Title :
A robot control approach based on multi-level data fusion
Author :
Kang, Sangseung ; Kim, Jaehong ; Sohn, Joochan
Author_Institution :
Robot/Cognitive Syst. Res. Dept., ETRI, Daejeon, South Korea
Abstract :
As the digital convergence trend becomes common, much attention is being paid to a device provided with a gesture sensor. In this paper, we propose a system for recognizing user´s gestures and controlling a robot based on multi-level data fusion. The system includes some function modules such as sensing of movements, recognition of hand gestures, mapping into particular gesture commands, and controlling robot actuators. It can be useful to get various information about the movements of users using a glove-type mediated interface device. The recognized gestures can be categorized into predefined information or mapped into particular symbolic features. That makes the various applications possible and helps us to control intuitively.
Keywords :
data gloves; emotion recognition; human-robot interaction; sensor fusion; actuators; digital convergence; gesture sensor; glove-type mediated interface device; hand gesture recognition; mapping; multilevel data fusion; robot control; Data gloves; Data mining; Feature extraction; Gesture recognition; Robot control; Robot sensing systems; Data Fusion; Hand gesture; Mediated interface; Robot control;
Conference_Titel :
Control Automation and Systems (ICCAS), 2010 International Conference on
Conference_Location :
Gyeonggi-do
Print_ISBN :
978-1-4244-7453-0
Electronic_ISBN :
978-89-93215-02-1