Finger Gesture Detection and Application Using Hue Saturation Value
Author(s) -
Joy Mazumder,
Laila Naznin Nahar,
Md. Moin Uddin Atique
Publication year - 2018
Publication title -
international journal of image graphics and signal processing
Language(s) - English
Resource type - Journals
eISSN - 2074-9082
pISSN - 2074-9074
DOI - 10.5815/ijigsp.2018.08.04
Subject(s) - hue , artificial intelligence , middle finger , computer vision , computer science , gesture , hsl and hsv , finger print , identification (biology) , little finger , index finger , anatomy , medicine , thumb , biology , virus , botany , virology
In this paper, we developed a mathematical model for finger gesture identification using two colored glove. The glove is designed in such a manner that wristband and middle finger of the glove are marked by blue color and other fingers are marked by red color. HSV values of those colors are implicated in order to identify red and blue colors. After detecting colors, two processes are employed for identification of fingers. One of them is the angle created at the wristband center between the middle finger and any other fingers. Other is examining the ratio between the wristband-middle finger distance and the projection of the wristband and other fingers distance on wrist-middle finger joining line. For both processes, the middle finger must present in order to identify the fingers. After identification of fingers gesture using both methods, an application of finger detection is presented here by changing a PowerPoint slide. This mathematical model was tested on several conditions and got the accuracy of more than 82%.
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