Embedded gesture recognition system for robotic applications

A. Begalinova, A. Shintemirov

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)81-89
Number of pages9
JournalEurasian Journal of Mathematical and Computer Applications
Volume2
Issue number4
Publication statusPublished - Jan 1 2014

Fingerprint

Gesture recognition
Gesture Recognition
Robotics
Embedded systems
Mobile Robot
Embedded Systems
Mobile robots
System Design
Systems analysis
Control Algorithm
Camera
Cameras
System-on-chip

Keywords

  • Asus Xtion Live depth camera
  • BeagleBoard-xM
  • Embedded system
  • Hand gesture recognition
  • Hand tracking

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Applied Mathematics
  • Computational Mathematics
  • Mathematical Physics
  • Modelling and Simulation

Cite this

Embedded gesture recognition system for robotic applications. / Begalinova, A.; Shintemirov, A.

In: Eurasian Journal of Mathematical and Computer Applications, Vol. 2, No. 4, 01.01.2014, p. 81-89.

Research output: Contribution to journalArticle

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