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Vision-based hand posture detection and recognition for sign language- a study

Bilal, Sara and Akmeliawati, Rini and Salami, Momoh Jimoh Emiyoka and Shafie, Amir Akramin (2011) Vision-based hand posture detection and recognition for sign language- a study. In: 4th International Conference on Mechatronics (ICOM) , 17-19 May, 2011 , Kuala Lumpur.

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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.

Item Type: Conference or Workshop Item (Full Paper)
Uncontrolled Keywords: Hand detection, hand posture recognition, feature extraction.
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Prof Momoh-Jimoh Salami
Date Deposited: 10 Sep 2011 23:11
Last Modified: 10 Sep 2011 23:11
URI: http://irep.iium.edu.my/id/eprint/1825

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