Open AccessContour to Centroid Distance Graph as Feature in Hand Gesture Recognition
Author(s) -
F. Fachri Yanuar Rudi,
Eko Mulyanto Yuniarno
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/536/1/012150
Subject(s) - gesture , centroid , gesture recognition , computer science , computer vision , artificial intelligence , feature (linguistics) , fuzzy logic , graph , wired glove , linguistics , philosophy , theoretical computer science
Hand gesture is often used as a way of communication that is intuitive and convenient in everyday human life. Kinect camera gives cheaper and easier way to research about the hand gesture than data glove. This research combines previous research Finger-Earth Mover’s Distance (FEMD) base and Fuzzy to recognize hand gestures captured by Kinect camera. The results are graphic of each gesture obtained from a distance of centroids to hand contour. This research will be followed by next research applying fuzzy of classifying each graph of hand gesture.