Faculty of Engineering and Natural Sciences
Vision Based Sign Language Recognition
Sign language recognition is a multidisciplinary research area involving pattern recognition, computer vision, natural language processing and linguistics. It is a multifaceted problem not only because of the complexity of the visual analysis of hand gestures but also due to the highly multimodal nature of sign languages. Sign languages make use of hand gestures (manual signs) and several other body movements in parallel, such as the use of facial expressions and head movements (non-manual signs). This talk addresses the problem of
vision based sign language recognition and focuses on the main tasks, such as hand tracking, sign modeling and recognition, to design improved techniques that increase the performance
of sign language recognition systems. Two applications will also be presented, a sign
language tutor and an automatic sign dictionary.
Oya Aran received the BS, MS and PhD degrees in Computer Engineering from
Turkey in 2000, 2002 and 2008, respectively. She was awarded a Marie Curie International European Fellowship in 2009 and will continue her research in IDIAP,
Switzerland as a Marie Curie fellow. Her research interests include pattern recognition, machine learning, computer vision and human-computer interaction.
March 18, 2009, 13:40,