Online RGB-D gesture recognition with extreme learning machines

@inproceedings{Chen2013OnlineRG,
  title={Online RGB-D gesture recognition with extreme learning machines},
  author={Xi Chen and Markus Koskela},
  booktitle={ICMI},
  year={2013}
}
Gesture recognition is needed in many applications such as human-computer interaction and sign language recognition. The challenges of building an actual recognition system do not lie only in reaching an acceptable recognition accuracy but also with requirements for fast online processing. In this paper, we propose a method for online gesture recognition using RGB-D data from a Kinect sensor. Frame-level features are extracted from RGB frames and the skeletal model obtained from the depth data… CONTINUE READING
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A HMM-based threshold model approach for gesture recognition

  • H.-K. Lee, J. H. Kim
  • IEEE Transactions on Pattern Analysis and Machine…
  • 1999
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