SISTEM PENGENALAN GESTURE TANGAN UNTUK KENDALI GERAK MOBILE ROBOT BERBASIS PENGOLAHAN CITRA
SISTEM PENGENALAN GESTURE TANGAN UNTUK KENDALI GERAK MOBILE ROBOT BERBASIS PENGOLAHAN CITRA
Abstract-Implementation of hand gesture recognition systemfor navigation of mobile robots using Bluetooth communicationmedia apply image processing techniques is presented. The preprocessingimage of the camera capture is resized, and color spaceconversion from RGB (red, green, blue) to HSV (hue, saturation,value), then segmentation process is performed to remove thebackground and get a hand gesture object. Feature extractionusing methods Convexity Hull Defect to get the point finger tips,calculate the moment and the Centre of Gravity (CoG), then lookfor the angle parameter finger tips and the Euclidean distance, it’susing the process of pattern recognition hand gestures. The testresults of the system obtained on hand gesture recognitionaccuracy rate of 80.4%, or there is an error amounting to 19.6 %.In implementation systems show mobile robot navigation system isgood enough to control the distance of more than 15 meters.Keywords: Gesture, control, HSV, Convexity Hull Defect,Euclidean Distance
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SISTEM PENGENALAN GESTURE TANGAN UNTUK KENDALI GERAK MOBILE ROBOT BERBASIS PENGOLAHAN CITRA
2017-01-22
KNTIA; Vol 4 (2016): SMART INFORMATION TECHNOLOGY (IT) UNTUK MENDUKUNG KETERSEDIAAN INFORMASI
Article (Journal)
Electronic Resource
English
| DDC: | 629 |
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