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ISSN: 2321-9939 | ESTD Year: 2013

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Paper Title
Human Computer Interaction And Natural Hand Gestures Recognition System
  Geetika Singla,  Saurabh Mittal

Abstract—Expressive and meaningful body motions involving physical movements associated with hands, ams, and face can be hugely ideal for conveying meaningful information, and interacting with the surroundings. This calls for a posture or a gesture a movement that is dynamic of body part. Generally, there exist many-to-one mappings from concepts to gestures and other method around. Hence gestures are ambiguous and incompletely specified. Each hand gesture recognition depends on character in Sign Language. The related study area of sign gesture recognition is Human Computer Interaction (HCI) and image processing that assist within the solution to this matter. This technology having the potential to progress way that is traditional which user connect to computers through the elimination of input devices such as for instance joysticks, mice and keyboards and allowing the human body to give signals into computer through gestures such as for example finger pointing. This paper provides Ann based gesture recognition approaches has been implemented over the years.

Keywords- HCI, Gesture Recognition, Posture Recognition, Artificial Neural Networks.
Publication Details
Unique Identification Number - IJEDR1604081
Page Number(s) - 555-562
Pubished in - Volume 4 | Issue 4 | November 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Geetika Singla,  Saurabh Mittal,   "Human Computer Interaction And Natural Hand Gestures Recognition System", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 4, pp.555-562, November 2016, Available at :http://www.ijedr.org/papers/IJEDR1604081.pdf
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