@inproceedings{9857ca5b137d419abdcbdca5d3927bfa,
title = "Static hand gesture recognition with 2 kinect sensors",
abstract = "In this paper, we propose a robust static hand gesture recognition algorithm that makes use of two Kinect sensors. This will be used to control an avatar in a decision aid for rheumatoid arthritis patients who have a difficult time using a standard keyboard and mouse interface. The sensors are placed on the left and right sides of a target sensing area, easily set up in a doctor's office or waiting room. The Kinects provide a rich point cloud, out of which gestures from a known vocabulary are recognized in real time. We use 6 point cloud descriptors simultaneously and employ the majority rule voting scheme to pick a {"}winner{"} gesture in real time. We achieve rotation invariance by using part of the forearm as a good indicator of hand orientation and aligning the hand with the world coordinate system origin. We evaluate the performance of the recognition system under various motion and rotation conditions.",
keywords = "Gesture recognition, Kinect, Majority rule, Rheumatoid arthritis, Voting",
author = "Mihail, {R. P.} and N. Jacobs and J. Goldsmith",
year = "2012",
language = "English",
isbn = "9781601322258",
series = "Proceedings of the 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012",
pages = "911--917",
booktitle = "Proceedings of the 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012",
note = "2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012 ; Conference date: 16-07-2012 Through 19-07-2012",
}