KUALA LUMPUR: With more than four decades of dedication as a sign language interpreter ... She described the award as a great recognition for her in the “silent” struggle to convey the ...

Under a pre-2022 policy, a new bilingual sign required the backing of 66.6% ... My issue again with this is that we are talking about a minority language, and we are asking that a minority ...

Abstract: Sign language recognition is extremely pivotal for filling the void existing between those deaf or hard of hearing, and the rest of mankind. Computer vision advancement through deep learning ...

This project proposes a deep learning-based solution to recognize hand signs representing numbers (0–9) in sign language. Using Convolutional Neural ... Convolutional Networks for Large-Scale Image ...

Here the work presented is recognition of Indian Sign Language. The application of this work is limited to Indian subcontinent where around 5% of the population is using Indian Sign Language to ...

Secondly, the point cloud and the template are subjected to a similarity metric using the Mapper algorithm to obtain the final recognition results. Fig. 4. Schematic diagram of the proposed indoor HAR ...