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The Development and Comparison of Arabic Sign Language Gesture Recognition Models
Project definition:
This is a research study to obtain the degree of PH.D. under the supervision of Prof. Hana Abdullah Al-Nuaim, where the idea of research began in 2013 and graduated with a PhD degree in 2018.
This project aimed to:
- To support hearing-impaired students at KAU to have equal learning opportunities as mainstream students
- To contribute to the field of research in ArSL from a technical perspective. It may lead to a considerable enhancement of the quality of learning and teaching for such disadvantaged groups: a vision which all Saudi universities share
Abstract:
Technology plays an important role in enhancing communication with the deaf, yet the available solutions lack accuracy and speed, making them difficult to implement in real life applications to improve their quality of life.
Arabic Sign Language (ArSL) is similar to other sign languages in terms of the way it is interpreted, yet it lacks scientific research that incorporates sensors and natural user interfaces. Some of the available technologies - for ArSL - use electronic devices that are either wearable, electronic gloves, or using computer vision. However, the data extracted from these devices are colored images and recorded videos which need high computational processing time to recognize and interpret sign language. For more about the abstract click here.
Links to published research from the thesis, to view the publication Click here
Data collected to be used in similar projects, to view the file Click here
Experimental side from the thesis subject Click here
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