International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 148 - Issue 14 |
Published: Aug 2016 |
Authors: Lesha Bhansali, Meera Narvekar |
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Lesha Bhansali, Meera Narvekar . Gesture Recognition to Make Umpire Decisions. International Journal of Computer Applications. 148, 14 (Aug 2016), 26-29. DOI=10.5120/ijca2016911312
@article{ 10.5120/ijca2016911312, author = { Lesha Bhansali,Meera Narvekar }, title = { Gesture Recognition to Make Umpire Decisions }, journal = { International Journal of Computer Applications }, year = { 2016 }, volume = { 148 }, number = { 14 }, pages = { 26-29 }, doi = { 10.5120/ijca2016911312 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2016 %A Lesha Bhansali %A Meera Narvekar %T Gesture Recognition to Make Umpire Decisions%T %J International Journal of Computer Applications %V 148 %N 14 %P 26-29 %R 10.5120/ijca2016911312 %I Foundation of Computer Science (FCS), NY, USA
With the growing increase of the utilization of technology in sports; our novel project the Umpire gesture Recognition System aims squarely to introduce a more robust technology to show Umpire choices with the assistance of Gesture Recognition and trailing of hand movement of the Umpire. This technology helps to alleviate the burden of the score-keepers. It conjointly minimizes errors in displaying Umpire choices therefore adding to a more robust viewing expertise. This paper presents four easy but economical ways to implement hand gesture recognition specifically Subtraction, Gradient, Principal elements Analysis and Rotation Invariant. The ways used were in to retrieve the right matches. The results supported speed and accuracy was analysed.