Vision based gesture recognition for human-robot symbiosis

Author

Bhuiyan, Md Al-Amin ; Islam, Md Ezharul ; Begum, Nasima ; Hasanuzzaman, Md ; Hong Liu, Chang ; Ueno, Haruki

Author_Institution

Jahangirnagar Univ., Dhaka

fYear

2007

fDate

27-29 Dec. 2007

Firstpage

1

Lastpage

6

Abstract

This paper presents a vision based gesture recognition system for human-robot symbiosis. The system is based on the visual information of the face and is commenced with the recognition of face gesture by connected component analysis of the skin color segmentation of images in HSV color model and neural network based pattern-matching strategies. On gesture recognition, robot is being instructed to perform certain tasks by issuing commands. The system is capable of recognizing static gestures comprised of the face poses, and dynamic gestures of face in motion. The effectiveness of the system has been justified over some experiments. The system has been demonstrated with an entertainment robot named ldquoAIBOrdquo as a human-robot symbiotic relationship.

Keywords

face recognition; gesture recognition; image colour analysis; image segmentation; man-machine systems; neural nets; pattern matching; robots; AIBO; HSV color model; face gesture; human-robot symbiosis; neural network; pattern-matching strategies; skin color segmentation; vision based gesture recognition; Face detection; Face recognition; Image analysis; Image color analysis; Image recognition; Information analysis; Pattern analysis; Pattern recognition; Robots; Symbiosis; Human-robot symbiosis; contrast equalization; gesture recognition; multi-layer perceptron;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and information technology, 2007. iccit 2007. 10th international conference on

Conference_Location

Dhaka

Print_ISBN

978-1-4244-1550-2

Electronic_ISBN

978-1-4244-1551-9

Type

conf

DOI

10.1109/ICCITECHN.2007.4579430

Filename

4579430