no code implementations • LREC 2020 • Tommi Jantunen, Anna Puupponen, Birgitta Burger
We use synchronized 120 fps motion capture and 50 fps eye tracking data from two native signers to investigate the temporal order in which the dominant hand, the head, the chest and the eyes start producing overt constructed action from regular narration in seven short Finnish Sign Language stories.
no code implementations • LREC 2020 • Juhana Salonen, Antti Kronqvist, Tommi Jantunen
Keywords: Corpus of Finnish Sign Language, Language Bank of Finland, Finnish Signbank, annotation, metadata, research, teaching
no code implementations • LREC 2014 • Matti Karppa, Ville Viitaniemi, Marcos Luzardo, Jorma Laaksonen, Tommi Jantunen
We present a software toolkit called SLMotion which provides a framework for automatic and semiautomatic analysis, feature extraction and annotation of individual sign language videos, and which can easily be adapted to batch processing of entire sign language corpora.
no code implementations • LREC 2014 • Ville Viitaniemi, Tommi Jantunen, Leena Savolainen, Matti Karppa, Jorma Laaksonen
In this paper we present S-pot, a benchmark setting for evaluating the performance of automatic spotting of signs in continuous sign language videos.
no code implementations • LREC 2012 • Matti Karppa, Tommi Jantunen, Ville Viitaniemi, Jorma Laaksonen, Birgitta Burger, Danny De Weerdt
We consider a non-intrusive computer-vision method for measuring the motion of a person performing natural signing in video recordings.