V.P.Instt.of Technology &Engg.(Polytechnic),Loni

Keywords:

Gesture, Blob Detection, Hue, Saturation, Value

Abstract

Human-machine interfaces are playing a role of growing importance as computer technology continues to evolve. Keyboards have been replaced by handwriting recognition in Palm and Pocket PC PDAs. Motivated by the desire to provide users with an intuitive gesture input system, we developed a system Human Gesture Recognition to recognize hand gestures representations. Gesture refers to a particular pose and/or movement of the body parts, such as hand, head, face etc., so as to convey some message. Accordingly, one important direction of research in gesture recognition is concerned with hand gestures formed by different hand shapes, positions, orientations and movements. While static hand gestures are modeled in terms of hand configuration, as defined by the flex angles of the fingers and palm orientation, dynamic hand gestures include hand trajectories and orientation in addition to these. So, appropriate interpretation of dynamic gestures on the basis of hand movement in addition to shape and position is necessary for recognition.

Other Details

Paper ID: IJSRDV6I60089
Published in: Volume : 6, Issue : 6
Publication Date: 01/09/2018
Page(s): 85-88

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