摘要
针对生理信号的情感识别问题,采用自适应分层式遗传算法方法对生理信号进行特征选择,能有效地解决特征组合优化问题。实验仿真表明,可以得到有效地特征组合来进行生理信号情感状态识别。
For the problem of emotion recognition of physiological signals,the paper presents an introduction to adaptive hierarchical genetic algorithm.With the help of feature selection to the physiological signals,the optimization problem can easily be solved.It s shown in the simulation that using the features got from the experiments to recognize the emotion states is effective.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第1期103-105,121,共4页
Computer Engineering and Applications
基金
国家自然科学基金No.60873143
西南大学国家重点学科基础心理学科研基金No.NKSF07003~~
关键词
遗传算法
情感识别
生理信号
特征选择
循环策略
genetic algorithm
emotion recognition
physiological signals
feature selection
circular strategy
