Vision-based hand posture detection and recognition for Sign Language — A study

Author

Bilal, Sara ; Akmeliawati, Rini ; El Salami, Momoh Jimoh ; Shafie, Amir A.

Author_Institution

Dept. of Mechatron. Eng., Int. Islamic Univ. Malaysia (IIUM), Kuala Lumpur, Malaysia

fYear

2011

fDate

17-19 May 2011

Firstpage

1

Lastpage

6

Abstract

Unlike general gestures, Sign Languages (SLs) are highly structured so that it provides an appealing test bed for understanding more general principles for hand shape, location and motion trajectory. Hand posture shape in other words static gestures detection and recognition is crucial in SLs and plays an important role within the duration of the motion trajectory. Vision-based hand shape recognition can be accomplished using three approaches 3D hand modelling, appearance-based methods and hand shape analysis. In this survey paper, we show that extracting features from hand shape is so essential during recognition stage for applications such as SL translators.

Keywords

computer vision; feature extraction; gesture recognition; pose estimation; position control; solid modelling; 3D hand modelling; SL translator; appearance based method; feature extraction; hand motion trajectory; hand shape analysis; motion trajectory; sign language; vision based hand posture detection; Computer vision; Face; Feature extraction; Fingers; Gesture recognition; Image color analysis; Shape; feature extraction; hand detection; hand posture recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics (ICOM), 2011 4th International Conference On

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-61284-435-0

Type

conf

DOI

10.1109/ICOM.2011.5937178

Filename

5937178