Gesture Recognition: Focus on the Hands

Pradyumna Narayana; Ross Beveridge; Bruce A. Draper

CVPR 2018poster179 citations

Gesture Recognition: Focus on the Hands

Pradyumna Narayana, Ross Beveridge, Bruce A. Draper

Abstract

Gestures are a common form of human communication and important for human computer interfaces (HCI). Recent approaches to gesture recognition use deep learning methods, including multi-channel methods. We show that when spatial channels are focused on the hands, gesture recognition improves significantly, particularly when the channels are fused using a sparse network. Using this technique, we improve performance on the ChaLearn IsoGD dataset from a previous best of 67.71% to 82.07%, and on the NVIDIA dataset from 83.8% to 91.28%.

BibTeX

@inproceedings{cvpr2018_gesturerecogniti,
  title = {Gesture Recognition: Focus on the Hands},
  author = {Pradyumna Narayana and Ross Beveridge and Bruce A. Draper},
  booktitle = {CVPR 2018},
  year = {2018}
}