Hand Gesture Recognition using Shape-based Image Features for Music Controller

The main objective of this article is to develop a system for recognizing the user’s hand gesture by detecting some significant shape-based features. The features are orientation, finger status, thumb in either in folded or raised form as well posture of hand fingers of hand, and their relevant position in the given input image. There is a similarity between the shape of the hands and the fingers of the human. The goal of work is to make a real-time system for passing the information to other devices or controlling the device by recognizing the gesture motion. The suggested method is particularly intended for use in a multitasking environment. While working on multiple programs on desktop at the same time like hearing music and playing in different windows. To skip from one song to another song or stop a song some appropriate action must be taken. This is a long and time-consuming procedure. Users will save time and remain connected to the job that can be executed this activity without using the music system and with only one hand movement. The Music Controller switches or pause the current music track by making a simple hand movement in front of the webcam.