@inproceedings{feb1689fbbc54445b7d7b08fecb6c81c,
title = "Real-time hand gesture feature extraction using depth data",
abstract = "In this paper, a novel method is proposed to extract hand gesture features in real-time from RGB-D images captured by the Microsoft's Kinect. A contour length information based de-noise method is introduced for the hand gesture smooth segmentation and edge contour extraction. In addition, a finger earth mover's distance algorithm is applied with a novel approach to locate the palm image and extract fingertip features. Especially the proposed Lasso algorithm can effectively extract the fingertip feature from a hand contour curve correctly with excellent real-time performance.",
author = "Hao Huang and Zhaojie Ju and Honghai Liu",
year = "2015",
month = jan,
day = "15",
doi = "10.1109/ICMLC.2014.7009118",
language = "English",
isbn = "978-1-4799-4216-9",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "206--213",
booktitle = "Proceedings of the 2014 International Conference on Machine Learning and Cybernetics (ICMLC)",
address = "United States",
note = "2014 International Conference on Machine Learning and Cybernetics, ICMLC 2014 ; Conference date: 13-07-2014 Through 16-07-2014",
}