Title :
Design of embedded gesture recognition system for robotic applications
Author :
Begalinova, Ainur ; Shintemirov, Almas
Author_Institution :
Nazarbayev Univ. Res. & Innovation Syst., Nazarbayev Univ., Astana, Kazakhstan
Abstract :
Recent developments of system-on-chip (SOC) technologies have found a lot of applications in robotic embedded system design. Powerful miniature SOC boards allow development of mobile robots with advanced onboard computation performance executing complex data processing and control algorithms. This paper presents a preliminary results of an embedded system design of a mobile robot platform implementing gesture recognition and control. The system is designed using a BeagleBoard-xM SOC board and an Asus Xtion Live 3D camera. System implementation and analysis of a human hand detection and tracking from depth images are discussed.
Keywords :
gesture recognition; human-robot interaction; mobile robots; object detection; robot vision; system-on-chip; Asus Xtion Live 3D camera; BeagleBoard-xM SOC board; SOC technologies; control algorithm; data processing; depth images; embedded gesture recognition system design; human hand detection analysis; human hand tracking; mobile robot platform; mobile robots; onboard computation performance; powerful miniature SOC boards; robotic applications; robotic embedded system design; system-on-chip technologies; Cameras; Gesture recognition; Robot kinematics; Robot vision systems; Three-dimensional displays; Asus Xtion Live depth camera; BeagleBoard-xM; Embedded system; hand gesture recognition; hand tracking;
Conference_Titel :
Application of Information and Communication Technologies (AICT), 2014 IEEE 8th International Conference on
Conference_Location :
Astana
Print_ISBN :
978-1-4799-4120-9
DOI :
10.1109/ICAICT.2014.7035931
