Motion feature augmented recurrent neural network for skeleton-based dynamic hand gesture recognition

@article{Chen2017MotionFA,
  title={Motion feature augmented recurrent neural network for skeleton-based dynamic hand gesture recognition},
  author={Xinghao Chen and Hengkai Guo and Guijin Wang and Xiang Lin},
  journal={2017 IEEE International Conference on Image Processing (ICIP)},
  year={2017},
  pages={2881-2885}
}
Dynamic hand gesture recognition has attracted increasing interests because of its importance for human computer interaction. In this paper, we propose a new motion feature augmented recurrent neural network for skeleton-based dynamic hand gesture recognition. Finger motion features are extracted to describe finger movements and global motion features are utilized to represent the global movement of hand skeleton. These motion features are then fed into a bidirectional recurrent neural network… CONTINUE READING

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