Stereo Music System Control using Vision based Static Hand Gesture Recognition

Human gesture plays a very crucial role for communication with the person and even with machines. Now a day human gesture is very famous for assisting deaf and dumb person but it can also be used to control machines in an efficient manner. This paper is taking the only example of the machine as a stereo music system for controlling it with the help of seven different human static hand gestures. This approach uses vision-based static hand gesture recognition. The wavelet transform is used for feature extractor from the image and neural network is used for classification purpose. This system is trained and tested with three different databases of images and thus the result is derived that is 97.14% which is highly satisfactory.