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Building a web-based continuous sign language translation application for the deaf and hard-of-hearing (DHH)

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dc.contributor.author Atule, Samuel
dc.date.accessioned 2021-03-18T12:55:10Z
dc.date.available 2021-03-18T12:55:10Z
dc.date.issued 2020-05
dc.identifier.uri http://hdl.handle.net/20.500.11988/629
dc.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 en_US
dc.description.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. en_US
dc.description.sponsorship Ashesi University en_US
dc.language.iso en en_US
dc.subject mobile application en_US
dc.subject sign language translation en_US
dc.subject web-based application en_US
dc.subject machine learning en_US
dc.title Building a web-based continuous sign language translation application for the deaf and hard-of-hearing (DHH) en_US
dc.type Applied project en_US


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