Microsoft Kinect a depth camera, in this regard is a highly successful opening for real world visual applications. Recent introduction of compact multimodal sensors like the Microsoft Kinect has led the capturing of human movements. However, research efforts continue to cross such limitations. The multimodal gesture recognition is needed to cater the needs of customers.
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The issue with regard to gesture interaction is how to create hand gesture knowledge recognised by computers accurately. However, these approaches are inconvenient compared with touch less vision based solutions. Another type of hand gesture recognition systems recognise and segment hands using marker-aided methods (Wang and Popović, 2009 Ren et al., 2011).
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Traditional hand gesture recognition systems detect and segment hands based on the approaches including employing colour gloves (Wang and Popović, 2009), and skin colour detection (Bretzner et al., 2002 Argyros and Lourakis, 2004, 2006 Lee et al., 2007 Lee and Hollerer, 2009), both of them have merits and demerits.
It is used in virtual reality and computer games (Wachs et al., 2011), automobiles and smart devices. Hand gestures are congenial in the interaction with computers more realistically. Efficient and accurate recognition of gesture becomes the subject of challenge as well as a matter of theoretical interest. The flexibility of hand gives more convenience in expressing inner thoughts and give a way to interaction with the external environment. In the fast growing world of electronics, gesture based technology is an inevitable subject of discussion.
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