View-invariant hand-posture recognition for soft-remocon-system

Author

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

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., KAIST, Daejeon, South Korea

Volume

1

fYear

2004

fDate

28 Sept.-2 Oct. 2004

Firstpage

295

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-in variance 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-layered 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.

Keywords

control engineering computing; gesture recognition; human computer interaction; telecontrol; hand posture based user interface; human computer interaction; human robot interaction; soft remocon system; view invariant hand posture recognition; Cameras; Control systems; Feature extraction; Home appliances; Human computer interaction; Image recognition; Robustness; Spatial databases; Testing; User interfaces;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Robots and Systems, 2004. (IROS 2004). Proceedings. 2004 IEEE/RSJ International Conference on

Print_ISBN

0-7803-8463-6

Type

conf

DOI

10.1109/IROS.2004.1389367

Filename

1389367