摘要
在生理信号的情感识别中,有效特征子集的选择是识别情感的重要步骤,为解决这一问题,提出一种改进的邻域构造方法。通过自适应地产生邻域元素,较好地解决了情感生理信号的特征选择问题。仿真实验结果表明,该方法找到了有效的特征子集,达到了很好的情感识别效果,是可行和有效的。
In emotion recognition of physiological signals,selection of valid feature subset is the important step to identify emotion.An improved neighborhood structure by adaptive neighborhood elements is proposed to solve the problem about feature selection of emotion physiology signal.Simulation shows that the method of finding valid feature subset is feasible and effective.
出处
《计算机与现代化》
2013年第2期120-122,共3页
Computer and Modernization
关键词
情感识别
禁忌搜索
邻域规则
特征选择
emotion recognition
tabu search
neighborhood rule
feature selection
