%0 Journal Article
%T Application of Random Forest Algorithm in Improtant Feature Selection from EMG Signal<br>随机森林算法在肌电的重要特征选择中的应用
%A ZHANG Hong-qiang
%A LIU Guang-yuan
%A LAI Xiang-wei
%A <br>张洪强
%A 刘光远
%A 赖祥伟
%J 计算机科学
%D 2013
%I 
%X It is a hard problem that how to find the effective feature from high-dimensional feature in EMU signal emotion recognition. I}his paper used random forest algorithm to comput the contribution in different emotion recognition of the 126 EMU signal, depending on the feature evaluation criteria of random forest algorithm, and then preferentially made up the features that have more contribution to emotion recognition,and used then to emotion recognition. Experiments show it is reasonable.
%K Emotion recognition
%K Random forest
%K EMG signal
%K Feature selection<br>情感识别
%K 随机森林
%K 肌电信号
%K 特征选择
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=F2F3E0E822DEB5B2DDB6051AA2DCD24A&yid=FF7AA908D58E97FA&vid=1371F55DA51B6E64&iid=CA4FD0336C81A37A&sid=1E41DF9426604740&eid=974CBB04624305A1&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0