Building a web-based continuous sign language translation application for the deaf and hard-of-hearing (DHH)
Date
2020-05
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Abstract
Advancement in technology has brought about limitless possibilities. We have seen
technology been applied to every aspect of our lives, from Medicine to the food we eat. This
technology can also be applied to make life more comfortable for the Deaf and Hard-of Hearing (DHH) individuals. Assistive technologies have been built for individuals with
various forms of disabilities. DHH individuals have seen assistive technologies in the form
of mechanical hardware, and cybernetics that enables translation of sign language to verbal
communication in various languages. However, these technologies are often expensive and
difficult to afford. In this project, an automatic sign language translation model is
implemented to help people without hearing impairment to communicate better with DHH
individuals in order to better provide services for them.
Description
Applied project submitted to the Department of Computer Science and Information Systems, Ashesi University, in partial fulfillment of Bachelor of Science degree in Computer Science, May 2020
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Applied project
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Keywords
mobile application, sign language translation, web-based application, machine learning