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A Survey On Hand Gesture Recognition System For Human Computer Interaction(HCI)

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  • Nirali A. Patel
  • Swati J. Patel

Abstract

As Computers turn out to be more unavoidable in the public eye, encouraging characteristic human– Computer Interaction (HCI) will positively affect their utilization. Subsequently, there has been developing enthusiasm for the advancement of new methodologies and innovations for crossing over the human computer hindrance. A definitive point is to convey HCI to an administration where associations with PCs will be as normal as a connection between humans, and to this end, incorporating gestures in HCI is a crucial research area. Gestures have for some time been considered as a collaboration strategy that can conceivably convey more innovative, pure and natural strategies for speaking with our computers. This paper gives an examination of provisional surveys done in this area. The adoption of hand gestures as a characteristic interface fills in as a spurring power for look into in gesture anatomy, its portrayals and recognition strategies, programming stages and structures which are examined in this paper. It centre’s around the three principle periods of hand gesture recognition i.e. discovery, tracking and recognition. This paper likewise gives an examination of existing writing identified with gesture recognition frameworks for human PC cooperation by classifying it under various key parameters. The primary objective of this review is to give analysts in the field of gesture based HCI with an outline of advance accomplished to date.

Suggested Citation

  • Nirali A. Patel & Swati J. Patel, 2018. "A Survey On Hand Gesture Recognition System For Human Computer Interaction(HCI)," International Journal of Scientific Research in Science, Engineering and Technology, International Journal of Scientific Research in Science, Engineering and Technology, vol. 4(4), pages 1061-1065, April.
  • Handle: RePEc:ijs:ijsrse:v4:y2018:i4:id:hijsrset1844366
    Note: Article URL: https://ijsrset.com/IJSRSET1844366
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