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

fYear

2014

fDate

15-17 Oct. 2014

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICAICT.2014.7035931

Filename

7035931