View-invariant hand-posture recognition method for Soft-Remocon-system

Hyoyoung Jang, Jun Hyeong Do, Jinwoo Jung, Kwang Hyun Park, Z. Zenn Bien

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

4 Scopus citations

Abstract

The hand-posture-based user interface has been considered as an alternative to human-computer interaction (HCI), or for human-robot interaction, but many difficulties remain to be resolved. For natural recognition of hand-posture by a vision device, we find that view-point-invariance is one of the most required characteristics. This paper presents a hand-posture recognition method that is robust against various viewpoints. Observing that when the viewing-direction is changed, the same appearance feature does not necessarily match the 3D structure, and vice versa, we propose a 2-Iayered hand-posture database structure in which the 2D appearance-based method and the 3D-based method are complementarity combined. We have tested the approach in an experiment for 15 different viewing directions.

Original languageEnglish
Title of host publication2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Pages295-300
Number of pages6
StatePublished - 2004
Event2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) - Sendai, Japan
Duration: 28 Sep 20042 Oct 2004

Publication series

Name2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Volume1

Conference

Conference2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Country/TerritoryJapan
CitySendai
Period28/09/042/10/04

Keywords

  • Hand-posture recognition
  • Soft-remoconsystem
  • View-invariance

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