Title :
A vision-based gesture recognition system for human-robot interaction
Author :
Zhang, Jianjie ; Zhao, Mingguo
Author_Institution :
Dept. of Autom., Tsinhua Univ., Beijing, China
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;
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
DOI :
10.1109/ROBIO.2009.5420512
