@inproceedings{4ad9af36a84046d8abf02ab20439ca95,
title = "Hand posture recognition using kinect",
abstract = "In this paper, we introduce a two-stage Hand Posture Recognition system using a Kinect sensor. In the first stage, we propose an effective algorithm to segment hand region from complex background, which incorporates both color, depth and skeleton information, without specific requirements on uniform-colored or stable background. It is robust with skin-color noise like arms and face, and can handle both-hands gesture. In the second stage, we use a standard Nearest Neighbor to recognize the posture. Experiments shows that the proposed system achieves high recognition accuracy.",
keywords = "Hand segmentation, Kinect 2.0, Posture recognition",
author = "Jinhong Xie and Xukun Shen",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 5th International Conference on Virtual Reality and Visualization, ICVRV 2015 ; Conference date: 17-10-2015 Through 18-10-2015",
year = "2016",
month = may,
day = "9",
doi = "10.1109/ICVRV.2015.9",
language = "英语",
series = "Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "89--92",
editor = "Zhong Zhou and Weiliang Meng and Junfeng Yao and Xiaopeng Zhang and Xun Luo",
booktitle = "Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015",
address = "美国",
}