Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks

@article{Molchanov2016OnlineDA,
  title={Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks},
  author={Pavlo Molchanov and Xiaodong Yang and Shalini Gupta and Kihwan Kim and Stephen Tyree and Jan Kautz},
  journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2016},
  pages={4207-4215}
}
Automatic detection and classification of dynamic hand gestures in real-world systems intended for human computer interaction is challenging as: 1) there is a large diversity in how people perform gestures, making detection and classification difficult, 2) the system must work online in order to avoid noticeable lag between performing a gesture and its classification, in fact, a negative lag (classification before the gesture is finished) is desirable, as feedback to the user can then be truly… CONTINUE READING
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