Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/594143
Title: Hand gesture based continuous sign language recognition system
Researcher: Jayanthi, P
Guide(s): Ponsy RK Sathia Bhama
Keywords: Computer Science
Computer Science Artificial Intelligence
deaf-mute
Engineering and Technology
sign language
University: Anna University
Completed Date: 2024
Abstract: Sign Language Recognition (SLR) system plays a crucial role in facilitating communication between deaf-mute individuals and those who can hear and speak. Gesture recognition is a type of perceptual computing user interface that is capable of capturing the human gestures and interpreting these gestures. Gesture is a non-verbal action that is being performed by the humans. Signs are gestures performed by the hearing and speech impaired people as a means of communication. Sign languages vary across regions, including American Sign Language (ASL), British Sign Language (BSL), Indian Sign Language (ISL), Arabic Sign Language (ArSL), Chinese Sign Language (CSL), and others. The features of sign language encompass Manual Parameters, which consist of Hand-shape, Hand-orientation, Location, and Motion, as well as Non-manual Parameters, which involve Gaze, Facial expression, Mouth movements, Position, and Motion of the Trunk and Head (Catherine et al. 2022). newline
Pagination: xx,150p.
URI: http://hdl.handle.net/10603/594143
Appears in Departments:Faculty of Information and Communication Engineering

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02_prelim_pages.pdf633.43 kBAdobe PDFView/Open
03_content.pdf137.65 kBAdobe PDFView/Open
04_abstract.pdf133.55 kBAdobe PDFView/Open
05_chapter1.pdf940.96 kBAdobe PDFView/Open
06_chapter2.pdf411.21 kBAdobe PDFView/Open
07_chapter3.pdf1.3 MBAdobe PDFView/Open
08_chapter4.pdf1.39 MBAdobe PDFView/Open
09_chapter5.pdf2.34 MBAdobe PDFView/Open
10_annexures.pdf131.13 kBAdobe PDFView/Open
80_recommendation.pdf384.9 kBAdobe PDFView/Open
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