Robust vision-based hand tracking using single camera for ubiquitous 3D gesture interaction

Sergio Rodriguez, Artzai Picon, Aritz Villodas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

Along History, the gestures have been one of the most natural interaction methods of the Human Being. This work proposes a novel 3D interaction technique based on computer vision for human-computer gesture interaction. The main contribution to the interaction field is that this technique implements and improves on-the-edge computer vision algorithms offering a low cost solution providing robustness against scenario and user diversity. Thanks to these characteristics, this system allows the humancomputer ubiquitous interaction in a robust way.

Original languageEnglish
Title of host publication3DUI 2010 - IEEE Symposium on 3D User Interfaces 2010, Proceedings
Pages135-136
Number of pages2
DOIs
Publication statusPublished - 2010
EventIEEE Symposium on 3D User Interfaces 2010, 3DUI 2010 - Waltham, MA, United States
Duration: 20 Mar 201021 Mar 2010

Publication series

Name3DUI 2010 - IEEE Symposium on 3D User Interfaces 2010, Proceedings

Conference

ConferenceIEEE Symposium on 3D User Interfaces 2010, 3DUI 2010
Country/TerritoryUnited States
CityWaltham, MA
Period20/03/1021/03/10

Keywords

  • Adaboost
  • Computer vision
  • I.4.8 [Image Processing and Computer Vision]: Scene Analysis - Depth cues
  • I.4.8 [Image Processing and Computer Vision]: Scene Analysis - Object recognition
  • I.4.8 [Image Processing and Computer Vision]: Scene Analysis - Shape
  • I.4.8 [Image Processing and Computer Vision]: Scene Analysis - Tracking
  • Kalman filter
  • User interaction

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