Description

Hand gesture has been one of the most common and natural communication media among human being. Hand gesture recognition research has gained a lot of attentions because of its applications for interactive human-machine interface and virtual environments. Most of the recent works related to hand gesture interface techniques has been categorized as: glove-based method and vision-based method. Glove-based gesture interfaces require the user to wear a cumbersome device, and generally carry a load of cables that connect the device to a computer. The need to enhance communication between humans and computers has been instrumental in determining new communication models, and accordingly new ways of interacting with machines. A vision based Hand Gesture Recognition system can be useful to recognize hand gesture in air, with devices like camera equipped smart phones and cameras connected to computers. The fast improvement of smartphones during the last decade has been predominantly determined by interaction and visualization innovations. Despite the fact that touchscreens have significantly enhanced interaction technology, future smartphone clients will request more natural inputs, for example, free-hand association in 3D space. Gesture recognition is a growing field of research among various human computer interactions; hand gesture recognition is very popular for interacting between human and machines. It is nonverbal way of communication and this research area is full of innovative approaches. This paper aims at recognizing basic hand gestures. The main features used are centroid in the hand, presence of thumb and number of peaks in the hand gesture. In this paper for image acquisition android camera is used.