Design of embedded gesture recognition system for robotic applications

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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
Title of host publication8th IEEE International Conference on Application of Information and Communication Technologies, AICT 2014 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479941209
DOIs
Publication statusPublished - 2014
Event8th IEEE International Conference on Application of Information and Communication Technologies, AICT 2014 - Astana, Kazakhstan
Duration: Oct 15 2014Oct 17 2014

Publication series

Name8th IEEE International Conference on Application of Information and Communication Technologies, AICT 2014 - Conference Proceedings

Other

Other8th IEEE International Conference on Application of Information and Communication Technologies, AICT 2014
Country/TerritoryKazakhstan
CityAstana
Period10/15/1410/17/14

Keywords

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

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Computer Networks and Communications

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