A Fast Algorithm for Hand Gesture Recognition Using Relief

Author

Zhang, Jianjie ; Lin, Hao ; Zhao, Mingguo

Author_Institution

Dept. of Autom., Tsinghua Univ., Beijing, China

Volume

1

fYear

2009

fDate

14-16 Aug. 2009

Firstpage

8

Lastpage

12

Abstract

The paper describes a gesture recognition algorithm which can effectively recognize single-hand gestures in real time under complex environment. The system involves a vocabulary of 20 gestures consisted by part of Chinese sign language letter spelling alphabet and digits. A new complexion model has been proposed to extract hand regions under a variety of lighting conditions. Real-time performance is due to a novel combination of voting theory and relief algorithm. This system is used in our mobile robot control project.

Keywords

gesture recognition; human-robot interaction; mobile robots; robot vision; vocabulary; Chinese sign language letter spelling alphabet; Chinese sign language letter spelling digits; complexion model; hand gesture recognition; mobile robot control project; relief algorithm; voting theory; Automation; Fuzzy systems; Handicapped aids; Mobile robots; Pattern recognition; Real time systems; Robot control; Vocabulary; Voting; Yarn; complexion model; gesture recognition; relief algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on

Conference_Location

Tianjin

Print_ISBN

978-0-7695-3735-1

Type

conf

DOI

10.1109/FSKD.2009.210

Filename

5358668