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M.Tech / M.E / PhD Thesis | Electronics & Communication Engineering | India | Volume 3 Issue 6, June 2014

Vision-Based Hand Gestures to Control Music in Human Machine Interaction

Seema Lalitkumar Khairnar Devkule | Gunjan Rathore

Abstract: Human machine interaction is a study looking at the transmission and communication of information; emotion between human and machines. When interacting with machines; an interface for natural and intuitive interactions will be important for the bridging of relation between human and machines. The hand gesture movements in guessing system can be the most natural language of all for communication and interaction. In this motion hand gesture recognition to control music as a system in human machine interaction. By analyzing body movements at the moment of signing to determine the timing of the signing gesture completion; and through image analysis and recognition; this system can categorize the signs of the users. Thus allowing no need of the users for the button; keyboard; mouse; or any special device for the input interface; in this system; robot used for interacting with the human. This mobile platform robot is wirelessly connected with computer system. Computer systems analyses and recognize movement of hand gesture. Thus depending on the result mobile robot will change its current position.

Keywords: hand gestures, gesture recognition, HUMAN MACHINE INTERACTION

Edition: Volume 3 Issue 6, June 2014,

Pages: 2201 - 2205

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