HANDY MEDIA PLAYER
Aditya Verma, Vandana Tripathi, Aanchal Srivastava, Abhishek Yadav, Aman Gupta
Department of Computer Science and Engineering
B.Tech, Babu Banarasi Das National Institute of Technology and Management
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ABSTRACT:
We often came across many scenarios where we need to stop the media player automatically when somebody calls us for some work or we suddenly have to move out of the room, but unfortunately, we can’t do it without our own interaction with the system. So, is there any solution to this problem? Can there be any way through which we can resolve this? To answer this question, we’ve hand gestures with us. Hand gestures are a natural form of action that we often use in our daily life for interaction, therefore, to use them as a communication medium with computers generates a new paradigm of interaction with computers. It’s used in people’s daily life frequently and is an important component of body language in linguistics.
They are more natural in interaction. These hand gestures are used to control various applications like window media players, robot control, gaming, etc.
This paper implements hand gesture recognition techniques and develops a gesture-based low-cost input device for controlling the media player through gestures. The recognition of gestures is done by the Image Processing technique. The theoretical analysis of this approach shows how to do recognition in captured images through a webcam. The captured or training images are further intensified using image processing to identify the convexity defects, through which the system decides what action needs to be performed on the media player. This hand gestures recognition technique will not only replace the use of a mouse to control the VLC Player but also provide different gesture vocabulary which will be useful in controlling the application.
KEYWORDS:
Media Player, Recognition, Hand gestures, Image Processing, Convexitydefects