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Paper Details
Paper Title
Implementation of gesture recognition system using shape based feature
Authors
  Bhavana R.M,  Manikeshwari B.S
Abstract
Pattern recognition and Gesture recognition are the growing fields of research. It is possible to recognize and classify ten hand gestures based solely on their shapes. Hand Gesture recognition system provides us an innovative, natural, user friendly way of interaction with the computer which is more familiar to the human beings. A hand gesture recognition system can provide an opportunity for a mute person to communicate with normal people without the need of an interpreter. Gesture Recognition has a wide area of application including human machine interaction, sign language, immersive game technology etc. In this paper, we discuss a real-time human computer interaction system based on hand gesture. The whole system consists of three components: hand detection, gesture recognition and human-computer interaction (HCI) based on recognition; and realizes the robust control of mouse and keyboard events with a higher accuracy of gesture recognition.
Keywords- Gesture recognition, convolution neural network, human-computer interaction, mouse cursor control.
Publication Details
Unique Identification Number - IJEDR1803082Page Number(s) - 487-493Pubished in - Volume 6 | Issue 3 | September 2018DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Bhavana R.M,  Manikeshwari B.S,   "Implementation of gesture recognition system using shape based feature", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 3, pp.487-493, September 2018, Available at :http://www.ijedr.org/papers/IJEDR1803082.pdf
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