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@article{143660,
        author = {RESHMA KALEPATIL and Prof. V. D.  Shinde},
        title = {Different Approaches Of Gesture Recognition Techniques },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {12},
        pages = {373-377},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143660},
        abstract = {Hand gesture recognition has become one of the key techniques of HCI (Human Computer Interaction). Gesture recognition pertains to recognizing meaningful expressions of motion by a human, involving the hands, arms, face, head, and/or body. Hand gestures provide a separate complementary modality to speech for expressing ones ideas. Hand gesture is a method of non-verbal communication. Hand gesture recognition has greater importance in designing an efficient human computer interaction system. The approaches for hand gesture recognition, such as vision-based, glove-based and depth-based, are contrasted briefly in this paper. Currently, the new finger identification and hand gesture recognition technique with Kinect depth data is the most popular research direction. This paper is intended to review different approaches along with a brief survey of various methods. },
        keywords = {Glove based gesture recognition, Hand gesture recognition, Kinect, vision based gesture recognition},
        month = {},
        }