On Gesture Recognition for Human-Robot Symbiosis

Author

Bhuiyan, Md Al-Amin

Author_Institution

Dept. of Comput. Sci. & Eng., Jahangirnagar Univ., Dhaka

fYear

2006

Firstpage

541

Lastpage

545

Abstract

This paper presents a vision based gesture recognition system for human-robot symbiosis. The system is based on visual information of the face gestures recognition by connected component analysis of the skin color segmentation of images in HSV color model and PCA based pattern-matching strategies. On gesture recognition, the robot is being instructed to perform certain tasks by issuing commands. The system has been demonstrated with the implementation of the algorithm to interact with a robot named, AIBO-MIN for human-robot symbiotic relationship

Keywords

face recognition; gesture recognition; image colour analysis; image matching; image segmentation; man-machine systems; principal component analysis; robot vision; HSV color model; computer vision; face gesture recognition; human-robot symbiosis; pattern-matching; principal component analysis; skin color image segmentation; vision based gesture recognition; Face detection; Face recognition; Image analysis; Image color analysis; Image recognition; Information analysis; Pattern analysis; Pattern recognition; Skin; Symbiosis; AIBO-MIN; Computer vision; Gesture command; Gesture recognition; HSV color model; Human-robot symbiosis; PCA;

fLanguage

English

Publisher

ieee

Conference_Titel

Robot and Human Interactive Communication, 2006. ROMAN 2006. The 15th IEEE International Symposium on

Conference_Location

Hatfield

Print_ISBN

1-4244-0565-3

Electronic_ISBN

1-4244-0565-3

Type

conf

DOI

10.1109/ROMAN.2006.314445

Filename

4107863