Submission status: Open
Paper Submission Deadline: 12 July, 2024
Notification of Acceptance: 3 August, 2024
Final Paper Submission: 20 August, 2024
Workshop Date: 3 September, 2024
The third edition of Majlis Nafath aims to explore and discuss the latest advancements in sign language processing technologies designed to support and empower individuals with disabilities. Participants will explore how innovations in machine learning, artificial intelligence, and natural language processing are transforming the interpretation and translation of sign language, making communication more accessible and inclusive. The focus will also be on cutting-edge tools and applications that bridge communication barriers, providing greater independence and participation for the Deaf and hard-of-hearing community. This edition is an invaluable opportunity for educators, technologists, healthcare professionals, and advocates to collaborate and drive forward the development of inclusive communication solutions.
Topics of Interest:
Suggested topics include, but are not limited to:
- Overview of sign language and its importance
- Basics of sign language recognition and translation
- Machine learning algorithms for sign language recognition
- Artificial intelligence applications in sign language translation
- Gesture recognition technologies
- Use of computer vision in sign language processing
- Challenges and solutions in sign language NLP
- Integrating NLP with Sign language databases
- Smart gloves and other wearable devices for sign language
- Mobile apps for sign language learning and translation
- Software tools for real-time sign language interpretation
- Enhancing accessibility through sign language technology
- Impact of sign language processing on the Deaf and hard of hearing community
- Sign language learning platforms and resources
- Role of technology in sign language education
- Sign language processing in healthcare field
- Ethical implications of sign language processing technology
- Future Directions in Sign Language Processing