SL-ReDu: Sign Language Recognition in Education


“SL-ReDu” is an innovative project that aims to exploit deep-learning progress to advance the state-of-the-art in video-based automatic recognition of Greek Sign Language (GSL), while focusing on the use-case of GSL education as a second language (L2). The project main objective is to address the need for standardized teaching and efficient self-assessment of GSL as L2, by conducting interdisciplinary research in engineering and humanities.


Main goals

  • Development of innovative computer vision and machine learning algorithms for video-based automatic sign language recognition.

  • Collection of a large multi-signer database of Greek Sign Language (GSL).

  • Human-computer interface design for the GSL education use-case.

  • Evaluation of GSL performance of the students at the Department of Special Education of the University of Thessaly in the context of learning and testing for the compulsory course “Introduction to Greek Sign Language” of the department curriculum.

SL-ReDu project duration

42 months: Jan 2020 – July 2023.

SL-ReDu project funding

SL-ReDu is supported by the Hellenic Foundation for Research and Innovation (H.F.R.I.) under the “First Call for H.F.R.I. Research Projects to support Faculty members and Researchers and the procurement of high-cost research equipment grant” (Contract Number: 2456).