Title :
Vision-based gesture recognition for human-computer interaction and mobile robot´s freight ramp control
Author :
Koceski, Saso ; Koceska, Natasa
Author_Institution :
Univ. “Goce Delcev”, Stip, Macedonia
Abstract :
Aiming at the use of hand gestures for human-computer interaction, this paper presents a novel approach for hand gesture-based control of mobile robot´s freight ramp. The research was mainly focused on solving some of the most important problems that current HRI (Human-Robot Interaction) systems fight with. Presenting a simple approach to recognizing gestures through image processing techniques and a single web camera, we address the problem of hand gestures recognition using motion detection and algorithm based on histograms, which makes it efficient in unconstrained environments, easy to implement and fast enough.
Keywords :
gesture recognition; human computer interaction; human-robot interaction; mobile robots; motion estimation; hand gesture based control; human computer interaction; human robot interaction; image processing technique; mobile robots freight ramp control; motion detection; vision based gesture recognition; web camera; Gesture recognition; Histograms; Human computer interaction; Motion detection; Robot sensing systems; Streaming media; Graphical User Interface; Human computer interaction (HCI); Human-Robot Interaction (HRI); gesture-based control;
Conference_Titel :
Information Technology Interfaces (ITI), 2010 32nd International Conference on
Conference_Location :
Cavtat/Dubrovnik
Print_ISBN :
978-1-4244-5732-8