A vision-based gesture recognition system for human-robot interaction

Author

Zhang, Jianjie ; Zhao, Mingguo

Author_Institution

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

fYear

2009

Firstpage

2096

Lastpage

2101

Abstract

The paper describes a gesture recognition system which can effectively recognize static single-hand gestures and be applied in complex environments. The system involves a vocabulary of 20 gestures consisting of Chinese sign language for certain letters and digits. Segmentation based on color learning and normalization based on image moment invariants are used to extract candidate hand regions. Its real-time performance is due to a novel combination of the voting theory and an improved relief algorithm. The module of multiple-region recognition is also added to our system to decrease effects of noise region. The recognition system is now used in our human-robot interaction project.

Keywords

gesture recognition; human-robot interaction; image motion analysis; image segmentation; Chinese sign language; candidate hand regions; color learning; human-robot interaction; image moment invariants; image segmentation; multiple-region recognition; real-time performance; relief algorithm; single-hand gestures; vision-based gesture recognition system; voting theory; Cameras; Handicapped aids; Human robot interaction; Image segmentation; Intelligent robots; Pattern recognition; Robotics and automation; Support vector machine classification; Support vector machines; Vocabulary; gesture recognition; human-robot interaction; relief algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on

Conference_Location

Guilin

Print_ISBN

978-1-4244-4774-9

Electronic_ISBN

978-1-4244-4775-6

Type

conf

DOI

10.1109/ROBIO.2009.5420512

Filename

5420512