Njazi, Shaun and Ng, Sokchoo (2021) Veritas: A sign language-to-text translator using machine learning and computer vision. In: 4th International Conference on Computational Intelligence and Intelligent Systems, CIIS 2021, 20-22 November 2021, Virtual, Online.
Full text not available from this repository.Abstract
Language is a vital part of society, as being able to converse with one another allows people to grow advance and share resources. We value the ability of being able to communicate with people and being able to have our lives interact. Just as humanity advances so does language, as well as the inherent language barriers that are associated with it. One communication barrier to be overcome is improving the ability for the non-verbal and verbal speakers to effectively communicate with each other. With the aid of technology, communication between these two parties has improved. This study aims to showcase how to improve the effectiveness of communication between the non-verbal and verbal speakers by using machine learning and computer vision. An application, named Veritas was developed to allow people using sign language to communicate their messages and have that message translated into readable text. Veritas helps people who are struggling with verbal communication communicate better with a non-verbal speaker and vice versa. © 2021 Association for Computing Machinery. All rights reserved.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Funders: | None |
| Uncontrolled Keywords: | Machine learning; Translation (languages), Communication barriers; Language barriers; Machine-learning; Sign language; Technology communications; Verbal communications; Veritas, Computer vision |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 15 Jul 2024 07:40 |
| Last Modified: | 15 Jul 2024 07:40 |
| URI: | http://eprints.um.edu.my/id/eprint/36077 |
Actions (login required)
 |
View Item |
