Spatio-Temporal Feature-Extraction Techniques for Isolated Gesture Recognition in Arabic Sign Language

@article{Shanableh2007SpatioTemporalFT,
  title={Spatio-Temporal Feature-Extraction Techniques for Isolated Gesture Recognition in Arabic Sign Language},
  author={Tamer Shanableh and Khaled Assaleh and Mohammad A. Al-Rousan},
  journal={IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)},
  year={2007},
  volume={37},
  pages={641-650}
}
This paper presents various spatio-temporal feature-extraction techniques with applications to online and offline recognitions of isolated Arabic Sign Language gestures. The temporal features of a video-based gesture are extracted through forward, backward, and bidirectional predictions. The prediction errors are thresholded and accumulated into one image that represents the motion of the sequence. The motion representation is then followed by spatial-domain feature extractions. As such, the… CONTINUE READING
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