%0 Journal Article
%T Fatigue Recognition Based on Facial Motion and Improved Locality Preserving Projections<br>基于人脸运动信息和改进保局投影的疲劳识别
%A ZHANG Wei
%A XIA Li-min
%A LUO Da-yong
%A <br>张伟
%A 夏利民
%A 罗大庸
%J 计算机科学
%D 2010
%I 
%X In this paper, we presented a new method for fatigue recognition based on facial motion and improved locality preserving projections. Facial velocity information,which is determined using Optical flow techniques,was used to characterize fatigue. The improved locality preserving projections,which preserve the local and global structure of the data manifold,was proposed to extract the effective fatigue feature. Weighted K-nearest neighbor (WKNN) was instructed to recognize fatigue. A set of experiments of fatigue recognition were presented, and the experiment results show that the proposed method is effective and attains a satisfactory effect.
%K Fatigue recognition
%K Improved locality preserving projections
%K WKNN<br>疲劳识别，保局投影，加权k近部
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=345B701ED726A59F4FF0B5AB86C455BD&yid=140ECF96957D60B2&vid=42425781F0B1C26E&iid=708DD6B15D2464E8&sid=FDC7AF55F77D8CD4&eid=866F8A6B640835A7&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0