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Sign Language Generation

Primary supervisor

Kalin Stefanov

Computational modelling of sign languages aims to develop technologies that can serve as means for understanding (i.e., recognising) and producing (i.e., generating) a particular sign language. The objective of this project is to study and contribute to the state-of-the-art in sign language generation.

This is a research project best for students who are independent and willing to take up challenges. It is also a good practice for students who wish to pursue further study at a postgraduate level.

Student cohort

Double Semester

Required knowledge

The student must know about deep learning (e.g., taking online deep learning and computer vision courses) and be skilful in Python programming.