Survey on Hand Gesture Recognition Approaches

Abstract-Gesture recognition enables humans to communicate with the machine and interact naturally without any mechanical devices. Gesture recognition can be seen as a way for computers to begin to understand human body language, thus building a richer bridge between machines and humans than primitive text user interface or even GUIs (graphical user interfaces), which still limit the majority of input to keyboard and mouse. Gesture recognition pertains to recognizing meaningful expressions of motion by a human, involving the hands, arms, face, head, and/or body. This paper mainly focuses on Hand Gesture Recognition. Hand gestures provide a separate complementary modality to speech for expressing ones ideas. Hand gesture is a method of non-verbal communication for human beings for its freer expressions much more other than body parts. Hand gesture recognition has greater importance in designing an efficient human computer interaction system. This paper emphasis on different hand gesture approaches, technologies and applications. The approaches present can be mainly divided into Data-Glove Based and Vision Based approaches