Non-manual grammatical marker recognition based on multi-scale, spatio-temporal analysis of head pose and facial expressions ?
Eyebrow gestures and periodic head movements convey linguistic information. We propose multi-scale approach for recognizing non-manual grammatical marker. We obtain high-level features from spatio-temporal analysis of non-manual events. We use two-stage CRFs to recognize events and partition them into phases. Experiments demonstrate superior improvements in ASL.
non-manual grammatical markers facial expressions american sign language (asl) eyebrow height head gestures conditional random field (crf)