This project aims to create the first corpus of sign language used in Kazakhstan appropriate for machine learning and linguistics research. We also aim to create a semi-automatic tool, which will automatically annotate sign language, thus contributing to a challenging vision-based automatic SLR. And finally, we aim to develop a robust algorithm, which will firstly be used during annotation process and then further applied for automatic SLR for various human-computer/robot interaction applications.

This interdisciplinary project aims to assess and manage the risks relating to the transition of Kazakh language from Cyrillic to Latin in Kazakhstan in order to address challenges of a) teaching and motivating children to learn a new script and its associated handwriting, and b) training and providing support for all demographic groups, in particular senior generation.

This interdisciplinary project is conducted aims to explore patient-centered research with the mission of enabling the design, implementation, and evaluation of robots that encourage social, emotional, and cognitive growth in children, including those with social or cognitive deficits.