The SignTalk Project is dedicated to improving healthcare
accessibility for the hearing and speech impaired in Ghana by
creating a Ghanaian Sign Language (GSL) translation system.
Through advanced deep learning technologies, the project focuses
on translating common healthcare terms and phrases to bridge
communication gaps. Phase II has created a robust video dataset
of over 3000 GSL signs specific to healthcare interactions,
offering crucial support for both patients and healthcare
providers. With multilingual support and a validation platform
for accuracy, SignTalk advances inclusivity, setting a new
standard in accessible healthcare communication for Ghanaian
sign language users.
The SignTalk Project under this theme seeks to create a solution
that enhances healthcare accessibility for Ghanaian sign language
(GSL) users. This project is dedicated to promoting inclusivity,
effective communication, and improved healthcare for the hearing
and speech impaired community in Ghana. The initiative arose from
the recognition of communication barriers between healthcare
providers and patients who use GSL, which can lead to
misunderstandings and hindered care. Routine healthcare
interactions, such as explaining symptoms, understanding
diagnoses, or following medical instructions, can be challenging
without adequate translation support. With advancements in deep
learning and natural language processing, SignTalk leverages these
technologies to create a reliable GSL translation system.
Additionally, multilingual support ensures that healthcare
providers can communicate effectively with GSL users, regardless
of language, fostering a more inclusive and accessible healthcare
environment.
PROJECT TEAM
Dr. Emmanuel Ahene
Lecturer, Computer Science Department, Kwame Nkrumah University of Science and Technology (KNUST)