Design and Implementation of Multilingual Sign Language Recognition System
Student: Ayobami Joshua Adeleke (Project, 2025)
Department of Computer and Information Science
Bamidele Olumilua University of Edu. Science and Tech. Ikere Ekiti, Ekiti State
Abstract
This project develops a real-time multilingual sign language recognition system using YOLO and TensorFlow, achieving 99% accuracy in detecting gestures across languages like ASL and BSL. Despite hardware and scope limitations, it shows strong potential to enhance accessibility for the Deaf community.
Keywords
Multilingual Sign Language Recognition
YOLO
TensorFlow
Real-Time Gesture Detection
Accessibility
Deaf Communication
Artificial Intelligence
Computer Vision
Inclusivity
Human-AI Interaction
For the full publication, please contact the author directly at: adeleke.0492@bouesti.edu.ng
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Institutions
- University of Port Harcourt Teaching Hospital, Port Harcourt , River State 6
- University of Port-Harcourt, Rivers State 225
- University of Uyo, Akwa Ibom State 214
- Usmanu Danfodio University, Sokoto, Sokoto State 248
- Veritas University, Bwari, FCT, Abuja 2
- Waziri Umaru Federal Polytechnic, Birnin Kebbi, Kebbi State 4
- Western Delta University, Oghara, Delta State 5
- Yaba College of Technology, Yaba, Lagos State 16
- Yobe State University, Damaturu, Yobe State 3
- Yusuf Maitama Sule University, Kano, Kano State 3