Sign Language Recognition using 3D convolutional neural networks

@article{Huang2015SignLR,
  title={Sign Language Recognition using 3D convolutional neural networks},
  author={Jie Huang and Wengang Zhou and Houqiang Li and Weiping Li},
  journal={2015 IEEE International Conference on Multimedia and Expo (ICME)},
  year={2015},
  pages={1-6}
}
Sign Language Recognition (SLR) targets on interpreting the sign language into text or speech, so as to facilitate the communication between deaf-mute people and ordinary people. This task has broad social impact, but is still very challenging due to the complexity and large variations in hand actions. Existing methods for SLR use hand-crafted features to describe sign language motion and build classification models based on those features. However, it is difficult to design reliable features… CONTINUE READING
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