Gesture Recognition using Viola Jones Framework and Contour Detection

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dc.contributor.authorKarthik, S.
dc.contributor.authorRamesh, K.
dc.contributor.authorPrakash, S.B.
dc.contributor.authorMurthy, Y.V.S.
dc.contributor.authorKoolagudi, S.G.
dc.date.accessioned2026-02-06T06:38:57Z
dc.date.issued2017
dc.description.abstractThe work in this paper suggests a method to recognize gestures of a hand using the approaches of contour detection and Viola Jones framework. At initial stage, hand detection algorithm has been applied to detect the hand using machine learning approach. Later, the methods of contour detection and convex hull are considered for gesture recognition. The system has been trained with variety of gestures and hands with different hand positions. © INDIACom-2017.
dc.identifier.citation11th INDIACom; 4th International Conference on "Computing for Sustainable Global Development", INDIACom 2017, 2017, Vol., , p. 631-634
dc.identifier.urihttps://doi.org/
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/32005
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subjectContour detection
dc.subjectConvex hull
dc.subjectGuesture recognition
dc.subjectHand detection
dc.subjectKernel functions
dc.subjectViola-Jones framework
dc.titleGesture Recognition using Viola Jones Framework and Contour Detection

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