2019
Learning Motion Disfluencies for Automatic Sign Language Segmentation
ICASSP 2019accepted
We introduce a novel technique for the automatic detection of word boundaries within continuous sentence expressions in Japanese Sign Language from three-dimensional body joint positions. First, the flow of signed sentence data within a temporal neighborhood is determined utilizing the spatial corre…