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Generating realistic, animated human gestures in order to model, analyse and recognize Irish Sign Language
Péporté, Michèle
The aim of this thesis is to generate a gesture recognition system which can recognize several signs of Irish Sign Language (ISL). This project is divided into three parts. The first part provides background information on ISL. An overview of the ISL structure is a prerequisite to identifying and understanding the difficulties encountered in the development of a recognition system. The second part involves the generation of a data repository: synthetic and real-time video. Initially the synthetic data is created in a 3D animation package in order to simplify the creation of motion variations of the animated signer. The animation environment in our implementation allows for the generation of different versions of the same gesture with slight variations in the parameters of the motion. Secondly a database of ISL real-time video was created. This database contains 1400 different signs, including motion variation in each gesture. The third part details step by step my novel classification system and the associated prototype recognition system. The classification system is constructed as a decision tree to identify each sign uniquely. The recognition system is based on only one component of the classification system and has been implemented as a Hidden Markov Model (HMM).
Keyword(s): Interactive computer systems; Visualization; Gesture; Image processing; gesture recognition; sign language; principal component analysis; Hidden Markov Models
Publication Date:
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Contributor(s): Sutherland, Alistair
Institution: Dublin City University
Citation(s): Péporté, Michèle (2009) Generating realistic, animated human gestures in order to model, analyse and recognize Irish Sign Language. Master of Science thesis, Dublin City University.
Publisher(s): Dublin City University. School of Computing
File Format(s): application/pdf
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First Indexed: 2009-11-17 02:04:39 Last Updated: 2019-02-09 06:57:46