Abstract: Effective communication is vital for promoting inclusivity and understanding in all areas of life, especially for individuals with hard of hearing, deaf or mute. One of the main ways that ...
Computational and Communication Science and Engineering (CoCSE), The Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania In the face of increasing cyberattacks, ...
The Department of Justice is appealing a federal judge's order requiring the White House to immediately begin providing American Sign Language (ASL) interpretation at its press briefings when ...
Welcome to the Real-Time Sign Language Detection project, where we guide you through building a machine learning model capable of detecting sign language gestures live. Using advanced computer vision ...
1 School of Computation and Communication Science and Engineering, The Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania 2 Faculty of Science and Technology, Mzumbe ...
What if technology could bridge the gap between spoken language and sign language, empowering millions of people to communicate more seamlessly? With advancements in deep learning, this vision is no ...
Abstract: This research study presents an innovative approach combining deep learning and Mediapipe to enhance real-time sign language interpretation, crucial for aiding the hard of hearing. By ...