Open AccessAn Efficient Solution for Hand Gesture Recognition from Video Sequence
Author(s) -
Rodica Prodan,
Ştefan Gheorghe Pentiuc,
Radu-Daniel Vatavu
Publication year - 2012
Publication title -
advances in electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 23
eISSN - 1844-7600
pISSN - 1582-7445
DOI - 10.4316/aece.2012.03013
Subject(s) - computer science , gesture , gesture recognition , sequence (biology) , artificial intelligence , computer vision , speech recognition , human–computer interaction , pattern recognition (psychology) , genetics , biology
The paper describes a system of hand gesture recognition by image processing for human robot interaction. The recognition and interpretation of the hand postures acquired through a video camera allow the control of the robotic arm activity: motion - translation and rotation in 3D - and tightening/releasing the clamp. A gesture dictionary was defined and heuristic algorithms for recognition were developed and tested. The system can be used for academic and industrial purposes, especially for those activities where the movements of the robotic arm were not previously scheduled, for training the robot easier than using a remote control. Besides the gesture dictionary, the novelty of the paper consists in a new technique for detecting the relative positions of the fingers in order to recognize the various hand postures, and in the achievement of a robust system for controlling robots by postures of the hands