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

Bilal, Sara Mohammed Osman Saleh 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: 2011 4th International Conference on Mechatronics: Integrated Engineering for Industrial and Societal Development (ICOM 2011), 17-19 May, 2011, Kuala Lumpur, Malaysia.

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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)
Additional Information: 5806/5364 ISBN: 978-1-61284-435-0 (P) DOI:10.1109/ICOM.2011.5937178
Uncontrolled Keywords: hand detection, hand posture recognition, feature extraction
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Prof. Dr. Rini Akmeliawati
Date Deposited: 10 Nov 2011 12:10
Last Modified: 01 Nov 2013 14:14
URI: http://irep.iium.edu.my/id/eprint/5364

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