IMOTION: A Content-based Video Retrieval Engine, Luca Rossetto, Ivan Giangreco, Heiko Schuldt, Stéphane Dupon, Omar Seddati, T. Metin Sezgin, Yusuf Sahillioglu
Real-time activity prediction: a gaze-based approach for early recognition of pen-based interaction tasks, Cagla Cig and T. Metin Sezgin has been accepted for publication in Expressive 2015.
SVM-based Sketch Recognition: Which Hyper-parameter Interval to Try by Kemal Tugrul Yesilbek, Cansu Sen, Serike Cakmak and T. Metin Sezgin has been accepted for publication in Expressive 2015.
Recognition of Haptic Interaction Patterns in Dyadic Joint Object Manipulation by Cigil Ece Madan, Ayse Kucukyilmaz, Tevfik Metin Sezgin, and Cagatay Basdogan has been accepted for publication in IEEE Transactions on Haptics.
Dr. Sezgin has been awarded a TUBITAK 1003 Grant. The grant will support research in development and evaluation of pen-based intelligent user interfaces for eLearning in the context of the FATIH initiative. Of hundreds of initial proposals submitted to the 1003 call, only 67 made it past the first round, and only nine were eventually funded at the end of the second round reviews.
DPFrag: A Trainable Stroke Fragmentation Framework based on Dynamic Programming by R.Sinan Tümen and Tevfik Metin Sezgin has been accepted for publication in IEEE Computer Graphics and Applications.